{"site":{"name":"ComputePulse","tagline":"AI and compute, live: model releases, research volume, benchmarks, GPU prices, token throughput, and the compute buildout.","domain":"computepulse.pages.dev"},"generatedAt":"2026-11-02T12:00:20.416Z","status":"good","sections":[{"name":"Vitals","instruments":[{"kind":"metric","order":"desc","staleAfter":"12h","seriesMode":"merge","unit":"models/24h","decimals":0,"history":720,"needsKey":null,"higherIsWorse":false,"describe":"Model repositories created on the Hugging Face Hub in the last 24 hours — the broadest available pulse of how fast open model publishing is moving.","id":"hf-new-models-24h","section":"Vitals","title":"New models published on Hugging Face","cadence":"6h","source":{"name":"Hugging Face Hub API","url":"https://huggingface.co/api/models?sort=createdAt&direction=-1","license":"Hub metadata, free/keyless API"},"thresholds":null},{"kind":"metric","order":"desc","staleAfter":"12h","seriesMode":"merge","unit":"of 3","decimals":0,"history":288,"needsKey":null,"higherIsWorse":true,"describe":"How many of OpenAI, Anthropic and Hugging Face are currently self-reporting anything other than fully operational.","id":"ai-providers-degraded","section":"Vitals","title":"AI providers reporting degradation","cadence":"6h","source":{"name":"OpenAI / Anthropic / Hugging Face status pages","url":"https://status.openai.com/","license":"public status endpoints"},"thresholds":[{"level":"serious","gte":2},{"level":"warning","gte":1}]}],"status":"good"},{"name":"Models","instruments":[{"kind":"metric","order":"desc","staleAfter":null,"seriesMode":"merge","unit":"models","decimals":0,"history":240,"needsKey":null,"higherIsWorse":false,"describe":"How many distinct LLMs are commercially servable through a single aggregator right now — a proxy for how crowded the inference market has become.","id":"openrouter-models","section":"Models","title":"Models routable on OpenRouter","cadence":"6h","source":{"name":"OpenRouter","url":"https://openrouter.ai/api/v1/models","license":"public API, keyless"},"thresholds":null},{"kind":"events","order":"desc","staleAfter":"12h","seriesMode":"merge","unit":"","decimals":1,"history":120,"needsKey":null,"higherIsWorse":true,"describe":"The newest public model repos from the labs that set the frontier (Meta, Google, Qwen, DeepSeek, Mistral, NVIDIA, AI2, xAI, Moonshot, Z.ai and friends).","id":"hf-lab-releases","section":"Models","title":"Latest model releases from major labs","cadence":"6h","source":{"name":"Hugging Face Hub API","url":"https://huggingface.co/models?sort=created","license":"Hub metadata, free/keyless API"},"thresholds":null}],"status":"unknown"},{"name":"Research","instruments":[{"kind":"metric","order":"desc","staleAfter":"5d","seriesMode":"merge","unit":"papers/day","decimals":0,"history":240,"needsKey":null,"higherIsWorse":false,"describe":"Daily rate of new cs.AI / cs.LG / cs.CL submissions, averaged over a complete 7-day window ending three days ago (arXiv indexes submissions with that much lag).","id":"arxiv-ai-papers","section":"Research","title":"AI preprints posted to arXiv","cadence":"6h","source":{"name":"arXiv API","url":"https://info.arxiv.org/help/api/index.html","license":"arXiv API Terms of Use — metadata free to reuse with attribution"},"thresholds":null},{"kind":"events","order":"desc","staleAfter":null,"seriesMode":"merge","unit":"","decimals":1,"history":120,"needsKey":null,"higherIsWorse":true,"describe":"The arXiv preprints the ML community is actually upvoting today — a curated counterweight to raw submission volume.","id":"hf-daily-papers","section":"Research","title":"Papers of the day","cadence":"6h","source":{"name":"Hugging Face Daily Papers","url":"https://huggingface.co/papers","license":"Hub metadata, free/keyless API"},"thresholds":null}],"status":"unknown"},{"name":"Frontier & benchmarks","instruments":[{"kind":"metric","order":"desc","staleAfter":"120d","seriesMode":"merge","unit":"models","decimals":0,"history":400,"needsKey":null,"higherIsWorse":false,"describe":"Cumulative count of publicly known models trained with at least 10²⁵ floating-point operations — the compute level at which the EU AI Act and US reporting rules consider a training run frontier-scale.","id":"epoch-frontier-models","section":"Frontier & benchmarks","title":"Models trained above 10²⁵ FLOP","cadence":"1d","source":{"name":"Epoch AI — Notable AI Models","url":"https://epoch.ai/data/notable-ai-models","license":"CC BY 4.0"},"thresholds":null},{"kind":"metric","order":"desc","staleAfter":"720d","seriesMode":"merge","unit":"H100-equivalents","decimals":0,"history":200,"needsKey":null,"higherIsWorse":false,"describe":"Size of the biggest AI training cluster Epoch has confirmed is operational, normalised to H100-equivalent chips. The series shows only record-breaking clusters, so it is the historical high-water mark of hardware concentration.","id":"epoch-largest-cluster","section":"Frontier & benchmarks","title":"Largest known AI cluster","cadence":"1d","source":{"name":"Epoch AI — Data on AI Supercomputers","url":"https://epoch.ai/data/ai-supercomputers","license":"CC BY 4.0"},"thresholds":null},{"kind":"metric","order":"desc","staleAfter":null,"seriesMode":"merge","unit":"index","decimals":1,"history":240,"needsKey":"ARTIFICIAL_ANALYSIS_API_KEY","higherIsWorse":false,"describe":"Best score any model currently posts on the Artificial Analysis Intelligence Index, a composite of reasoning, coding and knowledge benchmarks — the single number that tracks the capability frontier.","id":"aa-intelligence-index","section":"Frontier & benchmarks","title":"Top Intelligence Index score","cadence":"6h","source":{"name":"Artificial Analysis","url":"https://artificialanalysis.ai/","license":"free API key required; see their terms for redistribution limits"},"thresholds":null}],"status":"unknown"},{"name":"Usage & prices","instruments":[{"kind":"metric","order":"desc","staleAfter":"12h","seriesMode":"merge","unit":"$/GPU-hr","decimals":3,"history":720,"needsKey":null,"higherIsWorse":true,"describe":"Lowest advertised on-demand price for one H100 SXM on Vast.ai — a floor set by whichever independent host is cheapest right now. Vast.ai is a decentralised marketplace of smaller and hobbyist hosts, so a single cheap listing can pull this down even when vetted enterprise capacity (CoreWeave, Lambda, the hyperscalers) is tight. Read it as directional pressure on the loose end of the GPU market, not a market-wide clearing price.","id":"gpu-h100-spot","section":"Usage & prices","title":"Cheapest rentable H100","cadence":"6h","source":{"name":"Vast.ai marketplace","url":"https://cloud.vast.ai/create/","license":"public console API, keyless"},"thresholds":null},{"kind":"metric","order":"desc","staleAfter":null,"seriesMode":"merge","unit":"$/M tokens","decimals":3,"history":240,"needsKey":null,"higherIsWorse":true,"describe":"Median list price to send a million input tokens to a paid model with at least a 128k context window — the going rate for serious LLM work.","id":"openrouter-price-longctx","section":"Usage & prices","title":"Median input price, long-context models","cadence":"6h","source":{"name":"OpenRouter","url":"https://openrouter.ai/models","license":"public API, keyless"},"thresholds":null}],"status":"unknown"},{"name":"Ecosystem","instruments":[{"kind":"metric","order":"desc","staleAfter":"7d","seriesMode":"merge","unit":"downloads/week","decimals":0,"history":400,"needsKey":null,"higherIsWorse":false,"describe":"Combined weekly npm installs of the five SDKs most JavaScript apps use to call a model (OpenAI, Anthropic, Google GenAI, LangChain, Vercel AI) — a demand signal from the builder side rather than the lab side.","id":"npm-ai-sdk-downloads","section":"Ecosystem","title":"AI SDK downloads from npm","cadence":"1d","source":{"name":"npm registry download API","url":"https://github.com/npm/registry/blob/master/docs/download-counts.md","license":"public API, keyless"},"thresholds":null}],"status":"unknown"},{"name":"Incidents","instruments":[{"kind":"events","order":"desc","staleAfter":"12h","seriesMode":"merge","unit":"","decimals":1,"history":120,"needsKey":null,"higherIsWorse":true,"describe":"Every incident the big model providers have opened on their own status pages, newest first, with their own severity rating.","id":"ai-incidents","section":"Incidents","title":"AI platform incidents","cadence":"6h","source":{"name":"OpenAI / Anthropic / Google Cloud status pages","url":"https://status.anthropic.com/","license":"public status endpoints"},"thresholds":null}],"status":"unknown"},{"name":"Announcements","instruments":[{"kind":"events","order":"desc","staleAfter":"12h","seriesMode":"merge","unit":"","decimals":1,"history":150,"needsKey":null,"higherIsWorse":true,"describe":"What the labs themselves said this week — model launches, safety posts and research write-ups, straight from their own feeds.","id":"lab-announcements","section":"Announcements","title":"Lab announcements","cadence":"6h","source":{"name":"OpenAI / DeepMind / Google / Hugging Face / Mistral blogs","url":"https://openai.com/news/","license":"publisher RSS feeds"},"thresholds":null}],"status":"unknown"}],"instruments":{"hf-new-models-24h":{"id":"hf-new-models-24h","kind":"metric","value":3997,"at":"2026-11-02T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":173,"series":[[1787117729234,4296],[1787121342297,4306],[1787124942288,4315],[1787128542287,4368],[1787132142289,4390],[1787135742289,4344],[1787139342290,4237],[1787142942290,4225],[1787146542291,4155],[1787150142294,4158],[1787153742287,4011],[1787157342292,3896],[1787160942289,3751],[1787164542288,3756],[1787168142290,3704],[1787171742289,3692],[1787175342290,3684],[1787178942292,3680],[1787182542288,3732],[1787186142287,3788],[1787189742289,3852],[1787193342289,3905],[1787196942300,4077],[1787200542287,4143],[1787204142286,4165],[1787207742288,4146],[1787211342286,4181],[1787214942285,4155],[1787218542287,4152],[1787222142286,4157],[1787225742286,4139],[1787229943149,4121],[1787233543144,4169],[1787237143151,4238],[1787240743163,4159],[1787244343146,4133],[1787247943154,4153],[1787251543151,4160],[1787255143144,4182],[1787258743145,4389],[1787262343144,4450],[1787265943143,4417],[1787269543143,4377],[1787273143144,4326],[1787276743145,4248],[1787280343146,4179],[1787283943146,4024],[1787296543169,3965],[1787300143151,3960],[1787303743148,3961],[1787307343154,3989],[1787310943146,4012],[1787314543145,4078],[1787318143145,4082],[1787321743144,4168],[1787325343148,4209],[1787328943143,4298],[1787332543149,4356],[1787336143147,4438],[1787339743157,4560],[1787343343145,4655],[1787346943157,4468],[1787350543143,4553],[1787354143158,4672],[1787357743144,4788],[1787361343143,4889],[1787364943144,4894],[1787368543157,4958],[1787372143144,4951],[1787375743150,4997],[1787379343143,5052],[1787382943149,5040],[1787386543147,5110],[1787390143147,5010],[1787393743147,5070],[1787397343147,5091],[1787400943145,5012],[1787404543144,4978],[1787408143145,4928],[1787411743144,4832],[1787415343146,4732],[1787418943147,4648],[1787422543144,4552],[1787426143144,4382],[1787429743143,4321],[1787433343144,4297],[1787436943141,4174],[1787440543143,4057],[1787444143142,3957],[1787447743143,3886],[1787451343143,3873],[1787454943143,3779],[1787458543143,3709],[1787462143145,3720],[1787483705819,3374],[1787487305721,3393],[1787490905616,3396],[1787494505616,3329],[1787498105617,3278],[1787501705620,3259],[1787505305625,3252],[1787508905618,3244],[1787512505620,3224],[1787560205840,3333],[1787563805806,3407],[1787567405715,3478],[1787571005816,3460],[1787574606014,3466],[1787578205816,3541],[1787581806042,3607],[1787585405904,3645],[1787589005920,3651],[1787592605819,3666],[1787596206151,3705],[1787599806011,3721],[1787603405818,3714],[1787607005915,3734],[1787610605732,3812],[1787614206027,3855],[1787617805707,3878],[1787621405720,3842],[1787625005617,3857],[1787647505739,4067],[1787651105620,4023],[1787654705616,3975],[1787658305619,3976],[1787661905626,3973],[1787665505620,3919],[1787669105629,3954],[1787672705630,3991],[1787677206552,4035],[1787680806761,4019],[1787684406733,4029],[1787688006421,4041],[1787691606859,4072],[1787695206522,4111],[1787698806133,4142],[1787702406420,4146],[1787706006257,4154],[1787709606014,4114],[1787713205745,4134],[1787716805838,4171],[1787720405761,4206],[1787724005646,4197],[1787727605626,4205],[1787731205642,4270],[1787734805769,4253],[1787738405642,4311],[1787742005617,4309],[1787745605744,4387],[1787749205661,4444],[1787752805819,4553],[1787756405730,4565],[1787760005713,4618],[1787763605725,4596],[1787767205817,4594],[1787770805630,4561],[1787774405639,4526],[1787778005667,4529],[1787781605641,4534],[1787785205626,4544],[1787788805725,4523],[1787792405638,4534],[1787796005621,4604],[1787799605646,4597],[1787803205712,4500],[1787806805671,4511],[1787810405645,4554],[1787814005635,4545],[1787817605707,4626],[1787821205615,4653],[1787824805736,4662],[1787828405908,4666],[1787832005922,4649],[1787835606423,4626],[1787839206042,4575],[1787842806132,4568],[1787846406158,4582],[1787850005836,4652],[1787853606568,4641],[1787857206019,4711],[1787860806527,4728],[1787864406123,4860],[1787868006292,4895],[1787871606084,4898],[1787875205819,5030],[1787878805910,5034],[1787882405919,5068],[1787915705634,4969],[1787919305623,4973],[1787922905620,4972],[1787926505624,4990],[1787930105629,4960],[1787933705651,4928],[1787937305624,4921],[1787940905635,4974],[1787944505617,4937],[1787948105622,4910],[1787951705644,4831],[1787955305620,4792],[1787964354734,4662],[1787967952964,4701],[1787971553341,4679],[1787975153942,4658],[1787978754441,4599],[1787982354948,4591],[1787985954398,4588],[1787989554557,4511],[1787993154946,4708],[1787996754271,4676],[1788000356580,4642],[1788003955463,4594],[1788007554323,4617],[1788011154063,4523],[1788014754091,4440],[1788018354255,4328],[1788021954989,4214],[1788025556393,4152],[1788029154978,3949],[1788032755889,3911],[1788036356862,3861],[1788039953564,3848],[1788043552274,3742],[1788047157675,3716],[1788050752430,3685],[1788054351148,3562],[1788057951670,3485],[1788061550940,3474],[1788065151267,3457],[1788068749957,3422],[1788072349865,3436],[1788075951360,3401],[1788079552169,3305],[1788083152655,3313],[1788086752866,3257],[1788090355092,3216],[1788093953587,3151],[1788097553120,3157],[1788101153374,3168],[1788104752222,3201],[1788108357088,3262],[1788111955502,3323],[1788115550821,3356],[1788119153676,3418],[1788134409415,3465],[1788156014839,3605],[1788177613957,3822],[1788199209372,3847],[1788220806954,3788],[1788242410153,3958],[1788264010278,3949],[1788285612270,4002],[1788307209496,3908],[1788328809450,3754],[1788350411057,3810],[1788372009052,4079],[1788393607428,4262],[1788415209261,4510],[1788436815625,4563],[1788458444157,4304],[1788480037910,4092],[1788501636991,3706],[1788523244684,3633],[1788544843647,3535],[1788566434425,3559],[1788588033108,3341],[1788609656159,3117],[1788631256648,3045],[1788652839601,2986],[1788674431834,3101],[1788696070905,3249],[1788717652779,3347],[1788739246165,3387],[1788760854804,3486],[1788782450891,3512],[1788804047752,3539],[1788825642995,3571],[1788847245826,3499],[1788868845026,3418],[1788890446191,3425],[1788912043025,3491],[1788933645048,3749],[1788955245328,3856],[1788976846305,3878],[1788998468043,3954],[1789020072862,3668],[1789041679491,3444],[1789063277603,3560],[1789084869264,3551],[1789106464952,3738],[1789128049160,3809],[1789149640084,3784],[1789171250977,3882],[1789192862242,3383],[1789214461980,3435],[1789236066897,3240],[1789257660361,3085],[1789279260985,3330],[1789300862113,3257],[1789322477866,3438],[1789344059160,3504],[1789365657586,3544],[1789387268572,3698],[1789408859666,4016],[1789430457564,4121],[1789452058776,4126],[1789473656099,4513],[1789495265197,4237],[1789516858252,4172],[1789538408071,3901],[1789560015601,3726],[1789581620698,3726],[1789603205243,3861],[1789624808250,3982],[1789646417999,3617],[1789668016374,3589],[1789689607653,3362],[1789711206239,3307],[1789732812513,3441],[1789754426266,3317],[1789776026338,3401],[1789797626331,3311],[1789819226335,3186],[1789840826557,3133],[1789862426530,3086],[1789884026434,3031],[1789905626335,3117],[1789927226258,3293],[1789948847034,3261],[1789970446807,3458],[1789992047995,3663],[1790013647476,3786],[1790035246516,4052],[1790056847212,4326],[1790078449534,4230],[1790100048494,4277],[1790121647034,4230],[1790143248633,4231],[1790164851263,4368],[1790186449644,4289],[1790208050429,4187],[1790229650644,3952],[1790251259667,3956],[1790272851982,4049],[1790294448813,4156],[1790316050319,3992],[1790337657984,3793],[1790359250435,3598],[1790380847520,3376],[1790402453962,3391],[1790424064323,3435],[1790445666666,3404],[1790467269181,3508],[1790488854277,3597],[1790510463987,3702],[1790532077695,3633],[1790553659068,3469],[1790575253884,3625],[1790596865149,3791],[1790618468022,3937],[1790640062074,4141],[1790661657487,4155],[1790683255847,4115],[1790704858086,4047],[1790726452103,4016],[1790748057066,4322],[1790769664490,4380],[1790791258171,4617],[1790812853389,4830],[1790834465290,4873],[1790856055170,5114],[1790877655094,4875],[1790899248980,4637],[1790920853667,4459],[1790942455079,4324],[1790964063289,4162],[1790985657168,3966],[1791007253597,3677],[1791028870283,3319],[1791050467313,3487],[1791072063484,3487],[1791093657300,3673],[1791115256802,3809],[1791180055323,3837],[1791201668472,3987],[1791223267512,4153],[1791244858597,4526],[1791266466794,4350],[1791288062344,4367],[1791309664995,4073],[1791331256791,3745],[1791352868795,3747],[1791374483823,3719],[1791396072182,4235],[1791417672110,4334],[1791439258799,4550],[1791460889341,4871],[1791482485545,4696],[1791504059406,4648],[1791525655409,4631],[1791547270947,4340],[1791568870285,4132],[1791590457018,4333],[1791612065901,4106],[1791633677760,3977],[1791655291638,4003],[1791676860128,3839],[1791698455704,4034],[1791720057940,4023],[1791741662382,4097],[1791763259489,4134],[1791784856653,4025],[1791806459838,4361],[1791828063168,4477],[1791849656721,4379],[1791871265452,4323],[1791892911677,4334],[1791914511333,4365],[1791936070050,4578],[1791957668007,4806],[1791979269848,4988],[1792000885352,5064],[1792022469859,5103],[1792044072151,5102],[1792065680628,5028],[1792087282016,5034],[1792108866239,4912],[1792130467950,4614],[1792152073796,4472],[1792173681193,4243],[1792195260132,4167],[1792216852303,4018],[1792238449716,3745],[1792260050932,3752],[1792281650640,3763],[1792303253793,4066],[1792324852960,4091],[1792346449482,4324],[1792368049380,4087],[1792389664948,4010],[1792411204674,4117],[1792432807176,3999],[1792454406736,4036],[1792476004901,3986],[1792497604716,3936],[1792519205070,3910],[1792540805178,4024],[1792562410566,4227],[1792584012227,4305],[1792605608919,4452],[1792627220727,4458],[1792648811086,4333],[1792670444264,4191],[1792692044076,4221],[1792713640545,4233],[1792735241409,3964],[1792756837531,4170],[1792778440001,4126],[1792800039919,4081],[1792821641738,3872],[1792843241692,3637],[1792864839629,3274],[1792886438832,3805],[1792908042664,3910],[1792929639695,3771],[1792951240610,3998],[1792972839416,3509],[1792994440795,3612],[1793016037825,3691],[1793037639515,3807],[1793059243286,3750],[1793080837607,3697],[1793102419828,3910],[1793124019928,4134],[1793145620213,4263],[1793167219818,4307],[1793188831487,4405],[1793210426007,4104],[1793232026857,4036],[1793253614944,4033],[1793275219011,3752],[1793296812038,3914],[1793318415497,4205],[1793340010433,4138],[1793361614338,4664],[1793383220450,4883],[1793404820468,4871],[1793426420392,4565],[1793448020388,4151],[1793469620380,3806],[1793491220386,3689],[1793512820393,3766],[1793534420458,3798],[1793556020374,3626],[1793577620396,3595],[1793599220386,3824],[1793620820416,3997]],"range":{"min":2986,"max":5114,"n":497},"meta":{"pages":4,"perHour":167,"truncated":false,"oldestScanned":"2026-11-01T11:59:08.000Z"},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"ai-providers-degraded":{"id":"ai-providers-degraded","kind":"metric","value":0,"at":"2026-11-02T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":0,"series":[[1788089467023,0],[1788090355092,0],[1788091262228,0],[1788092156700,0],[1788093058284,0],[1788093953587,0],[1788094864115,0],[1788095754181,0],[1788096656579,0],[1788097553120,0],[1788098464609,0],[1788099355728,0],[1788100254712,0],[1788101153374,0],[1788102058291,0],[1788102952102,0],[1788103859970,0],[1788104752222,0],[1788105665926,0],[1788106562019,0],[1788107469669,0],[1788108357088,0],[1788109279994,0],[1788110153894,0],[1788111071998,0],[1788111955502,0],[1788112889940,0],[1788113752313,0],[1788114658479,0],[1788115550821,0],[1788116462182,0],[1788117353268,0],[1788118257682,0],[1788119153676,0],[1788120074831,0],[1788134409415,0],[1788156014839,0],[1788177613957,0],[1788199209372,1],[1788220806954,1],[1788242410153,1],[1788264010278,1],[1788285612270,2],[1788307209496,1],[1788328809450,0],[1788350411057,0],[1788372009052,0],[1788393607428,0],[1788415209261,0],[1788436815625,0],[1788458444157,0],[1788480037910,0],[1788501636991,0],[1788523244684,0],[1788544843647,0],[1788566434425,0],[1788588033108,0],[1788609656159,0],[1788631256648,0],[1788652839601,0],[1788674431834,0],[1788696070905,0],[1788717652779,0],[1788739246165,0],[1788760854804,0],[1788782450891,0],[1788804047752,0],[1788825642995,0],[1788847245826,0],[1788868845026,0],[1788890446191,1],[1788912043025,0],[1788933645048,0],[1788955245328,0],[1788976846305,0],[1788998468043,0],[1789020072862,1],[1789041679491,1],[1789063277603,1],[1789084869264,1],[1789106464952,1],[1789128049160,1],[1789149640084,2],[1789171250977,2],[1789192862242,1],[1789214461980,1],[1789236066897,1],[1789257660361,1],[1789279260985,1],[1789300862113,1],[1789322477866,1],[1789344059160,1],[1789365657586,1],[1789387268572,1],[1789408859666,1],[1789430457564,0],[1789452058776,0],[1789473656099,0],[1789495265197,0],[1789516858252,1],[1789538408071,0],[1789560015601,0],[1789581620698,0],[1789603205243,0],[1789624808250,0],[1789646417999,0],[1789668016374,0],[1789689607653,0],[1789711206239,0],[1789732812513,0],[1789754426266,0],[1789776026338,0],[1789797626331,0],[1789819226335,0],[1789840826557,0],[1789862426530,0],[1789884026434,0],[1789905626335,0],[1789927226258,0],[1789948847034,0],[1789970446807,0],[1789992047995,0],[1790013647476,0],[1790035246516,0],[1790056847212,0],[1790078449534,0],[1790100048494,0],[1790121647034,1],[1790143248633,1],[1790164851263,1],[1790186449644,1],[1790208050429,1],[1790229650644,1],[1790251259667,1],[1790272851982,1],[1790294448813,1],[1790316050319,1],[1790337657984,1],[1790359250435,1],[1790380847520,0],[1790402453962,0],[1790424064323,0],[1790445666666,0],[1790467269181,0],[1790488854277,0],[1790510463987,0],[1790532077695,0],[1790553659068,0],[1790575253884,0],[1790596865149,0],[1790618468022,0],[1790640062074,0],[1790661657487,0],[1790683255847,0],[1790704858086,1],[1790726452103,0],[1790748057066,1],[1790769664490,0],[1790791258171,1],[1790812853389,1],[1790834465290,1],[1790856055170,1],[1790877655094,2],[1790899248980,0],[1790920853667,0],[1790942455079,0],[1790964063289,0],[1790985657168,0],[1791007253597,0],[1791028870283,0],[1791050467313,0],[1791072063484,0],[1791093657300,0],[1791115256802,0],[1791180055323,0],[1791201668472,1],[1791223267512,1],[1791244858597,1],[1791266466794,1],[1791288062344,0],[1791309664995,1],[1791331256791,0],[1791352868795,1],[1791374483823,1],[1791396072182,2],[1791417672110,1],[1791439258799,1],[1791460889341,1],[1791482485545,1],[1791504059406,1],[1791525655409,1],[1791547270947,1],[1791568870285,2],[1791590457018,2],[1791612065901,2],[1791633677760,2],[1791655291638,2],[1791676860128,2],[1791698455704,2],[1791720057940,2],[1791741662382,2],[1791763259489,2],[1791784856653,2],[1791806459838,2],[1791828063168,1],[1791849656721,1],[1791871265452,1],[1791892911677,2],[1791914511333,0],[1791936070050,0],[1791957668007,0],[1791979269848,0],[1792000885352,1],[1792022469859,1],[1792044072151,1],[1792065680628,1],[1792087282016,1],[1792108866239,1],[1792130467950,1],[1792152073796,0],[1792173681193,0],[1792195260132,0],[1792216852303,0],[1792238449716,0],[1792260050932,0],[1792281650640,0],[1792303253793,0],[1792324852960,0],[1792346449482,0],[1792368049380,0],[1792389664948,0],[1792411204674,0],[1792432807176,0],[1792454406736,0],[1792476004901,0],[1792497604716,0],[1792519205070,0],[1792540805178,0],[1792562410566,0],[1792584012227,0],[1792605608919,0],[1792627220727,0],[1792648811086,2],[1792670444264,0],[1792692044076,0],[1792713640545,1],[1792735241409,0],[1792756837531,0],[1792778440001,0],[1792800039919,1],[1792821641738,0],[1792843241692,0],[1792864839629,0],[1792886438832,0],[1792908042664,0],[1792929639695,0],[1792951240610,0],[1792972839416,0],[1792994440795,0],[1793016037825,0],[1793037639515,0],[1793059243286,0],[1793080837607,0],[1793102419828,0],[1793124019928,0],[1793145620213,0],[1793167219818,0],[1793188831487,0],[1793210426007,1],[1793232026857,0],[1793253614944,0],[1793275219011,0],[1793296812038,0],[1793318415497,0],[1793340010433,0],[1793361614338,0],[1793383220450,1],[1793404820468,0],[1793426420392,0],[1793448020388,0],[1793469620380,0],[1793491220386,0],[1793512820393,0],[1793534420458,0],[1793556020374,0],[1793577620396,0],[1793599220386,0],[1793620820416,0]],"range":{"min":0,"max":2,"n":288},"meta":{"checked":3,"Anthropic":"operational","Hugging Face":"operational","OpenAI":"operational"},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"good"},"openrouter-models":{"id":"openrouter-models","kind":"metric","value":452,"at":"2026-11-02T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":0,"series":[[1788415209261,424],[1788436815625,424],[1788458444157,425],[1788480037910,426],[1788501636991,427],[1788523244684,427],[1788544843647,426],[1788566434425,431],[1788588033108,431],[1788609656159,431],[1788631256648,431],[1788652839601,431],[1788674431834,431],[1788696070905,431],[1788717652779,430],[1788739246165,430],[1788760854804,430],[1788782450891,430],[1788804047752,428],[1788825642995,428],[1788847245826,428],[1788868845026,428],[1788890446191,429],[1788912043025,431],[1788933645048,431],[1788955245328,431],[1788976846305,430],[1788998468043,430],[1789020072862,435],[1789041679491,436],[1789063277603,437],[1789084869264,437],[1789106464952,439],[1789128049160,439],[1789149640084,443],[1789171250977,443],[1789192862242,445],[1789214461980,445],[1789236066897,445],[1789257660361,445],[1789279260985,445],[1789300862113,445],[1789322477866,445],[1789344059160,445],[1789365657586,445],[1789387268572,445],[1789408859666,447],[1789430457564,445],[1789452058776,445],[1789473656099,445],[1789495265197,446],[1789516858252,443],[1789538408071,443],[1789560015601,443],[1789581620698,444],[1789603205243,444],[1789624808250,444],[1789646417999,444],[1789668016374,444],[1789689607653,445],[1789711206239,445],[1789732812513,445],[1789754426266,445],[1789776026338,446],[1789797626331,447],[1789819226335,447],[1789840826557,447],[1789862426530,447],[1789884026434,446],[1789905626335,446],[1789927226258,446],[1789948847034,446],[1789970446807,446],[1789992047995,446],[1790013647476,440],[1790035246516,443],[1790056847212,445],[1790078449534,444],[1790100048494,444],[1790121647034,454],[1790143248633,454],[1790164851263,455],[1790186449644,456],[1790208050429,459],[1790229650644,458],[1790251259667,458],[1790272851982,458],[1790294448813,460],[1790316050319,460],[1790337657984,460],[1790359250435,459],[1790380847520,459],[1790402453962,458],[1790424064323,458],[1790445666666,458],[1790467269181,458],[1790488854277,458],[1790510463987,458],[1790532077695,458],[1790553659068,458],[1790575253884,458],[1790596865149,458],[1790618468022,458],[1790640062074,460],[1790661657487,460],[1790683255847,460],[1790704858086,464],[1790726452103,464],[1790748057066,464],[1790769664490,464],[1790791258171,464],[1790812853389,464],[1790834465290,462],[1790856055170,462],[1790877655094,464],[1790899248980,464],[1790920853667,464],[1790942455079,464],[1790964063289,465],[1790985657168,466],[1791007253597,466],[1791028870283,466],[1791050467313,466],[1791072063484,466],[1791093657300,466],[1791115256802,466],[1791180055323,466],[1791201668472,466],[1791223267512,464],[1791244858597,464],[1791266466794,464],[1791288062344,464],[1791309664995,466],[1791331256791,466],[1791352868795,465],[1791374483823,465],[1791396072182,465],[1791417672110,467],[1791439258799,467],[1791460889341,467],[1791482485545,467],[1791504059406,469],[1791525655409,469],[1791547270947,469],[1791568870285,458],[1791590457018,458],[1791612065901,458],[1791633677760,458],[1791655291638,458],[1791676860128,458],[1791698455704,458],[1791720057940,458],[1791741662382,458],[1791763259489,458],[1791784856653,458],[1791806459838,458],[1791828063168,459],[1791849656721,459],[1791871265452,459],[1791892911677,459],[1791914511333,463],[1791936070050,463],[1791957668007,462],[1791979269848,462],[1792000885352,462],[1792022469859,462],[1792044072151,462],[1792065680628,462],[1792087282016,463],[1792108866239,465],[1792130467950,465],[1792152073796,465],[1792173681193,466],[1792195260132,467],[1792216852303,469],[1792238449716,470],[1792260050932,470],[1792281650640,471],[1792303253793,471],[1792324852960,471],[1792346449482,471],[1792368049380,471],[1792389664948,471],[1792411204674,469],[1792432807176,470],[1792454406736,470],[1792476004901,470],[1792497604716,470],[1792519205070,468],[1792540805178,468],[1792562410566,468],[1792584012227,468],[1792605608919,468],[1792627220727,468],[1792648811086,468],[1792670444264,468],[1792692044076,468],[1792713640545,468],[1792735241409,468],[1792756837531,468],[1792778440001,468],[1792800039919,469],[1792821641738,469],[1792843241692,469],[1792864839629,466],[1792886438832,467],[1792908042664,467],[1792929639695,467],[1792951240610,467],[1792972839416,467],[1792994440795,467],[1793016037825,467],[1793037639515,466],[1793059243286,462],[1793080837607,464],[1793102419828,463],[1793124019928,463],[1793145620213,464],[1793167219818,464],[1793188831487,464],[1793210426007,456],[1793232026857,457],[1793253614944,457],[1793275219011,457],[1793296812038,456],[1793318415497,456],[1793340010433,456],[1793361614338,456],[1793383220450,456],[1793404820468,456],[1793426420392,456],[1793448020388,456],[1793469620380,452],[1793491220386,452],[1793512820393,452],[1793534420458,452],[1793556020374,452],[1793577620396,452],[1793599220386,452],[1793620820416,452]],"range":{"min":424,"max":471,"n":240},"meta":{"free":17,"longContext":412,"multimodal":315,"newest":"particle-ai/particle-1 (2026-10-28)"},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"hf-lab-releases":{"id":"hf-lab-releases","kind":"events","items":[{"id":"hf:nvidia/DeepSeek-V4.1-Flash-1017-NVFP4","at":"2026-10-30T17:37:02.000Z","title":"nvidia/DeepSeek-V4.1-Flash-1017-NVFP4","url":"https://huggingface.co/nvidia/DeepSeek-V4.1-Flash-1017-NVFP4","severity":"info","meta":{"likes":124,"downloads":1839,"task":"image-text-to-text"}},{"id":"hf:microsoft/Mage-VL-Cowork","at":"2026-10-30T12:13:24.000Z","title":"microsoft/Mage-VL-Cowork","url":"https://huggingface.co/microsoft/Mage-VL-Cowork","severity":"info","meta":{"likes":129,"downloads":1152,"task":"image-text-to-text"}},{"id":"hf:nvidia/Metatron-v1","at":"2026-10-27T21:43:16.000Z","title":"nvidia/Metatron-v1","url":"https://huggingface.co/nvidia/Metatron-v1","severity":"info","meta":{"likes":9,"downloads":1327,"task":"reinforcement-learning"}},{"id":"hf:microsoft/CogACT-v2-RoboDojo","at":"2026-10-25T14:35:41.000Z","title":"microsoft/CogACT-v2-RoboDojo","url":"https://huggingface.co/microsoft/CogACT-v2-RoboDojo","severity":"info","meta":{"likes":2,"downloads":48,"task":null}},{"id":"hf:nvidia/MotionBricks","at":"2026-10-23T18:49:27.000Z","title":"nvidia/MotionBricks","url":"https://huggingface.co/nvidia/MotionBricks","severity":"info","meta":{"likes":118,"downloads":0,"task":"robotics"}},{"id":"hf:allenai/OlmoEarth-v1_2-FT-LFMC-Base","at":"2026-10-23T17:00:11.000Z","title":"allenai/OlmoEarth-v1_2-FT-LFMC-Base","url":"https://huggingface.co/allenai/OlmoEarth-v1_2-FT-LFMC-Base","severity":"info","meta":{"likes":0,"downloads":0,"task":null}},{"id":"hf:nvidia/InternVideo2-CLIP-anomaly-detection","at":"2026-10-22T18:23:57.000Z","title":"nvidia/InternVideo2-CLIP-anomaly-detection","url":"https://huggingface.co/nvidia/InternVideo2-CLIP-anomaly-detection","severity":"info","meta":{"likes":15,"downloads":114,"task":null}},{"id":"hf:nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43","at":"2026-10-19T21:19:46.000Z","title":"nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43","url":"https://huggingface.co/nvidia/cosmos3-nano-libero10-sdg-export-S5_2_s43","severity":"info","meta":{"likes":0,"downloads":215,"task":"robotics"}},{"id":"hf:nvidia/Cosmos3-H-Embodied-Nano","at":"2026-10-19T12:45:34.000Z","title":"nvidia/Cosmos3-H-Embodied-Nano","url":"https://huggingface.co/nvidia/Cosmos3-H-Embodied-Nano","severity":"info","meta":{"likes":2,"downloads":131,"task":"robotics"}},{"id":"hf:nvidia/Cosmos3-H-Dreams","at":"2026-10-19T12:35:12.000Z","title":"nvidia/Cosmos3-H-Dreams","url":"https://huggingface.co/nvidia/Cosmos3-H-Dreams","severity":"info","meta":{"likes":8,"downloads":233,"task":"image-to-video"}},{"id":"hf:deepseek-ai/DeepSeek-V4.1-Flash-1017","at":"2026-10-17T02:40:38.000Z","title":"deepseek-ai/DeepSeek-V4.1-Flash-1017","url":"https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017","severity":"info","meta":{"likes":4546,"downloads":177009,"task":"image-text-to-text"}},{"id":"hf:microsoft/Sentiment-Analysis-7B","at":"2026-10-17T00:51:18.000Z","title":"microsoft/Sentiment-Analysis-7B","url":"https://huggingface.co/microsoft/Sentiment-Analysis-7B","severity":"info","meta":{"likes":32,"downloads":2176,"task":"text-generation"}},{"id":"hf:nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-NVFP4","at":"2026-10-16T18:30:41.000Z","title":"nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-NVFP4","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-NVFP4","severity":"info","meta":{"likes":8,"downloads":890,"task":"text-generation"}},{"id":"hf:nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-MXFP8","at":"2026-10-16T18:26:53.000Z","title":"nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-MXFP8","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-MXFP8","severity":"info","meta":{"likes":5,"downloads":566,"task":"text-generation"}},{"id":"hf:nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16","at":"2026-10-16T18:25:29.000Z","title":"nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16","severity":"info","meta":{"likes":139,"downloads":2480,"task":"text-generation"}},{"id":"hf:microsoft/scFM-dataselection","at":"2026-10-16T13:54:04.000Z","title":"microsoft/scFM-dataselection","url":"https://huggingface.co/microsoft/scFM-dataselection","severity":"info","meta":{"likes":3,"downloads":0,"task":null}},{"id":"hf:nvidia/Muse-Spark-Open-816B-A42B-DFlash2","at":"2026-10-16T04:40:26.000Z","title":"nvidia/Muse-Spark-Open-816B-A42B-DFlash2","url":"https://huggingface.co/nvidia/Muse-Spark-Open-816B-A42B-DFlash2","severity":"info","meta":{"likes":2,"downloads":0,"task":"image-text-to-text"}},{"id":"hf:mistralai/Mistral-Large-4-1T-A52B-NVFP4","at":"2026-10-15T19:09:41.000Z","title":"mistralai/Mistral-Large-4-1T-A52B-NVFP4","url":"https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B-NVFP4","severity":"info","meta":{"likes":65,"downloads":717,"task":null}},{"id":"hf:nvidia/Nemotron-3.5-Rerank-8B-BF16","at":"2026-10-15T08:42:42.000Z","title":"nvidia/Nemotron-3.5-Rerank-8B-BF16","url":"https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16","severity":"info","meta":{"likes":14,"downloads":662,"task":"text-ranking"}},{"id":"hf:microsoft/UserRepGen-4B","at":"2026-10-14T20:30:00.000Z","title":"microsoft/UserRepGen-4B","url":"https://huggingface.co/microsoft/UserRepGen-4B","severity":"info","meta":{"likes":25,"downloads":1864,"task":"text-generation"}},{"id":"hf:mistralai/Timestral-123M","at":"2026-10-14T17:51:04.000Z","title":"mistralai/Timestral-123M","url":"https://huggingface.co/mistralai/Timestral-123M","severity":"info","meta":{"likes":46,"downloads":6429,"task":"time-series-forecasting"}},{"id":"hf:mistralai/Timestral-28M","at":"2026-10-14T17:50:53.000Z","title":"mistralai/Timestral-28M","url":"https://huggingface.co/mistralai/Timestral-28M","severity":"info","meta":{"likes":47,"downloads":12067,"task":"time-series-forecasting"}},{"id":"hf:mistralai/Timestral-5M","at":"2026-10-14T13:41:13.000Z","title":"mistralai/Timestral-5M","url":"https://huggingface.co/mistralai/Timestral-5M","severity":"info","meta":{"likes":76,"downloads":7597,"task":"time-series-forecasting"}},{"id":"hf:nvidia/GR00T-N1.7-AppleToPlate-cosine40k-checkpoint-15000","at":"2026-10-13T20:23:12.000Z","title":"nvidia/GR00T-N1.7-AppleToPlate-cosine40k-checkpoint-15000","url":"https://huggingface.co/nvidia/GR00T-N1.7-AppleToPlate-cosine40k-checkpoint-15000","severity":"info","meta":{"likes":0,"downloads":217,"task":null}},{"id":"hf:nvidia/ARDY-SOMA-RP-30FPS-KimodoRep-Horizon60","at":"2026-10-13T19:17:25.000Z","title":"nvidia/ARDY-SOMA-RP-30FPS-KimodoRep-Horizon60","url":"https://huggingface.co/nvidia/ARDY-SOMA-RP-30FPS-KimodoRep-Horizon60","severity":"info","meta":{"likes":2,"downloads":5,"task":null}},{"id":"hf:nvidia/Kimodo-SOMA-RP-ArdyRep-v1.2","at":"2026-10-13T18:04:43.000Z","title":"nvidia/Kimodo-SOMA-RP-ArdyRep-v1.2","url":"https://huggingface.co/nvidia/Kimodo-SOMA-RP-ArdyRep-v1.2","severity":"info","meta":{"likes":0,"downloads":2,"task":null}},{"id":"hf:allenai/HiRO-ACEv2","at":"2026-10-12T16:43:07.000Z","title":"allenai/HiRO-ACEv2","url":"https://huggingface.co/allenai/HiRO-ACEv2","severity":"info","meta":{"likes":6,"downloads":0,"task":null}},{"id":"hf:nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4","at":"2026-10-12T15:32:30.000Z","title":"nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4","severity":"info","meta":{"likes":37,"downloads":81,"task":"image-text-to-text"}},{"id":"hf:nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16","at":"2026-10-12T15:32:06.000Z","title":"nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16","severity":"info","meta":{"likes":29,"downloads":142,"task":"image-text-to-text"}},{"id":"hf:nvidia/agile_one_s_pick_ssd_n2_1120","at":"2026-10-10T00:20:17.000Z","title":"nvidia/agile_one_s_pick_ssd_n2_1120","url":"https://huggingface.co/nvidia/agile_one_s_pick_ssd_n2_1120","severity":"info","meta":{"likes":1,"downloads":0,"task":null}},{"id":"hf:nvidia/agile_one_s_place_ssd_n2_1260","at":"2026-10-10T00:18:56.000Z","title":"nvidia/agile_one_s_place_ssd_n2_1260","url":"https://huggingface.co/nvidia/agile_one_s_place_ssd_n2_1260","severity":"info","meta":{"likes":0,"downloads":0,"task":null}},{"id":"hf:nvidia/agile_one_s_pickplace_ssd_n2_18200","at":"2026-10-10T00:17:13.000Z","title":"nvidia/agile_one_s_pickplace_ssd_n2_18200","url":"https://huggingface.co/nvidia/agile_one_s_pickplace_ssd_n2_18200","severity":"info","meta":{"likes":0,"downloads":0,"task":"robotics"}},{"id":"hf:nvidia/Qwen-Image-NVFP4","at":"2026-10-09T23:37:43.000Z","title":"nvidia/Qwen-Image-NVFP4","url":"https://huggingface.co/nvidia/Qwen-Image-NVFP4","severity":"info","meta":{"likes":5,"downloads":36,"task":"text-to-image"}},{"id":"hf:nvidia/agile_one_s_place_ssd_n17_24050","at":"2026-10-09T08:29:13.000Z","title":"nvidia/agile_one_s_place_ssd_n17_24050","url":"https://huggingface.co/nvidia/agile_one_s_place_ssd_n17_24050","severity":"info","meta":{"likes":1,"downloads":0,"task":"robotics"}},{"id":"hf:nvidia/agile_one_s_walk_n2_1680","at":"2026-10-09T08:28:59.000Z","title":"nvidia/agile_one_s_walk_n2_1680","url":"https://huggingface.co/nvidia/agile_one_s_walk_n2_1680","severity":"info","meta":{"likes":0,"downloads":0,"task":"robotics"}},{"id":"hf:nvidia/agile_one_s_pick_ssd_n17_58000","at":"2026-10-09T08:28:36.000Z","title":"nvidia/agile_one_s_pick_ssd_n17_58000","url":"https://huggingface.co/nvidia/agile_one_s_pick_ssd_n17_58000","severity":"info","meta":{"likes":0,"downloads":0,"task":"robotics"}},{"id":"hf:Qwen/Qwen-Image-2.1-Turbo","at":"2026-10-09T04:50:01.000Z","title":"Qwen/Qwen-Image-2.1-Turbo","url":"https://huggingface.co/Qwen/Qwen-Image-2.1-Turbo","severity":"info","meta":{"likes":1093,"downloads":41733,"task":"text-to-image"}},{"id":"hf:mistralai/LIDstral-Arabic","at":"2026-10-08T11:37:05.000Z","title":"mistralai/LIDstral-Arabic","url":"https://huggingface.co/mistralai/LIDstral-Arabic","severity":"info","meta":{"likes":20,"downloads":85,"task":"text-classification"}},{"id":"hf:mistralai/Voxtral-Mini-4B-Realtime-Arabic","at":"2026-10-08T11:36:06.000Z","title":"mistralai/Voxtral-Mini-4B-Realtime-Arabic","url":"https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-Arabic","severity":"info","meta":{"likes":33,"downloads":829,"task":"automatic-speech-recognition"}},{"id":"hf:google/DiarizationLM-Gemma-4-E4B-v1","at":"2026-10-04T13:06:04.000Z","title":"google/DiarizationLM-Gemma-4-E4B-v1","url":"https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1","severity":"info","meta":{"likes":46,"downloads":1869,"task":"image-text-to-text"}},{"id":"hf:nvidia/PixelUMM","at":"2026-10-01T21:40:34.000Z","title":"nvidia/PixelUMM","url":"https://huggingface.co/nvidia/PixelUMM","severity":"info","meta":{"likes":86,"downloads":0,"task":"any-to-any"}},{"id":"hf:nvidia/PixelDiT2-ImageNet","at":"2026-10-01T21:26:49.000Z","title":"nvidia/PixelDiT2-ImageNet","url":"https://huggingface.co/nvidia/PixelDiT2-ImageNet","severity":"info","meta":{"likes":11,"downloads":0,"task":null}},{"id":"hf:microsoft/AesCode-32B","at":"2026-09-29T13:05:36.000Z","title":"microsoft/AesCode-32B","url":"https://huggingface.co/microsoft/AesCode-32B","severity":"info","meta":{"likes":54,"downloads":1031,"task":"image-text-to-text"}},{"id":"hf:microsoft/AesCode-8B","at":"2026-09-29T13:04:44.000Z","title":"microsoft/AesCode-8B","url":"https://huggingface.co/microsoft/AesCode-8B","severity":"info","meta":{"likes":64,"downloads":587,"task":"image-text-to-text"}},{"id":"hf:microsoft/rho-roboeval","at":"2026-09-21T19:13:53.000Z","title":"microsoft/rho-roboeval","url":"https://huggingface.co/microsoft/rho-roboeval","severity":"info","meta":{"likes":4,"downloads":0,"task":null}},{"id":"hf:Qwen/Qwen-Image-2.1-PE-I2I","at":"2026-09-20T08:46:47.000Z","title":"Qwen/Qwen-Image-2.1-PE-I2I","url":"https://huggingface.co/Qwen/Qwen-Image-2.1-PE-I2I","severity":"info","meta":{"likes":72,"downloads":13789,"task":null}},{"id":"hf:Qwen/Qwen-Image-2.1-PE-T2I","at":"2026-09-20T08:45:29.000Z","title":"Qwen/Qwen-Image-2.1-PE-T2I","url":"https://huggingface.co/Qwen/Qwen-Image-2.1-PE-T2I","severity":"info","meta":{"likes":77,"downloads":5966,"task":"text-to-image"}},{"id":"hf:microsoft/FrogNano-4B-2609","at":"2026-09-17T00:13:57.000Z","title":"microsoft/FrogNano-4B-2609","url":"https://huggingface.co/microsoft/FrogNano-4B-2609","severity":"info","meta":{"likes":142,"downloads":1237,"task":null}},{"id":"hf:nvidia/DeepSeek-V4.1-Flash-NVFP4","at":"2026-09-16T20:37:42.000Z","title":"nvidia/DeepSeek-V4.1-Flash-NVFP4","url":"https://huggingface.co/nvidia/DeepSeek-V4.1-Flash-NVFP4","severity":"info","meta":{"likes":101,"downloads":24457,"task":"image-text-to-text"}},{"id":"hf:nvidia/RT-DETR-Hand-Detector-v1","at":"2026-09-15T16:58:11.000Z","title":"nvidia/RT-DETR-Hand-Detector-v1","url":"https://huggingface.co/nvidia/RT-DETR-Hand-Detector-v1","severity":"info","meta":{"likes":3,"downloads":0,"task":null}},{"id":"hf:nvidia/c-foundationstereo-s","at":"2026-09-15T01:25:18.000Z","title":"nvidia/c-foundationstereo-s","url":"https://huggingface.co/nvidia/c-foundationstereo-s","severity":"info","meta":{"likes":8,"downloads":478,"task":"depth-estimation"}},{"id":"hf:nvidia/foundationpose","at":"2026-09-15T01:25:12.000Z","title":"nvidia/foundationpose","url":"https://huggingface.co/nvidia/foundationpose","severity":"info","meta":{"likes":9,"downloads":194,"task":"robotics"}},{"id":"hf:google/embeddinggemma-2","at":"2026-09-14T14:53:42.000Z","title":"google/embeddinggemma-2","url":"https://huggingface.co/google/embeddinggemma-2","severity":"info","meta":{"likes":3072,"downloads":407228,"task":"feature-extraction"}},{"id":"hf:Qwen/Qwen-Image-2.1","at":"2026-09-14T03:47:26.000Z","title":"Qwen/Qwen-Image-2.1","url":"https://huggingface.co/Qwen/Qwen-Image-2.1","severity":"info","meta":{"likes":3137,"downloads":122311,"task":"text-to-image"}},{"id":"hf:allenai/AstaBrief_8B_SFT","at":"2026-09-10T23:36:30.000Z","title":"allenai/AstaBrief_8B_SFT","url":"https://huggingface.co/allenai/AstaBrief_8B_SFT","severity":"info","meta":{"likes":2,"downloads":1132,"task":"text-generation"}},{"id":"hf:deepseek-ai/DeepSeek-V4.1-Flash","at":"2026-09-10T02:17:58.000Z","title":"deepseek-ai/DeepSeek-V4.1-Flash","url":"https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash","severity":"info","meta":{"likes":4841,"downloads":2144269,"task":"image-text-to-text"}},{"id":"hf:nvidia/DeepSeek-V4-Pro-0813-nvfp4-DSpark","at":"2026-09-09T17:47:04.000Z","title":"nvidia/DeepSeek-V4-Pro-0813-nvfp4-DSpark","url":"https://huggingface.co/nvidia/DeepSeek-V4-Pro-0813-nvfp4-DSpark","severity":"info","meta":{"likes":4,"downloads":1268,"task":"text-generation"}},{"id":"hf:nvidia/Qwen3.8-27B-NVFP4","at":"2026-09-04T21:43:04.000Z","title":"nvidia/Qwen3.8-27B-NVFP4","url":"https://huggingface.co/nvidia/Qwen3.8-27B-NVFP4","severity":"info","meta":{"likes":94,"downloads":57632,"task":"text-generation"}},{"id":"hf:allenai/OlmoEarth-v1_3-Base","at":"2026-09-04T15:00:16.000Z","title":"allenai/OlmoEarth-v1_3-Base","url":"https://huggingface.co/allenai/OlmoEarth-v1_3-Base","severity":"info","meta":{"likes":18,"downloads":497,"task":"image-feature-extraction"}},{"id":"hf:nvidia/GLM-5.3-Flash-NVFP4","at":"2026-09-02T20:37:17.000Z","title":"nvidia/GLM-5.3-Flash-NVFP4","url":"https://huggingface.co/nvidia/GLM-5.3-Flash-NVFP4","severity":"info","meta":{"likes":82,"downloads":10644,"task":"image-text-to-text"}},{"id":"hf:nvidia/Nemotron-3-Labs-Ultra-Math-RL","at":"2026-09-02T19:11:33.000Z","title":"nvidia/Nemotron-3-Labs-Ultra-Math-RL","url":"https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-RL","severity":"info","meta":{"likes":1,"downloads":0,"task":"text-generation"}},{"id":"hf:nvidia/Nemotron-3-Labs-Ultra-Math-SFT","at":"2026-09-02T19:11:32.000Z","title":"nvidia/Nemotron-3-Labs-Ultra-Math-SFT","url":"https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT","severity":"info","meta":{"likes":0,"downloads":0,"task":"text-generation"}},{"id":"hf:microsoft/VibeVoice-ASR-Streaming-1.5B","at":"2026-09-02T15:51:38.000Z","title":"microsoft/VibeVoice-ASR-Streaming-1.5B","url":"https://huggingface.co/microsoft/VibeVoice-ASR-Streaming-1.5B","severity":"info","meta":{"likes":59,"downloads":6772,"task":"automatic-speech-recognition"}},{"id":"hf:microsoft/VibeVoice-ASR-Streaming-7B","at":"2026-09-02T15:46:22.000Z","title":"microsoft/VibeVoice-ASR-Streaming-7B","url":"https://huggingface.co/microsoft/VibeVoice-ASR-Streaming-7B","severity":"info","meta":{"likes":251,"downloads":7048,"task":"automatic-speech-recognition"}},{"id":"hf:nvidia/Qwen3.8-Flash-Next-NVFP4","at":"2026-09-02T04:03:35.000Z","title":"nvidia/Qwen3.8-Flash-Next-NVFP4","url":"https://huggingface.co/nvidia/Qwen3.8-Flash-Next-NVFP4","severity":"info","meta":{"likes":149,"downloads":26302,"task":"image-text-to-text"}},{"id":"hf:allenai/ACE2S-SHiELD-plus-supplemental-checkpoints","at":"2026-09-01T17:54:43.000Z","title":"allenai/ACE2S-SHiELD-plus-supplemental-checkpoints","url":"https://huggingface.co/allenai/ACE2S-SHiELD-plus-supplemental-checkpoints","severity":"info","meta":{"likes":0,"downloads":47,"task":null}},{"id":"hf:google/gnm-v3","at":"2026-09-01T17:03:30.000Z","title":"google/gnm-v3","url":"https://huggingface.co/google/gnm-v3","severity":"info","meta":{"likes":30,"downloads":0,"task":null}},{"id":"hf:deepseek-ai/DeepSeek-V4-Flash-Vision-Exp","at":"2026-08-31T06:16:18.000Z","title":"deepseek-ai/DeepSeek-V4-Flash-Vision-Exp","url":"https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp","severity":"info","meta":{"likes":962,"downloads":202229,"task":"image-text-to-text"}},{"id":"hf:nvidia/Muse-Glimmer-30B-NVFP4","at":"2026-08-27T20:37:10.000Z","title":"nvidia/Muse-Glimmer-30B-NVFP4","url":"https://huggingface.co/nvidia/Muse-Glimmer-30B-NVFP4","severity":"info","meta":{"likes":6,"downloads":13431,"task":"image-text-to-text"}},{"id":"hf:nvidia/DeepSeek-V4-Pro-0813-NVFP4","at":"2026-08-27T10:39:25.000Z","title":"nvidia/DeepSeek-V4-Pro-0813-NVFP4","url":"https://huggingface.co/nvidia/DeepSeek-V4-Pro-0813-NVFP4","severity":"info","meta":{"likes":9,"downloads":1354,"task":"text-generation"}},{"id":"hf:Qwen/Qwen-Drive-1.0-4B","at":"2026-08-27T08:14:27.000Z","title":"Qwen/Qwen-Drive-1.0-4B","url":"https://huggingface.co/Qwen/Qwen-Drive-1.0-4B","severity":"info","meta":{"likes":224,"downloads":5714,"task":"image-text-to-text"}},{"id":"hf:microsoft/SQuadGen","at":"2026-08-27T04:53:22.000Z","title":"microsoft/SQuadGen","url":"https://huggingface.co/microsoft/SQuadGen","severity":"info","meta":{"likes":4,"downloads":0,"task":null}},{"id":"hf:allenai/Llama-3-Blama-8B","at":"2026-08-26T13:40:05.000Z","title":"allenai/Llama-3-Blama-8B","url":"https://huggingface.co/allenai/Llama-3-Blama-8B","severity":"info","meta":{"likes":1,"downloads":125,"task":"text-generation"}},{"id":"hf:nvidia/Qwen3.8-2.4T-A95B-NVFP4","at":"2026-08-25T18:55:42.000Z","title":"nvidia/Qwen3.8-2.4T-A95B-NVFP4","url":"https://huggingface.co/nvidia/Qwen3.8-2.4T-A95B-NVFP4","severity":"info","meta":{"likes":10,"downloads":903,"task":"text-generation"}},{"id":"hf:zai-org/GLM-5.3-Flash-BF16","at":"2026-08-25T06:45:05.000Z","title":"zai-org/GLM-5.3-Flash-BF16","url":"https://huggingface.co/zai-org/GLM-5.3-Flash-BF16","severity":"info","meta":{"likes":78,"downloads":123427,"task":"image-text-to-text"}},{"id":"hf:zai-org/GLM-5.3-BF16","at":"2026-08-25T06:43:55.000Z","title":"zai-org/GLM-5.3-BF16","url":"https://huggingface.co/zai-org/GLM-5.3-BF16","severity":"info","meta":{"likes":59,"downloads":37046,"task":"text-generation"}},{"id":"hf:zai-org/GLM-5.3-Flash","at":"2026-08-25T06:43:14.000Z","title":"zai-org/GLM-5.3-Flash","url":"https://huggingface.co/zai-org/GLM-5.3-Flash","severity":"info","meta":{"likes":3019,"downloads":6313299,"task":"image-text-to-text"}},{"id":"hf:nvidia/Nemotron-3-Diarization-preview","at":"2026-08-24T23:00:02.000Z","title":"nvidia/Nemotron-3-Diarization-preview","url":"https://huggingface.co/nvidia/Nemotron-3-Diarization-preview","severity":"info","meta":{"likes":29,"downloads":41,"task":"voice-activity-detection"}},{"id":"hf:google/timesfm-3.0-pytorch","at":"2026-08-24T22:05:51.000Z","title":"google/timesfm-3.0-pytorch","url":"https://huggingface.co/google/timesfm-3.0-pytorch","severity":"info","meta":{"likes":1005,"downloads":695131,"task":"time-series-forecasting"}},{"id":"hf:Qwen/Qwen3.8-Flash-Next-FP8","at":"2026-08-24T08:25:23.000Z","title":"Qwen/Qwen3.8-Flash-Next-FP8","url":"https://huggingface.co/Qwen/Qwen3.8-Flash-Next-FP8","severity":"info","meta":{"likes":215,"downloads":509206,"task":"image-text-to-text"}},{"id":"hf:Qwen/Qwen3.8-Flash-Next","at":"2026-08-24T08:24:59.000Z","title":"Qwen/Qwen3.8-Flash-Next","url":"https://huggingface.co/Qwen/Qwen3.8-Flash-Next","severity":"info","meta":{"likes":5474,"downloads":761112,"task":"image-text-to-text"}},{"id":"hf:nvidia/GR00TCRA","at":"2026-08-19T18:31:46.000Z","title":"nvidia/GR00TCRA","url":"https://huggingface.co/nvidia/GR00TCRA","severity":"info","meta":{"likes":0,"downloads":0,"task":null}},{"id":"hf:google/tipsv1-g14-lowres","at":"2026-08-19T16:41:21.000Z","title":"google/tipsv1-g14-lowres","url":"https://huggingface.co/google/tipsv1-g14-lowres","severity":"info","meta":{"likes":7,"downloads":301,"task":"zero-shot-image-classification"}},{"id":"hf:google/tipsv1-g14","at":"2026-08-19T16:40:35.000Z","title":"google/tipsv1-g14","url":"https://huggingface.co/google/tipsv1-g14","severity":"info","meta":{"likes":8,"downloads":327,"task":"zero-shot-image-classification"}},{"id":"hf:google/tipsv1-so400m14","at":"2026-08-19T15:02:28.000Z","title":"google/tipsv1-so400m14","url":"https://huggingface.co/google/tipsv1-so400m14","severity":"info","meta":{"likes":0,"downloads":128,"task":"zero-shot-image-classification"}},{"id":"hf:nvidia/NVIDIA-Nemotron-Labs-Teacher-Chat","at":"2026-08-14T17:09:11.000Z","title":"nvidia/NVIDIA-Nemotron-Labs-Teacher-Chat","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Teacher-Chat","severity":"info","meta":{"likes":2,"downloads":1406,"task":"text-generation"}},{"id":"hf:nvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Coding","at":"2026-08-14T17:08:58.000Z","title":"nvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Coding","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Coding","severity":"info","meta":{"likes":5,"downloads":2158,"task":"text-generation"}},{"id":"hf:nvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Following","at":"2026-08-14T17:08:45.000Z","title":"nvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Following","url":"https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Following","severity":"info","meta":{"likes":4,"downloads":1076,"task":"text-generation"}},{"id":"hf:Qwen/Qwen3.8-27B-FP8","at":"2026-08-13T08:01:58.000Z","title":"Qwen/Qwen3.8-27B-FP8","url":"https://huggingface.co/Qwen/Qwen3.8-27B-FP8","severity":"info","meta":{"likes":751,"downloads":5528743,"task":"image-text-to-text"}},{"id":"hf:deepseek-ai/DeepSeek-V4-Pro-0813","at":"2026-08-13T03:05:06.000Z","title":"deepseek-ai/DeepSeek-V4-Pro-0813","url":"https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813","severity":"info","meta":{"likes":897,"downloads":157814,"task":"text-generation"}},{"id":"hf:Qwen/Qwen3.8-2.4T-A95B","at":"2026-08-08T01:50:52.000Z","title":"Qwen/Qwen3.8-2.4T-A95B","url":"https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B","severity":"info","meta":{"likes":1166,"downloads":21340,"task":"text-generation"}},{"id":"hf:Qwen/Qwen3.8-2.4T-A95B-FP8","at":"2026-08-08T01:49:49.000Z","title":"Qwen/Qwen3.8-2.4T-A95B-FP8","url":"https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B-FP8","severity":"info","meta":{"likes":232,"downloads":21935,"task":"text-generation"}},{"id":"hf:allenai/SamudrACE-E3SMv3","at":"2026-08-04T20:48:53.000Z","title":"allenai/SamudrACE-E3SMv3","url":"https://huggingface.co/allenai/SamudrACE-E3SMv3","severity":"info","meta":{"likes":4,"downloads":45,"task":null}},{"id":"hf:deepseek-ai/DeepSeek-V4-Flash-0731","at":"2026-07-31T07:30:24.000Z","title":"deepseek-ai/DeepSeek-V4-Flash-0731","url":"https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731","severity":"info","meta":{"likes":3921,"downloads":4425802,"task":"text-generation"}},{"id":"hf:microsoft/Mage-ViT","at":"2026-07-26T04:22:45.000Z","title":"microsoft/Mage-ViT","url":"https://huggingface.co/microsoft/Mage-ViT","severity":"info","meta":{"likes":30,"downloads":1982,"task":"image-feature-extraction"}},{"id":"hf:microsoft/Mage-VL","at":"2026-07-25T08:29:09.000Z","title":"microsoft/Mage-VL","url":"https://huggingface.co/microsoft/Mage-VL","severity":"info","meta":{"likes":391,"downloads":117789,"task":"image-text-to-text"}},{"id":"hf:microsoft/VibeVoice-ASR-BitNet","at":"2026-07-24T06:03:05.000Z","title":"microsoft/VibeVoice-ASR-BitNet","url":"https://huggingface.co/microsoft/VibeVoice-ASR-BitNet","severity":"info","meta":{"likes":187,"downloads":18795,"task":"automatic-speech-recognition"}},{"id":"hf:mistralai/Shieldstral-1.0-3B","at":"2026-07-16T10:24:13.000Z","title":"mistralai/Shieldstral-1.0-3B","url":"https://huggingface.co/mistralai/Shieldstral-1.0-3B","severity":"info","meta":{"likes":299,"downloads":37699,"task":null}},{"id":"hf:mistralai/Leanstral-1.5-119B-A6B","at":"2026-07-01T16:43:19.000Z","title":"mistralai/Leanstral-1.5-119B-A6B","url":"https://huggingface.co/mistralai/Leanstral-1.5-119B-A6B","severity":"info","meta":{"likes":220,"downloads":357,"task":null}},{"id":"hf:google/tabfm-1.0.0-jax","at":"2026-06-29T23:04:41.000Z","title":"google/tabfm-1.0.0-jax","url":"https://huggingface.co/google/tabfm-1.0.0-jax","severity":"info","meta":{"likes":9,"downloads":4187,"task":"tabular-classification"}},{"id":"hf:google/tabfm-1.0.0-pytorch","at":"2026-06-29T23:04:41.000Z","title":"google/tabfm-1.0.0-pytorch","url":"https://huggingface.co/google/tabfm-1.0.0-pytorch","severity":"info","meta":{"likes":457,"downloads":42819,"task":"tabular-classification"}},{"id":"hf:deepseek-ai/eagle3_gemma4_12b_ttt7","at":"2026-06-28T12:37:17.000Z","title":"deepseek-ai/eagle3_gemma4_12b_ttt7","url":"https://huggingface.co/deepseek-ai/eagle3_gemma4_12b_ttt7","severity":"info","meta":{"likes":12,"downloads":362,"task":null}},{"id":"hf:allenai/OlmoEarth-v1_2-Base","at":"2026-06-25T08:47:25.000Z","title":"allenai/OlmoEarth-v1_2-Base","url":"https://huggingface.co/allenai/OlmoEarth-v1_2-Base","severity":"info","meta":{"likes":7,"downloads":16604,"task":"image-feature-extraction"}},{"id":"hf:allenai/OlmoEarth-v1_2-Small","at":"2026-06-25T08:44:23.000Z","title":"allenai/OlmoEarth-v1_2-Small","url":"https://huggingface.co/allenai/OlmoEarth-v1_2-Small","severity":"info","meta":{"likes":3,"downloads":996,"task":"image-feature-extraction"}},{"id":"hf:zai-org/GLM-5.2","at":"2026-06-16T07:39:20.000Z","title":"zai-org/GLM-5.2","url":"https://huggingface.co/zai-org/GLM-5.2","severity":"info","meta":{"likes":5057,"downloads":1903277,"task":"text-generation"}},{"id":"hf:zai-org/GLM-5.2-FP8","at":"2026-06-16T07:20:33.000Z","title":"zai-org/GLM-5.2-FP8","url":"https://huggingface.co/zai-org/GLM-5.2-FP8","severity":"info","meta":{"likes":260,"downloads":1736850,"task":"text-generation"}},{"id":"hf:moonshotai/Kimi-K3","at":"2026-06-13T06:42:57.000Z","title":"moonshotai/Kimi-K3","url":"https://huggingface.co/moonshotai/Kimi-K3","severity":"info","meta":{"likes":11913,"downloads":781702,"task":"image-text-to-text"}},{"id":"hf:moonshotai/Kimi-K2.7-Code","at":"2026-06-11T07:51:47.000Z","title":"moonshotai/Kimi-K2.7-Code","url":"https://huggingface.co/moonshotai/Kimi-K2.7-Code","severity":"info","meta":{"likes":1427,"downloads":79127,"task":"image-text-to-text"}},{"id":"hf:google/diffusiongemma-26B-A4B-it","at":"2026-06-09T12:40:12.000Z","title":"google/diffusiongemma-26B-A4B-it","url":"https://huggingface.co/google/diffusiongemma-26B-A4B-it","severity":"info","meta":{"likes":1185,"downloads":2040835,"task":"image-text-to-text"}},{"id":"hf:zai-org/SCAIL-2","at":"2026-06-09T07:18:27.000Z","title":"zai-org/SCAIL-2","url":"https://huggingface.co/zai-org/SCAIL-2","severity":"info","meta":{"likes":329,"downloads":4266,"task":"image-to-video"}},{"id":"hf:mistralai/Mistral-Medium-3.5-128B-EAGLE","at":"2026-04-27T13:35:34.000Z","title":"mistralai/Mistral-Medium-3.5-128B-EAGLE","url":"https://huggingface.co/mistralai/Mistral-Medium-3.5-128B-EAGLE","severity":"info","meta":{"likes":62,"downloads":192,"task":null}},{"id":"hf:openai/privacy-filter","at":"2026-04-17T21:38:35.000Z","title":"openai/privacy-filter","url":"https://huggingface.co/openai/privacy-filter","severity":"info","meta":{"likes":1823,"downloads":106261,"task":"token-classification"}},{"id":"hf:moonshotai/Kimi-K2.6","at":"2026-04-14T04:23:36.000Z","title":"moonshotai/Kimi-K2.6","url":"https://huggingface.co/moonshotai/Kimi-K2.6","severity":"info","meta":{"likes":1640,"downloads":246535,"task":"image-text-to-text"}},{"id":"hf:openai/circuit-sparsity","at":"2025-12-11T22:39:34.000Z","title":"openai/circuit-sparsity","url":"https://huggingface.co/openai/circuit-sparsity","severity":"info","meta":{"likes":221,"downloads":1728,"task":"text-generation"}},{"id":"hf:openai/gpt-oss-safeguard-20b","at":"2025-09-18T18:51:08.000Z","title":"openai/gpt-oss-safeguard-20b","url":"https://huggingface.co/openai/gpt-oss-safeguard-20b","severity":"info","meta":{"likes":286,"downloads":19208,"task":"text-generation"}},{"id":"hf:xai-org/grok-2","at":"2025-08-22T21:16:24.000Z","title":"xai-org/grok-2","url":"https://huggingface.co/xai-org/grok-2","severity":"info","meta":{"likes":1207,"downloads":7205,"task":null}},{"id":"hf:meta-llama/Llama-Prompt-Guard-2-86M","at":"2025-04-28T07:16:35.000Z","title":"meta-llama/Llama-Prompt-Guard-2-86M","url":"https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M","severity":"info","meta":{"likes":343,"downloads":103587,"task":"text-classification"}},{"id":"hf:meta-llama/Llama-Prompt-Guard-2-22M","at":"2025-04-28T07:15:58.000Z","title":"meta-llama/Llama-Prompt-Guard-2-22M","url":"https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-22M","severity":"info","meta":{"likes":82,"downloads":7181,"task":"text-classification"}},{"id":"hf:meta-llama/Llama-Guard-4-12B","at":"2025-04-23T11:30:25.000Z","title":"meta-llama/Llama-Guard-4-12B","url":"https://huggingface.co/meta-llama/Llama-Guard-4-12B","severity":"info","meta":{"likes":136,"downloads":86781,"task":"image-text-to-text"}},{"id":"hf:xai-org/grok-1","at":"2024-03-17T05:47:21.000Z","title":"xai-org/grok-1","url":"https://huggingface.co/xai-org/grok-1","severity":"info","meta":{"likes":2483,"downloads":2713,"task":"text-generation"}}],"at":"2026-10-30T17:37:02.000Z","fetchedAt":"2026-11-02T12:00:20.416Z","meta":null,"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"arxiv-ai-papers":{"id":"arxiv-ai-papers","kind":"metric","value":328.57142857142856,"at":"2026-10-30T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":-3.428571428571445,"series":[[1786858529234,273.85714285714283],[1786881342288,273],[1786902042288,273.2857142857143],[1786922742287,272],[1786943442285,270.85714285714283],[1786964142288,269.57142857142856],[1786985143146,268.85714285714283],[1787005843148,268.14285714285717],[1787037343169,262.57142857142856],[1787058043154,259.7142857142857],[1787078743146,257.85714285714283],[1787099443142,254.71428571428572],[1787120143143,251.71428571428572],[1787140843159,251.28571428571428],[1787161543147,248.85714285714286],[1787182243142,246.85714285714286],[1787202943145,242.71428571428572],[1787224505819,241.71428571428572],[1787245206125,239],[1787301005840,239],[1787321705617,238],[1787342407525,232.85714285714286],[1787364905624,240.28571428571428],[1787388305739,238.14285714285714],[1787409005623,238.71428571428572],[1787429705619,237.28571428571428],[1787451305623,239.14285714285714],[1787472005642,238.28571428571428],[1787492705639,238.71428571428572],[1787513405625,237.42857142857142],[1787534105628,239],[1787554805635,238.71428571428572],[1787575505622,237.28571428571428],[1787596205719,240.28571428571428],[1787616905619,242.85714285714286],[1787656505634,250],[1787677205627,253.71428571428572],[1787705154734,257.57142857142856],[1787725856653,256.2857142857143],[1787746557756,257.7142857142857],[1787767265413,261.57142857142856],[1787787957675,263.85714285714283],[1787808654137,265.57142857142856],[1787829352346,266.57142857142856],[1787850079994,268.57142857142856],[1787875209415,264.2857142857143],[1787896814839,276],[1787918413957,276.14285714285717],[1787940009372,274.57142857142856],[1787961606954,267.7142857142857],[1787983210153,280],[1788004810278,278.85714285714283],[1788026412270,283.2857142857143],[1788048009496,280.14285714285717],[1788069609450,282],[1788091211057,281.57142857142856],[1788112809052,283.42857142857144],[1788156009261,286.57142857142856],[1788177615625,291.14285714285717],[1788199244157,297],[1788242436991,304.7142857142857],[1788264044684,306.85714285714283],[1788285643647,311],[1788307234425,308.14285714285717],[1788328833108,310.85714285714283],[1788350456159,311.42857142857144],[1788372056648,306.57142857142856],[1788415231834,304.57142857142856],[1788436870905,303.14285714285717],[1788458452779,304.14285714285717],[1788501654804,312.57142857142856],[1788523250891,314],[1788544847752,314.42857142857144],[1788588045826,301],[1788609645026,294.7142857142857],[1788631246191,285.7142857142857],[1788674445048,313.57142857142856],[1788696045328,311.85714285714283],[1788717646305,309.7142857142857],[1788739268043,305.85714285714283],[1788760872862,306.85714285714283],[1788782479491,299.57142857142856],[1788804077603,291.2857142857143],[1788847264952,282.42857142857144],[1788868849160,277.7142857142857],[1788890440084,273.7142857142857],[1788933662242,271.85714285714283],[1788955261980,270.14285714285717],[1789236065197,268.14285714285717],[1789257658252,269.85714285714283],[1789279208071,271.2857142857143],[1789300815601,270.57142857142856],[1789322420698,271.85714285714283],[1789344005243,275.2857142857143],[1789365608250,279.2857142857143],[1789387217999,279.57142857142856],[1789408816374,280.57142857142856],[1789430407653,284.42857142857144],[1789473612513,283.14285714285717],[1789495226266,280.7142857142857],[1789516826338,283.7142857142857],[1789538426331,284.57142857142856],[1789560026335,285.42857142857144],[1789581626557,287.57142857142856],[1789603226530,285.57142857142856],[1789624826434,285.42857142857144],[1789646426335,285.42857142857144],[1789668026258,285.7142857142857],[1789689647034,276.7142857142857],[1789711246807,284.14285714285717],[1789732847995,284.85714285714283],[1789754447476,284.7142857142857],[1789797647212,286],[1789819249534,285.14285714285717],[1789840848494,285.7142857142857],[1789862447034,285],[1789884048633,285.2857142857143],[1789905651263,285.2857142857143],[1789927249644,283],[1789948850429,281.85714285714283],[1789970450644,280],[1789992059667,279.42857142857144],[1790013651982,279.14285714285717],[1790035248813,275.42857142857144],[1790056850319,276],[1790078457984,273.57142857142856],[1790100050435,275.14285714285717],[1790121647520,274.2857142857143],[1790143253962,276.85714285714283],[1790164864323,273.85714285714283],[1790186466666,272.85714285714283],[1790229654277,271.2857142857143],[1790251263987,270.7142857142857],[1790272877695,275],[1790294459068,267.7142857142857],[1790316053884,284.14285714285717],[1790337665149,288.7142857142857],[1790359268022,291],[1790402457487,307.7142857142857],[1790424055847,317.42857142857144],[1790445658086,334.57142857142856],[1790488857066,361.57142857142856],[1790510464490,372.2857142857143],[1790575265290,408.2857142857143],[1790596855170,434.7142857142857],[1790618455094,462],[1790661653667,495.14285714285717],[1790683255079,512.8571428571429],[1790704863289,536.5714285714286],[1790726457168,547],[1790748053597,556.1428571428571],[1790769670283,574],[1790791267313,593.5714285714286],[1790834457300,610.2857142857143],[1790856056802,614.8571428571429],[1790920855323,633.1428571428571],[1790942468472,634.4285714285714],[1790964067512,638.7142857142857],[1791007266794,640.1428571428571],[1791028862344,630.1428571428571],[1791050464995,616.7142857142857],[1791093668795,608.7142857142857],[1791115283823,601.1428571428571],[1791136872182,594.7142857142857],[1791180058799,581.5714285714286],[1791201689341,559.7142857142857],[1791223285545,547.5714285714286],[1791288070947,526.1428571428571],[1791352865901,494.42857142857144],[1791374477760,485.85714285714283],[1791396091638,479.85714285714283],[1791439255704,470],[1791460857940,474.85714285714283],[1791482462382,471.2857142857143],[1791525656653,464.42857142857144],[1791547259838,463.42857142857144],[1791568863168,460],[1791612065452,436.14285714285717],[1791633711677,427.57142857142856],[1791655311333,415.57142857142856],[1791720069848,453.42857142857144],[1791784872151,447.2857142857143],[1791806480628,448.14285714285717],[1791828082016,439.14285714285717],[1791979249716,448.14285714285717],[1792000850932,442],[1792044053793,443.2857142857143],[1792065652960,437.2857142857143],[1792087249482,432.85714285714283],[1792130464948,437.85714285714283],[1792152004674,436.42857142857144],[1792173607176,432.57142857142856],[1792195206736,422.57142857142856],[1792216804901,439.85714285714283],[1792260005070,431.85714285714283],[1792281605178,430.7142857142857],[1792303210566,434.14285714285717],[1792324812227,435.7142857142857],[1792346408919,434.14285714285717],[1792389611086,436.85714285714283],[1792432844076,437.42857142857144],[1792476041409,440.57142857142856],[1792497637531,432.57142857142856],[1792519240001,425.2857142857143],[1792562441738,416],[1792584041692,411.85714285714283],[1792605639629,405.14285714285717],[1792648842664,394.2857142857143],[1792670439695,390.2857142857143],[1792692040610,381.57142857142856],[1792756837825,378.57142857142856],[1792778439515,375.2857142857143],[1792821637607,371.57142857142856],[1792843219828,370.42857142857144],[1792864819928,373.2857142857143],[1792908019818,370.2857142857143],[1792929631487,367.14285714285717],[1792951226007,365.42857142857144],[1792994414944,363.42857142857144],[1793016019011,362.42857142857144],[1793037612038,359.14285714285717],[1793059215497,355.7142857142857],[1793080810433,354.14285714285717],[1793102414338,355],[1793124020450,352.14285714285717],[1793145620468,352.85714285714283],[1793167220392,351.57142857142856],[1793188820388,345.14285714285717],[1793210420380,327.2857142857143],[1793253620393,330.85714285714283],[1793275220458,327.7142857142857],[1793296820374,329.57142857142856],[1793340020386,332],[1793361620416,328.57142857142856]],"range":{"min":232.85714285714286,"max":640.1428571428571,"n":234},"meta":{"total":2300,"windowDays":7,"lagDays":3,"from":"2026-10-23","to":"2026-10-30","categories":"cs.AI, cs.LG, cs.CL"},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"hf-daily-papers":{"id":"hf-daily-papers","kind":"events","items":[{"id":"arxiv:2610.42136","at":"2026-10-30T13:58:33.000Z","title":"ReLift: Dense 3D Tracking as Lifted Trajectory Repair","url":"https://huggingface.co/papers/2610.42136","severity":"info","meta":{"upvotes":14,"comments":4}},{"id":"arxiv:2610.42053","at":"2026-10-30T13:18:13.000Z","title":"REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control","url":"https://huggingface.co/papers/2610.42053","severity":"info","meta":{"upvotes":11,"comments":1}},{"id":"arxiv:2610.41260","at":"2026-10-30T01:05:12.000Z","title":"SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement","url":"https://huggingface.co/papers/2610.41260","severity":"info","meta":{"upvotes":1,"comments":1}},{"id":"arxiv:2610.42141","at":"2026-10-29T20:00:00.000Z","title":"RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory","url":"https://huggingface.co/papers/2610.42141","severity":"info","meta":{"upvotes":5,"comments":1}},{"id":"arxiv:2610.42096","at":"2026-10-29T20:00:00.000Z","title":"CausalWAM: Learning the Causes of Actions in World Action Models","url":"https://huggingface.co/papers/2610.42096","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.16927","at":"2026-10-29T20:00:00.000Z","title":"WeFair: Fidelity-Aware Alignment from Human Feedback for Personalized Query Rewriting in Short-Video Search","url":"https://huggingface.co/papers/2610.16927","severity":"info","meta":{"upvotes":5,"comments":1}},{"id":"arxiv:2610.42149","at":"2026-10-29T20:00:00.000Z","title":"Latent Reasoning in Continuous Space for Unified Multimodal Models","url":"https://huggingface.co/papers/2610.42149","severity":"info","meta":{"upvotes":22,"comments":1}},{"id":"arxiv:2610.40914","at":"2026-10-29T15:35:11.000Z","title":"No Channels Left Behind: Understanding Diffusion Acceleration through Residual Gates","url":"https://huggingface.co/papers/2610.40914","severity":"info","meta":{"upvotes":15,"comments":1}},{"id":"arxiv:2610.40636","at":"2026-10-29T13:58:16.000Z","title":"Probing Spatial State Representations in Visual Foundation Models","url":"https://huggingface.co/papers/2610.40636","severity":"info","meta":{"upvotes":14,"comments":1}},{"id":"arxiv:2610.40727","at":"2026-10-29T06:16:03.000Z","title":"VoxLock: Target-Speaker Extraction for Voice Agents Without an Enrollment Step","url":"https://huggingface.co/papers/2610.40727","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.39276","at":"2026-10-28T23:28:49.000Z","title":"MemSteer: Turning User Histories into Supervision for Agent Memory Optimization","url":"https://huggingface.co/papers/2610.39276","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.40362","at":"2026-10-28T20:00:00.000Z","title":"Your LR Schedule May Not Be Principled: Effective Learning Rate Scheduling in Weight-Normalized Training","url":"https://huggingface.co/papers/2610.40362","severity":"info","meta":{"upvotes":7,"comments":2}},{"id":"arxiv:2610.40599","at":"2026-10-28T20:00:00.000Z","title":"HairDeck: Animation-Ready Stylized Hair Cards from a Single Image","url":"https://huggingface.co/papers/2610.40599","severity":"info","meta":{"upvotes":23,"comments":2}},{"id":"arxiv:2610.39633","at":"2026-10-28T20:00:00.000Z","title":"Intrinsic Distribution Matching","url":"https://huggingface.co/papers/2610.39633","severity":"info","meta":{"upvotes":19,"comments":4}},{"id":"arxiv:2610.39664","at":"2026-10-28T20:00:00.000Z","title":"EditAgent: Rethinking Agentic Image Editing","url":"https://huggingface.co/papers/2610.39664","severity":"info","meta":{"upvotes":7,"comments":1}},{"id":"arxiv:2610.39423","at":"2026-10-28T20:00:00.000Z","title":"FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss","url":"https://huggingface.co/papers/2610.39423","severity":"info","meta":{"upvotes":2,"comments":2}},{"id":"arxiv:2610.39301","at":"2026-10-28T20:00:00.000Z","title":"Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities","url":"https://huggingface.co/papers/2610.39301","severity":"info","meta":{"upvotes":15,"comments":3}},{"id":"arxiv:2610.39287","at":"2026-10-28T20:00:00.000Z","title":"OpenFlyV2: An onboard vision-language-action model for aerial perception and navigation","url":"https://huggingface.co/papers/2610.39287","severity":"info","meta":{"upvotes":7,"comments":2}},{"id":"arxiv:2610.40453","at":"2026-10-28T20:00:00.000Z","title":"PhysInsert: Physically Plausible Object Insertion with Geometric Priors and Bidirectional Object-Scene Interactions","url":"https://huggingface.co/papers/2610.40453","severity":"info","meta":{"upvotes":14,"comments":2}},{"id":"arxiv:2610.39663","at":"2026-10-28T20:00:00.000Z","title":"AB-Attention: Accurate Block Attention for Accelerating Video Diffusion Transformers","url":"https://huggingface.co/papers/2610.39663","severity":"info","meta":{"upvotes":6,"comments":2}},{"id":"arxiv:2610.40647","at":"2026-10-28T20:00:00.000Z","title":"Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers","url":"https://huggingface.co/papers/2610.40647","severity":"info","meta":{"upvotes":24,"comments":6}},{"id":"arxiv:2610.40614","at":"2026-10-28T20:00:00.000Z","title":"L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian Memory","url":"https://huggingface.co/papers/2610.40614","severity":"info","meta":{"upvotes":40,"comments":5}},{"id":"arxiv:2610.39264","at":"2026-10-28T20:00:00.000Z","title":"Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps","url":"https://huggingface.co/papers/2610.39264","severity":"info","meta":{"upvotes":9,"comments":2}},{"id":"arxiv:2610.40454","at":"2026-10-28T20:00:00.000Z","title":"Glance: The Generator Is Its Own Reranker","url":"https://huggingface.co/papers/2610.40454","severity":"info","meta":{"upvotes":11,"comments":2}},{"id":"arxiv:2610.39293","at":"2026-10-28T20:00:00.000Z","title":"Unlocking Any-Order Generation in Pretrained Autoregressive Image Models","url":"https://huggingface.co/papers/2610.39293","severity":"info","meta":{"upvotes":3,"comments":2}},{"id":"arxiv:2610.40564","at":"2026-10-28T20:00:00.000Z","title":"Training Foundation Models with a Single Algorithm","url":"https://huggingface.co/papers/2610.40564","severity":"info","meta":{"upvotes":12,"comments":3}},{"id":"arxiv:2610.39302","at":"2026-10-28T20:00:00.000Z","title":"Proving and Improving the Platonic Representation Hypothesis with JEPAs","url":"https://huggingface.co/papers/2610.39302","severity":"info","meta":{"upvotes":66,"comments":4}},{"id":"arxiv:2610.39086","at":"2026-10-28T20:00:00.000Z","title":"HALO: Human-Grounded Granular Evaluation of Proactive Agents","url":"https://huggingface.co/papers/2610.39086","severity":"info","meta":{"upvotes":6,"comments":1}},{"id":"arxiv:2610.40738","at":"2026-10-28T20:00:00.000Z","title":"Apriel Voice 27B Preview: An Open Model for Speech, Reasoning, and Tool Use","url":"https://huggingface.co/papers/2610.40738","severity":"info","meta":{"upvotes":15,"comments":1}},{"id":"arxiv:2610.40945","at":"2026-10-28T20:00:00.000Z","title":"On the Origin and Evolution of Training-Inference Mismatch in LLM Reinforcement Learning","url":"https://huggingface.co/papers/2610.40945","severity":"info","meta":{"upvotes":6,"comments":1}},{"id":"arxiv:2610.40799","at":"2026-10-28T20:00:00.000Z","title":"CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents","url":"https://huggingface.co/papers/2610.40799","severity":"info","meta":{"upvotes":16,"comments":1}},{"id":"arxiv:2610.40339","at":"2026-10-28T20:00:00.000Z","title":"Wizard: Manipulate Any World in Real Time via Agentic Control","url":"https://huggingface.co/papers/2610.40339","severity":"info","meta":{"upvotes":24,"comments":1}},{"id":"arxiv:2610.39497","at":"2026-10-28T20:00:00.000Z","title":"Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?","url":"https://huggingface.co/papers/2610.39497","severity":"info","meta":{"upvotes":56,"comments":1}},{"id":"arxiv:2610.40748","at":"2026-10-28T20:00:00.000Z","title":"WorldBridge: Bridging Video and Action for Task Generalization in World Action Models","url":"https://huggingface.co/papers/2610.40748","severity":"info","meta":{"upvotes":12,"comments":1}},{"id":"arxiv:2610.40373","at":"2026-10-28T20:00:00.000Z","title":"HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model","url":"https://huggingface.co/papers/2610.40373","severity":"info","meta":{"upvotes":22,"comments":1}},{"id":"arxiv:2610.40256","at":"2026-10-28T20:00:00.000Z","title":"When Requirements Interact: Scaling Long-Horizon Coding via Interdependent Specifications","url":"https://huggingface.co/papers/2610.40256","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.38293","at":"2026-10-28T01:24:11.000Z","title":"EPSBench: Benchmarking LLM Agents for Earnings Forecasting","url":"https://huggingface.co/papers/2610.38293","severity":"info","meta":{"upvotes":3,"comments":3}},{"id":"arxiv:2610.38678","at":"2026-10-27T20:00:00.000Z","title":"AskStream: When and What to Ask Proactively under Uncertainty in Streaming Video Understanding","url":"https://huggingface.co/papers/2610.38678","severity":"info","meta":{"upvotes":9,"comments":3}},{"id":"arxiv:2610.38352","at":"2026-10-27T20:00:00.000Z","title":"WeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video","url":"https://huggingface.co/papers/2610.38352","severity":"info","meta":{"upvotes":15,"comments":1}},{"id":"arxiv:2610.38425","at":"2026-10-27T20:00:00.000Z","title":"IntReal: A Real-World Dataset and Benchmark for Multimodal Interleaved Generation","url":"https://huggingface.co/papers/2610.38425","severity":"info","meta":{"upvotes":12,"comments":3}},{"id":"arxiv:2610.38331","at":"2026-10-27T20:00:00.000Z","title":"Multi-Token Prediction Done Right","url":"https://huggingface.co/papers/2610.38331","severity":"info","meta":{"upvotes":17,"comments":3}},{"id":"arxiv:2610.38342","at":"2026-10-27T20:00:00.000Z","title":"Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?","url":"https://huggingface.co/papers/2610.38342","severity":"info","meta":{"upvotes":12,"comments":4}},{"id":"arxiv:2610.38568","at":"2026-10-27T20:00:00.000Z","title":"A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-Improvement","url":"https://huggingface.co/papers/2610.38568","severity":"info","meta":{"upvotes":71,"comments":4}},{"id":"arxiv:2610.38174","at":"2026-10-27T20:00:00.000Z","title":"Scaling Lean Theorem Proving for Real-World Code Verification","url":"https://huggingface.co/papers/2610.38174","severity":"info","meta":{"upvotes":7,"comments":2}},{"id":"arxiv:2610.38681","at":"2026-10-27T20:00:00.000Z","title":"Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning Models","url":"https://huggingface.co/papers/2610.38681","severity":"info","meta":{"upvotes":3,"comments":2}},{"id":"arxiv:2610.37919","at":"2026-10-27T16:02:47.000Z","title":"SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World","url":"https://huggingface.co/papers/2610.37919","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.37381","at":"2026-10-26T20:00:00.000Z","title":"PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations","url":"https://huggingface.co/papers/2610.37381","severity":"info","meta":{"upvotes":144,"comments":2}},{"id":"arxiv:2610.37255","at":"2026-10-26T20:00:00.000Z","title":"Your Policy Is Secretly a Harness: The Decision Geometry of Agent Interfaces","url":"https://huggingface.co/papers/2610.37255","severity":"info","meta":{"upvotes":7,"comments":2}},{"id":"arxiv:2610.37175","at":"2026-10-26T20:00:00.000Z","title":"MLE-World: Predicting Machine Learning Experiment Outcomes with a Learned World Model","url":"https://huggingface.co/papers/2610.37175","severity":"info","meta":{"upvotes":3,"comments":0}},{"id":"arxiv:2610.37219","at":"2026-10-26T20:00:00.000Z","title":"Vision-Language-Action or World-Action? Just Action Models","url":"https://huggingface.co/papers/2610.37219","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.37585","at":"2026-10-26T20:00:00.000Z","title":"Timestral","url":"https://huggingface.co/papers/2610.37585","severity":"info","meta":{"upvotes":5,"comments":0}},{"id":"arxiv:2610.37386","at":"2026-10-26T20:00:00.000Z","title":"Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data","url":"https://huggingface.co/papers/2610.37386","severity":"info","meta":{"upvotes":18,"comments":2}},{"id":"arxiv:2610.37341","at":"2026-10-26T20:00:00.000Z","title":"CodeCap-Bench: Can Code Serve as a Good Video Caption?","url":"https://huggingface.co/papers/2610.37341","severity":"info","meta":{"upvotes":49,"comments":1}},{"id":"arxiv:2610.37666","at":"2026-10-26T20:00:00.000Z","title":"ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning","url":"https://huggingface.co/papers/2610.37666","severity":"info","meta":{"upvotes":45,"comments":1}},{"id":"arxiv:2610.36729","at":"2026-10-26T20:00:00.000Z","title":"Hy-Nomas: Towards Free-form Interactive World Generation","url":"https://huggingface.co/papers/2610.36729","severity":"info","meta":{"upvotes":101,"comments":1}},{"id":"arxiv:2610.37649","at":"2026-10-26T20:00:00.000Z","title":"Can LLMs Uncover Hidden Physical Laws through Free Exploration?","url":"https://huggingface.co/papers/2610.37649","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.36466","at":"2026-10-26T20:00:00.000Z","title":"Nemotron-Labs-Diffusion-Uni: Elastic Self-Refining Unified Diffusion LLM with Cross-Paradigm On-Policy Distillation","url":"https://huggingface.co/papers/2610.36466","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.36456","at":"2026-10-26T20:00:00.000Z","title":"LociArt: A Unified Paradigm for Free-Style Local Video Stylization","url":"https://huggingface.co/papers/2610.36456","severity":"info","meta":{"upvotes":26,"comments":1}},{"id":"arxiv:2610.37037","at":"2026-10-26T20:00:00.000Z","title":"Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception","url":"https://huggingface.co/papers/2610.37037","severity":"info","meta":{"upvotes":28,"comments":3}},{"id":"arxiv:2610.37662","at":"2026-10-26T20:00:00.000Z","title":"Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals?","url":"https://huggingface.co/papers/2610.37662","severity":"info","meta":{"upvotes":60,"comments":2}},{"id":"arxiv:2610.37624","at":"2026-10-26T20:00:00.000Z","title":"Rare, Relevant, and Still Wrong: How Memory Fails LLM Group Decisions","url":"https://huggingface.co/papers/2610.37624","severity":"info","meta":{"upvotes":5,"comments":2}},{"id":"arxiv:2610.35864","at":"2026-10-26T20:00:00.000Z","title":"VibeVideoBench: Evaluating Multimodal Agents on Code-Driven Video Generation","url":"https://huggingface.co/papers/2610.35864","severity":"info","meta":{"upvotes":174,"comments":2}},{"id":"arxiv:2610.36791","at":"2026-10-26T20:00:00.000Z","title":"RynnWorld-Latent: A Cross-Embodiment World Model Conditioned on Universal Latent Actions","url":"https://huggingface.co/papers/2610.36791","severity":"info","meta":{"upvotes":9,"comments":2}},{"id":"arxiv:2610.37364","at":"2026-10-26T20:00:00.000Z","title":"EmbeddingGemma 2: Unified and Efficient Multimodal Representations","url":"https://huggingface.co/papers/2610.37364","severity":"info","meta":{"upvotes":26,"comments":2}},{"id":"arxiv:2509.05512","at":"2026-10-26T20:00:00.000Z","title":"Quaternion Approximate Networks for Enhanced Image Classification and Oriented Object Detection","url":"https://huggingface.co/papers/2509.05512","severity":"info","meta":{"upvotes":2,"comments":2}},{"id":"arxiv:2610.37230","at":"2026-10-26T20:00:00.000Z","title":"TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving","url":"https://huggingface.co/papers/2610.37230","severity":"info","meta":{"upvotes":16,"comments":3}},{"id":"arxiv:2610.37626","at":"2026-10-26T20:00:00.000Z","title":"Know, then Draw: A New Learning Paradigm for Visual Generation","url":"https://huggingface.co/papers/2610.37626","severity":"info","meta":{"upvotes":2,"comments":2}},{"id":"arxiv:2610.36420","at":"2026-10-26T20:00:00.000Z","title":"SO-101 Bench: Accessible Spatial Manipulation","url":"https://huggingface.co/papers/2610.36420","severity":"info","meta":{"upvotes":8,"comments":3}},{"id":"arxiv:2610.37786","at":"2026-10-26T20:00:00.000Z","title":"WebAnything: From the Wild Web to Scalable Agent Environments","url":"https://huggingface.co/papers/2610.37786","severity":"info","meta":{"upvotes":11,"comments":1}},{"id":"arxiv:2610.37161","at":"2026-10-26T20:00:00.000Z","title":"WorkFactory: Turning Professional Intents into Executable Work for Scalable Agent Training","url":"https://huggingface.co/papers/2610.37161","severity":"info","meta":{"upvotes":28,"comments":2}},{"id":"arxiv:2610.36671","at":"2026-10-26T20:00:00.000Z","title":"Look Only When Needed: Certificate-Guided Visual Routing for Efficient Diffusion VLMs","url":"https://huggingface.co/papers/2610.36671","severity":"info","meta":{"upvotes":101,"comments":3}},{"id":"arxiv:2610.36545","at":"2026-10-26T20:00:00.000Z","title":"FrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation","url":"https://huggingface.co/papers/2610.36545","severity":"info","meta":{"upvotes":24,"comments":1}},{"id":"arxiv:2610.37393","at":"2026-10-26T20:00:00.000Z","title":"Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling","url":"https://huggingface.co/papers/2610.37393","severity":"info","meta":{"upvotes":6,"comments":1}},{"id":"arxiv:2610.37918","at":"2026-10-26T20:00:00.000Z","title":"Venus-DefakerOne2: A Vision-Forensics Foundation Model with Broader Coverage","url":"https://huggingface.co/papers/2610.37918","severity":"info","meta":{"upvotes":13,"comments":1}},{"id":"arxiv:2610.35518","at":"2026-10-25T20:00:00.000Z","title":"S3AC: Stabilized, Selective, and Scalable Actor-Critic for LLM Reasoning","url":"https://huggingface.co/papers/2610.35518","severity":"info","meta":{"upvotes":12,"comments":1}},{"id":"arxiv:2610.35434","at":"2026-10-25T20:00:00.000Z","title":"Skill^{infty}: Recursive Self-Improvement for Agent Skill Optimization","url":"https://huggingface.co/papers/2610.35434","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.35193","at":"2026-10-25T20:00:00.000Z","title":"Trustworthy Recursive Self-Improvement in the Era of Large Models: Foundation, Risks, Evaluation and Open Challenges","url":"https://huggingface.co/papers/2610.35193","severity":"info","meta":{"upvotes":16,"comments":1}},{"id":"arxiv:2610.35845","at":"2026-10-25T20:00:00.000Z","title":"Work Agents: Systems, Capabilities, and Optimization","url":"https://huggingface.co/papers/2610.35845","severity":"info","meta":{"upvotes":13,"comments":1}},{"id":"arxiv:2610.34662","at":"2026-10-25T20:00:00.000Z","title":"StreamVibe: Proactive Video Agents for Evolving User Intent","url":"https://huggingface.co/papers/2610.34662","severity":"info","meta":{"upvotes":81,"comments":1}},{"id":"arxiv:2610.35328","at":"2026-10-25T20:00:00.000Z","title":"Constrained Decoding: Harmful or Beneficial? Revisiting Its Impact on LLM Performance","url":"https://huggingface.co/papers/2610.35328","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.35001","at":"2026-10-25T20:00:00.000Z","title":"More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation","url":"https://huggingface.co/papers/2610.35001","severity":"info","meta":{"upvotes":7,"comments":1}},{"id":"arxiv:2610.34654","at":"2026-10-25T20:00:00.000Z","title":"Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents","url":"https://huggingface.co/papers/2610.34654","severity":"info","meta":{"upvotes":7,"comments":1}},{"id":"arxiv:2610.35385","at":"2026-10-25T20:00:00.000Z","title":"EmbodiedLab: Benchmarking Embodied Agents That Act to Know","url":"https://huggingface.co/papers/2610.35385","severity":"info","meta":{"upvotes":9,"comments":2}},{"id":"arxiv:2610.34886","at":"2026-10-25T20:00:00.000Z","title":"ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning","url":"https://huggingface.co/papers/2610.34886","severity":"info","meta":{"upvotes":0,"comments":1}},{"id":"arxiv:2610.34735","at":"2026-10-25T20:00:00.000Z","title":"iPrefBench: A User-Centric Benchmark for Personalized Mobile Use Agents","url":"https://huggingface.co/papers/2610.34735","severity":"info","meta":{"upvotes":7,"comments":1}},{"id":"arxiv:2610.35450","at":"2026-10-25T20:00:00.000Z","title":"OBB-PBD: Extending Parallel Box Decoding to Oriented Bounding Boxes for Referring Expression Grounding in Aerial Imagery","url":"https://huggingface.co/papers/2610.35450","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.35295","at":"2026-10-25T20:00:00.000Z","title":"Did the Model Use That? Counterfactual Training Boosts Self-Attribution in Language Models","url":"https://huggingface.co/papers/2610.35295","severity":"info","meta":{"upvotes":0,"comments":1}},{"id":"arxiv:2610.34674","at":"2026-10-25T20:00:00.000Z","title":"Benchmarking Obstacle-Conditioned Safety in Household Robot Navigation","url":"https://huggingface.co/papers/2610.34674","severity":"info","meta":{"upvotes":7,"comments":3}},{"id":"arxiv:2610.36077","at":"2026-10-25T20:00:00.000Z","title":"The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents","url":"https://huggingface.co/papers/2610.36077","severity":"info","meta":{"upvotes":535,"comments":3}},{"id":"arxiv:2610.34921","at":"2026-10-25T20:00:00.000Z","title":"PhysEvolve: Verifier-grounded Self-evolution for Physical Reasoning with Executable Worlds","url":"https://huggingface.co/papers/2610.34921","severity":"info","meta":{"upvotes":2,"comments":2}},{"id":"arxiv:2610.26185","at":"2026-10-25T20:00:00.000Z","title":"MoveBench: A Rubric-Based Benchmark for Evaluating Large Language Models in Sports and Health Coaching","url":"https://huggingface.co/papers/2610.26185","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.36022","at":"2026-10-25T20:00:00.000Z","title":"Learning and Reasoning with Geometry: How Generation Helps Spatial Understanding","url":"https://huggingface.co/papers/2610.36022","severity":"info","meta":{"upvotes":4,"comments":1}},{"id":"arxiv:2610.35724","at":"2026-10-25T20:00:00.000Z","title":"MatAnyone-E: Sparse Memory Propagation for Efficient High-Resolution Video Matting","url":"https://huggingface.co/papers/2610.35724","severity":"info","meta":{"upvotes":16,"comments":1}},{"id":"arxiv:2610.35439","at":"2026-10-25T20:00:00.000Z","title":"Omni-InteractScope: Benchmarking Proactive and Agentic Interaction in Continuous Omnimodal Streams","url":"https://huggingface.co/papers/2610.35439","severity":"info","meta":{"upvotes":9,"comments":1}},{"id":"arxiv:2610.34714","at":"2026-10-25T20:00:00.000Z","title":"SearchHorizonBench: A Benchmark for Search Value in AI Agents","url":"https://huggingface.co/papers/2610.34714","severity":"info","meta":{"upvotes":3,"comments":1}},{"id":"arxiv:2610.34724","at":"2026-10-25T20:00:00.000Z","title":"Harness-Model Collaboration for Long-Horizon Continual Learning","url":"https://huggingface.co/papers/2610.34724","severity":"info","meta":{"upvotes":2,"comments":1}},{"id":"arxiv:2610.36269","at":"2026-10-25T20:00:00.000Z","title":"Cross-modal Steering Vectors Exist Across Both Image and Text Generation","url":"https://huggingface.co/papers/2610.36269","severity":"info","meta":{"upvotes":7,"comments":1}},{"id":"arxiv:2610.22543","at":"2026-10-25T20:00:00.000Z","title":"On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction","url":"https://huggingface.co/papers/2610.22543","severity":"info","meta":{"upvotes":19,"comments":1}},{"id":"arxiv:2610.35013","at":"2026-10-25T20:00:00.000Z","title":"Multiscale Policy Optimization for Long-Horizon LLM Agents","url":"https://huggingface.co/papers/2610.35013","severity":"info","meta":{"upvotes":380,"comments":4}},{"id":"arxiv:2602.10657","at":"2026-10-25T20:00:00.000Z","title":"The Lexical Imprint of Pre-training Data","url":"https://huggingface.co/papers/2602.10657","severity":"info","meta":{"upvotes":10,"comments":2}},{"id":"arxiv:2610.36184","at":"2026-10-25T20:00:00.000Z","title":"Lipi-Ghor: A Large-Scale, Diarized, Multi-Domain Bengali Speech Corpus and a Scalable Pipeline for Building It","url":"https://huggingface.co/papers/2610.36184","severity":"info","meta":{"upvotes":1,"comments":2}},{"id":"arxiv:2610.36192","at":"2026-10-25T20:00:00.000Z","title":"Beyond the Estimate: Wiener-Informed Decoding for Easier Training of Pixel-Space Flow Models","url":"https://huggingface.co/papers/2610.36192","severity":"info","meta":{"upvotes":11,"comments":2}},{"id":"arxiv:2610.34894","at":"2026-10-25T20:00:00.000Z","title":"What Outcome RL Buys: Finishing, Reliability, Rarely Reach","url":"https://huggingface.co/papers/2610.34894","severity":"info","meta":{"upvotes":4,"comments":2}},{"id":"arxiv:2610.36082","at":"2026-10-25T20:00:00.000Z","title":"How Much Does the Hint Matter? Scope Conditions for Hindsight Self-Distillation in Financial Reasoning","url":"https://huggingface.co/papers/2610.36082","severity":"info","meta":{"upvotes":5,"comments":2}},{"id":"arxiv:2610.35684","at":"2026-10-25T20:00:00.000Z","title":"OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images","url":"https://huggingface.co/papers/2610.35684","severity":"info","meta":{"upvotes":43,"comments":1}},{"id":"arxiv:2610.35201","at":"2026-10-25T20:00:00.000Z","title":"DTCA: Denoising Token Credit Assignment for Reinforcement Learning in Diffusion Language Models","url":"https://huggingface.co/papers/2610.35201","severity":"info","meta":{"upvotes":256,"comments":4}},{"id":"arxiv:2610.35671","at":"2026-10-25T20:00:00.000Z","title":"Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks","url":"https://huggingface.co/papers/2610.35671","severity":"info","meta":{"upvotes":5,"comments":2}},{"id":"arxiv:2610.36095","at":"2026-10-25T20:00:00.000Z","title":"Instruction Capacity: Behavior and Degradation of Language Models under Controlled Load","url":"https://huggingface.co/papers/2610.36095","severity":"info","meta":{"upvotes":2,"comments":2}},{"id":"arxiv:2610.35138","at":"2026-10-25T20:00:00.000Z","title":"Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models","url":"https://huggingface.co/papers/2610.35138","severity":"info","meta":{"upvotes":19,"comments":1}},{"id":"arxiv:2610.34722","at":"2026-10-25T20:00:00.000Z","title":"CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems","url":"https://huggingface.co/papers/2610.34722","severity":"info","meta":{"upvotes":17,"comments":1}},{"id":"arxiv:2610.34926","at":"2026-10-25T20:00:00.000Z","title":"Supervising the Visible State: Separating Representation from View Selection in Streaming Video","url":"https://huggingface.co/papers/2610.34926","severity":"info","meta":{"upvotes":4,"comments":1}},{"id":"arxiv:2610.34415","at":"2026-10-24T20:00:00.000Z","title":"Spatial Audio Generation and Editing with Executable Plans and Self-Distilling Transfusion","url":"https://huggingface.co/papers/2610.34415","severity":"info","meta":{"upvotes":38,"comments":1}},{"id":"arxiv:2610.34356","at":"2026-10-24T20:00:00.000Z","title":"RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions","url":"https://huggingface.co/papers/2610.34356","severity":"info","meta":{"upvotes":9,"comments":2}},{"id":"arxiv:2610.34467","at":"2026-10-24T20:00:00.000Z","title":"DynaFlow: Learning Free-Form Multi-Agent Orchestration","url":"https://huggingface.co/papers/2610.34467","severity":"info","meta":{"upvotes":154,"comments":1}},{"id":"arxiv:2610.34238","at":"2026-10-24T20:00:00.000Z","title":"Δτ-Bench: Pushing Agents Toward a Moving Capability","url":"https://huggingface.co/papers/2610.34238","severity":"info","meta":{"upvotes":17,"comments":1}},{"id":"arxiv:2610.34634","at":"2026-10-24T20:00:00.000Z","title":"AgentProofBench: Benchmarking Reusable Verifiers for Web Agents","url":"https://huggingface.co/papers/2610.34634","severity":"info","meta":{"upvotes":4,"comments":1}},{"id":"arxiv:2610.18683","at":"2026-10-24T20:00:00.000Z","title":"ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning","url":"https://huggingface.co/papers/2610.18683","severity":"info","meta":{"upvotes":7,"comments":1}},{"id":"arxiv:2610.33966","at":"2026-10-24T20:00:00.000Z","title":"InteractiveWorld: A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants","url":"https://huggingface.co/papers/2610.33966","severity":"info","meta":{"upvotes":61,"comments":1}},{"id":"arxiv:2610.33956","at":"2026-10-24T20:00:00.000Z","title":"Continual Learning Exam: Benchmarking Long-Horizon RSI and Experiential Learning in LLM Agents","url":"https://huggingface.co/papers/2610.33956","severity":"info","meta":{"upvotes":9,"comments":1}},{"id":"arxiv:2610.34241","at":"2026-10-24T20:00:00.000Z","title":"Beyond Benchmarks: Can Small Open-Weight Models Get Real Coding Work Done?","url":"https://huggingface.co/papers/2610.34241","severity":"info","meta":{"upvotes":4,"comments":6}}],"at":"2026-10-30T13:58:33.000Z","fetchedAt":"2026-11-02T12:00:20.416Z","meta":null,"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"epoch-frontier-models":{"id":"epoch-frontier-models","kind":"metric","value":25,"at":"2026-10-15T00:00:00.000Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":1,"series":[[1678838400000,1],[1686614400000,2],[1700611200000,3],[1701820800000,4],[1709510400000,5],[1718323200000,6],[1718841600000,7],[1721692800000,8],[1723507200000,9],[1730073600000,10],[1739750400000,11],[1740355200000,12],[1740614400000,13],[1743811200000,14],[1744243200000,15],[1752019200000,16],[1754524800000,17],[1757030400000,18],[1773878400000,19],[1779062400000,20],[1782691200000,21],[1784073600000,22],[1784160000000,23],[1788393600000,24],[1792022400000,25]],"range":{"min":1,"max":25,"n":25},"meta":{"withComputeEstimate":542,"above1e26":4,"largestRun":"GPT-6 Astra (OpenAI) 9.40e+26 FLOP","mostRecent":"MAI-Base-2 (Microsoft)"},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"epoch-largest-cluster":{"id":"epoch-largest-cluster","kind":"metric","value":275795.85649723833,"at":"2025-07-22T00:00:00.000Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":75795.85649429334,"series":[[1289779200000,4],[1331769600000,20],[1477958400000,29.263264275317198],[1494979200000,95.20768064819367],[1506816000000,1389.590702395391],[1606694400000,1412.592218312862],[1615766400000,3000],[1651276800000,7882.769075406651],[1693180800000,10000.000000147247],[1699401600000,10752.000000158252],[1700006400000,14400.000000212056],[1710201600000,24576.000000361928],[1724803200000,42000.00000061847],[1725235200000,100000.00000147166],[1739836800000,200000.000002945],[1753142400000,275795.85649723833]],"range":{"min":4,"max":275795.85649723833,"n":16},"meta":{"cluster":"xAI Colossus Memphis Phase 3","owner":"xAI","powerMW":352,"clustersTracked":454},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"aa-intelligence-index":{"id":"aa-intelligence-index","kind":"metric","value":59.4,"at":"2026-11-02T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":0,"series":[[1789257660361,53.4],[1789279260985,53.4],[1789300862113,53.4],[1789322477866,53.4],[1789344059160,53.4],[1789365657586,53.4],[1789387268572,53.4],[1789408859666,53.4],[1789430457564,53.4],[1789452058776,53.4],[1789473656099,53.4],[1789495265197,53.4],[1789516858252,53.4],[1789538408071,53.4],[1789560015601,53.4],[1789581620698,53.4],[1789603205243,53.4],[1789624808250,53.4],[1789646417999,53.4],[1789668016374,53.4],[1789689607653,53.4],[1789711206239,53.4],[1789732812513,53.4],[1789754426266,53.4],[1789776026338,53.4],[1789797626331,53.4],[1789819226335,53.4],[1789840826557,53.4],[1789862426530,53.4],[1789884026434,53.4],[1789905626335,53.4],[1789927226258,53.4],[1789948847034,53.4],[1789970446807,53.4],[1789992047995,53.4],[1790013647476,53.4],[1790035246516,53.4],[1790056847212,53.4],[1790078449534,53.4],[1790100048494,57.6],[1790121647034,57.6],[1790143248633,57.6],[1790164851263,57.6],[1790186449644,57.6],[1790208050429,57.6],[1790229650644,57.6],[1790251259667,57.6],[1790272851982,57.6],[1790294448813,57.6],[1790316050319,57.6],[1790337657984,57.6],[1790359250435,57.6],[1790380847520,57.6],[1790402453962,57.6],[1790424064323,57.6],[1790445666666,57.6],[1790467269181,57.6],[1790488854277,57.6],[1790510463987,57.6],[1790532077695,57.6],[1790553659068,57.6],[1790575253884,57.6],[1790596865149,57.6],[1790618468022,57.6],[1790640062074,57.6],[1790661657487,57.6],[1790683255847,57.6],[1790704858086,57.6],[1790726452103,57.6],[1790748057066,57.6],[1790769664490,57.6],[1790791258171,57.6],[1790812853389,57.6],[1790834465290,57.6],[1790856055170,57.6],[1790877655094,57.6],[1790899248980,57.6],[1790920853667,57.6],[1790942455079,57.6],[1790964063289,57.6],[1790985657168,57.6],[1791007253597,57.6],[1791028870283,57.6],[1791050467313,57.6],[1791072063484,57.6],[1791093657300,57.6],[1791115256802,57.6],[1791180055323,57.6],[1791201668472,57.6],[1791223267512,57.6],[1791244858597,57.6],[1791266466794,57.6],[1791288062344,57.6],[1791309664995,57.6],[1791331256791,57.6],[1791352868795,57.6],[1791374483823,57.6],[1791396072182,57.6],[1791417672110,57.6],[1791439258799,57.6],[1791460889341,57.6],[1791482485545,57.6],[1791504059406,57.6],[1791525655409,57.6],[1791547270947,57.6],[1791568870285,57.6],[1791590457018,57.6],[1791612065901,57.6],[1791633677760,57.6],[1791655291638,57.6],[1791676860128,57.6],[1791698455704,57.6],[1791720057940,57.6],[1791741662382,57.6],[1791763259489,57.6],[1791784856653,57.6],[1791806459838,57.6],[1791828063168,57.6],[1791849656721,57.6],[1791871265452,57.6],[1791892911677,57.6],[1791914511333,57.6],[1791936070050,57.6],[1791957668007,57.6],[1791979269848,57.6],[1792000885352,57.6],[1792022469859,57.6],[1792044072151,57.6],[1792065680628,57.6],[1792087282016,57.6],[1792108866239,57.6],[1792130467950,57.6],[1792152073796,57.6],[1792173681193,57.6],[1792195260132,57.6],[1792216852303,57.6],[1792238449716,57.6],[1792260050932,57.6],[1792281650640,57.6],[1792303253793,57.6],[1792324852960,57.6],[1792346449482,57.6],[1792368049380,57.6],[1792389664948,57.6],[1792411204674,57.6],[1792432807176,57.6],[1792454406736,57.6],[1792476004901,57.6],[1792497604716,57.6],[1792519205070,57.6],[1792540805178,57.6],[1792562410566,57.6],[1792584012227,57.6],[1792605608919,57.6],[1792627220727,57.6],[1792648811086,57.6],[1792670444264,57.6],[1792692044076,57.6],[1792713640545,57.6],[1792735241409,57.6],[1792756837531,57.6],[1792778440001,57.6],[1792800039919,57.6],[1792821641738,57.6],[1792843241692,57.6],[1792864839629,57.6],[1792886438832,57.6],[1792908042664,57.6],[1792929639695,57.6],[1792951240610,57.6],[1792972839416,57.6],[1792994440795,57.6],[1793016037825,57.6],[1793037639515,57.6],[1793059243286,57.6],[1793080837607,57.6],[1793102419828,57.6],[1793124019928,57.6],[1793145620213,57.6],[1793167219818,58.4],[1793188831487,58.4],[1793210426007,59.4],[1793232026857,59.4],[1793253614944,59.4],[1793275219011,59.4],[1793296812038,59.4],[1793318415497,59.4],[1793340010433,59.4],[1793361614338,59.4],[1793383220450,59.4],[1793404820468,59.4],[1793426420392,59.4],[1793448020388,59.4],[1793469620380,59.4],[1793491220386,59.4],[1793512820393,59.4],[1793534420458,59.4],[1793556020374,59.4],[1793577620396,59.4],[1793599220386,59.4],[1793620820416,59.4]],"range":{"min":53.4,"max":59.4,"n":201},"meta":{"model":"Gemini 4 Carbon (High)","creator":"Google","modelsScored":722,"cheapestTop10":"GPT-6.1 Sol (Max) @ $4/M"},"errorCount":0,"firstSeenAt":"2026-09-13T00:01:00.361Z","status":"unknown"},"gpu-h100-spot":{"id":"gpu-h100-spot","kind":"metric","value":1.787777777777778,"at":"2026-11-02T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":-0.6124074074074071,"series":[[1787117729234,1.053777777777778],[1787121342297,1.0535555555555556],[1787124942288,1.0535555555555556],[1787128542287,1.0535555555555556],[1787132142289,1.0535555555555556],[1787135742289,1.0535555555555556],[1787139342290,1.0535555555555556],[1787142942290,1.0535555555555556],[1787146542291,1.0535555555555556],[1787150142294,1.053777777777778],[1787153742287,1.0535555555555556],[1787157342292,1.0535555555555556],[1787160942289,0.9468888888888888],[1787164542288,1.2402222222222221],[1787168142290,1.6135555555555554],[1787171742289,1.6135555555555554],[1787175342290,1.6668888888888889],[1787178942292,1.8677777777777775],[1787184042851,1.8677777777777775],[1787188542293,1.733888888888889],[1787192142287,1.8677777777777775],[1787195742287,1.733888888888889],[1787199342286,1.733888888888889],[1787202942286,1.733888888888889],[1787206542287,1.733888888888889],[1787210142286,1.733888888888889],[1787213742289,1.733888888888889],[1787217342287,1.733888888888889],[1787220942286,1.733888888888889],[1787224542287,1.733888888888889],[1787228143183,1.733888888888889],[1787231743149,1.733888888888889],[1787235343149,1.733888888888889],[1787238943164,1.7355555555555555],[1787242543155,1.733888888888889],[1787246143222,1.733888888888889],[1787249743152,1.733888888888889],[1787253343150,1.6671111111111112],[1787256943148,1.8004444444444445],[1787260543145,1.8004444444444445],[1787264143146,1.8004444444444445],[1787267743147,1.8004444444444445],[1787271343142,1.8004444444444445],[1787274943144,1.800888888888889],[1787278543144,1.787777777777778],[1787282143144,1.7475555555555558],[1787296543169,1.547111111111111],[1787300143151,1.547111111111111],[1787303743148,0.9468888888888888],[1787307343154,0.9202222222222222],[1787310943146,0.9202222222222222],[1787314543145,1.2937777777777777],[1787318143145,1.2937777777777777],[1787321743144,1.2937777777777777],[1787325343148,0.9337777777777777],[1787328943143,0.8004444444444444],[1787332543149,0.8002222222222222],[1787336143147,0.8002222222222222],[1787339743157,0.8002222222222222],[1787343343145,0.8002222222222222],[1787346943157,0.8002222222222222],[1787350543143,0.8004444444444444],[1787354143158,0.8004444444444444],[1787357743144,0.8004444444444444],[1787361343143,0.8004444444444444],[1787364943144,1.3867407407407408],[1787368543157,0.8004444444444444],[1787372143144,0.8004444444444444],[1787375743150,0.8004444444444444],[1787379343143,0.8004444444444444],[1787382943149,0.41355555555555557],[1787386543147,0.41355555555555557],[1787390143147,0.32022222222222224],[1787393743147,1.7355555555555555],[1787397343147,1.7344444444444445],[1787400943145,0.4002222222222222],[1787404543144,1.7344444444444445],[1787408143145,0.3735555555555556],[1787411743144,0.33355555555555555],[1787415343146,0.28022222222222226],[1787418943147,1.492888888888889],[1787422543144,1.7344444444444445],[1787426143144,1.602962962962963],[1787429743143,1.492888888888889],[1787433343144,1.3867407407407408],[1787436943141,1.602962962962963],[1787440543143,1.6059259259259258],[1787444143142,1.602962962962963],[1787447743143,1.3867407407407408],[1787451343143,1.492888888888889],[1787454943143,1.3342222222222222],[1787458543143,1.4696296296296298],[1787462143145,1.4696296296296298],[1787483705819,1.4696296296296298],[1787487305721,1.4696296296296298],[1787490905616,1.7355555555555555],[1787494505616,1.1337777777777778],[1787498105617,1.1337777777777778],[1787501705620,1.7344444444444445],[1787505305625,1.1337777777777778],[1787508905618,1.1337777777777778],[1787512505620,1.1337777777777778],[1787560205840,1.3355555555555554],[1787563805806,1.3355555555555554],[1787567405715,1.7355555555555555],[1787571005816,1.4074074074074074],[1787574606014,1.492888888888889],[1787578205816,1.3355555555555554],[1787581806042,1.3355555555555554],[1787585405904,1.3355555555555554],[1787589005920,1.4074074074074074],[1787592605819,1.3355555555555554],[1787596206151,1.602222222222222],[1787599806011,1.49],[1787603405818,1.3355555555555554],[1787607005915,1.3355555555555554],[1787610605732,1.7355555555555555],[1787614206027,1.468888888888889],[1787617805707,1.3355555555555554],[1787621405720,1.3355555555555554],[1787625005617,1.468888888888889],[1787647505739,1.602962962962963],[1787651105620,1.3355555555555554],[1787654705616,1.7355555555555555],[1787658305619,1.3355555555555554],[1787661905626,1.3362962962962963],[1787665505620,1.4915556],[1787669105629,1.3362962962962963],[1787672705630,2.5355555555555553],[1787677206552,2.5355555555555553],[1787680806761,1.3362962962962963],[1787684406733,1.3362962962962963],[1787688006421,1.787777777777778],[1787691606859,1.3355555555555554],[1787695206522,1.7355555555555555],[1787698806133,1.3392592592592591],[1787702406420,1.3355555555555554],[1787706006257,1.4955555555555555],[1787709606014,1.3355555555555554],[1787713205745,1.602222222222222],[1787716805838,1.3355555555555554],[1787720405761,1.468888888888889],[1787724005646,1.4955555555555555],[1787727605626,1.468888888888889],[1787731205642,1.468888888888889],[1787734805769,1.602222222222222],[1787738405642,1.3355555555555554],[1787742005617,1.468888888888889],[1787745605744,1.468888888888889],[1787749205661,1.468888888888889],[1787752805819,1.602222222222222],[1787756405730,1.468888888888889],[1787760005713,1.7344444444444445],[1787763605725,1.7344444444444445],[1787767205817,1.7344444444444445],[1787770805630,1.3355555555555554],[1787774405639,1.3355555555555554],[1787778005667,1.7344444444444445],[1787781605641,1.3355555555555554],[1787785205626,1.733888888888889],[1787788805725,1.3355555555555554],[1787792405638,1.3355555555555554],[1787796005621,1.3355555555555554],[1787799605646,1.3355555555555554],[1787803205712,1.7344444444444445],[1787806805671,1.602222222222222],[1787810405645,1.3355555555555554],[1787814005635,1.602222222222222],[1787817605707,1.602222222222222],[1787821205615,1.602222222222222],[1787824805736,1.602222222222222],[1787828405908,1.602222222222222],[1787832005922,1.468888888888889],[1787835606423,1.602222222222222],[1787839206042,1.602222222222222],[1787842806132,1.3355555555555554],[1787846406158,1.468888888888889],[1787850005836,1.3355555555555554],[1787853606568,1.3355555555555554],[1787857206019,1.3355555555555554],[1787860806527,1.3355555555555554],[1787864406123,1.3355555555555554],[1787868006292,1.602222222222222],[1787871606084,1.3355555555555554],[1787875205819,1.6288888888888888],[1787878805910,1.468888888888889],[1787882405919,1.3355555555555554],[1787915705634,1.3355555555555554],[1787919305623,1.3355555555555554],[1787922905620,1.3355555555555554],[1787926505624,1.6008888888888888],[1787930105629,1.951688888888889],[1787933705651,1.3355555555555554],[1787937305624,1.950577777777778],[1787940905635,1.951688888888889],[1787944505617,1.3355555555555554],[1787948105622,1.7344444444444445],[1787951705644,1.7344444444444445],[1787955305620,1.3355555555555554],[1787964354734,1.3355555555555554],[1787967952964,1.3355555555555554],[1787971553341,1.9022222222222223],[1787975153942,1.3355555555555554],[1787978754441,1.468888888888889],[1787982354948,1.6288888888888888],[1787985954398,1.468888888888889],[1787989554557,1.3355555555555554],[1787993154946,1.7344444444444445],[1787996754271,1.3355555555555554],[1788000356580,1.7355555555555555],[1788003955463,1.7355555555555555],[1788007554323,1.7344444444444445],[1788011154063,1.7344444444444445],[1788014754091,1.3355555555555554],[1788018354255,1.7355555555555555],[1788021954989,1.3355555555555554],[1788025556393,1.7355555555555555],[1788029154978,1.7355555555555555],[1788032755889,1.733888888888889],[1788036356862,1.7344444444444445],[1788039953564,1.733888888888889],[1788043552274,1.602222222222222],[1788047157675,1.7344444444444445],[1788050752430,1.878311111111111],[1788054351148,1.3755555555555554],[1788057951670,1.5088888888888887],[1788061550940,1.6688888888888889],[1788065151267,1.3355555555555554],[1788068749957,1.3355555555555554],[1788072349865,1.3088888888888888],[1788075951360,1.4422222222222223],[1788079552169,1.602222222222222],[1788083152655,1.3355555555555554],[1788086752866,1.3355555555555554],[1788090355092,1.3355555555555554],[1788093953587,1.3355555555555554],[1788097553120,1.2688888888888887],[1788101153374,1.3355555555555554],[1788104752222,1.7344444444444445],[1788108357088,1.3355555555555554],[1788111955502,1.7344444444444445],[1788115550821,1.602222222222222],[1788119153676,1.3355555555555554],[1788134409415,1.7344444444444445],[1788156014839,1.3355555555555554],[1788177613957,1.3355555555555554],[1788199209372,1.3355555555555554],[1788220806954,1.3355555555555554],[1788242410153,1.468888888888889],[1788264010278,1.5874074074074074],[1788285612270,1.468888888888889],[1788307209496,1.3355555555555554],[1788328809450,1.3355555555555554],[1788350411057,1.3355555555555554],[1788372009052,1.3355555555555554],[1788393607428,1.3355555555555554],[1788415209261,2.000277777777778],[1788436815625,1.3355555555555554],[1788458444157,1.3355555555555554],[1788480037910,1.602222222222222],[1788501636991,1.3355555555555554],[1788523244684,1.468888888888889],[1788544843647,1.468888888888889],[1788566434425,1.3355555555555554],[1788588033108,1.468888888888889],[1788609656159,1.3355555555555554],[1788631256648,1.468888888888889],[1788652839601,1.3355555555555554],[1788674431834,1.468888888888889],[1788696070905,1.3355555555555554],[1788717652779,1.3355555555555554],[1788739246165,1.3355555555555554],[1788760854804,1.468888888888889],[1788782450891,1.3355555555555554],[1788804047752,1.3355555555555554],[1788825642995,1.3088888888888888],[1788847245826,1.3355555555555554],[1788890446191,1.3355555555555554],[1788912043025,1.3355555555555554],[1788933645048,1.3355555555555554],[1788955245328,1.3088888888888888],[1788976846305,1.3355555555555554],[1788998468043,1.3222222222222222],[1789020072862,1.3222222222222222],[1789041679491,1.9391111111111112],[1789063277603,1.6688888888888889],[1789084869264,1.842177777777778],[1789106464952,1.7940444444444443],[1789128049160,1.8884444444444444],[1789149640084,1.602222222222222],[1789171250977,1.9339259259259263],[1789192862242,1.602222222222222],[1789214461980,1.3222222222222222],[1789236066897,1.842222222222222],[1789257660361,1.468888888888889],[1789279260985,1.9355555555555557],[1789300862113,1.9355555555555557],[1789322477866,1.842177777777778],[1789344059160,1.7355555555555555],[1789365657586,1.842177777777778],[1789387268572,1.7355555555555555],[1789408859666,1.745377777777778],[1789430457564,1.8688888888888886],[1789452058776,1.8555555555555554],[1789473656099,1.7355555555555555],[1789495265197,1.7355555555555555],[1789516858252,2.002222222222222],[1789538408071,2.1544444444444446],[1789560015601,1.8688888888888886],[1789581620698,2.0468444444444445],[1789603205243,1.8955555555555552],[1789624808250,2.096311111111111],[1789646417999,2.096311111111111],[1789689607653,1.7341777777777778],[1789711206239,1.7352888888888889],[1789732812513,1.7352888888888889],[1789754426266,1.7352888888888889],[1789776026338,1.7352888888888889],[1789797626331,1.7352888888888889],[1789819226335,1.7352888888888889],[1789840826557,1.78962962962963],[1789862426530,1.78962962962963],[1789884026434,1.78962962962963],[1789905626335,1.78962962962963],[1789927226258,1.78962962962963],[1789948847034,1.78962962962963],[1789970446807,1.788888888888889],[1789992047995,2.0544444444444445],[1790013647476,1.7352888888888889],[1790035246516,1.7341777777777778],[1790056847212,1.7352888888888889],[1790078449534,1.7352888888888889],[1790100048494,1.7352888888888889],[1790143248633,2.097422222222222],[1790164851263,2.097422222222222],[1790186449644,2.2674074074074073],[1790208050429,1.7375111111111112],[1790229650644,2.268148148148148],[1790251259667,2.099644444444444],[1790272851982,1.7375111111111112],[1790294448813,1.7352888888888889],[1790316050319,1.78962962962963],[1790337657984,1.78962962962963],[1790359250435,1.78962962962963],[1790380847520,2.9072222222222224],[1790402453962,1.9744444444444442],[1790424064323,1.9744444444444442],[1790445666666,2.097422222222222],[1790467269181,2.0011111111111113],[1790488854277,2.097422222222222],[1790510463987,1.9344444444444446],[1790532077695,1.8677777777777775],[1790553659068,1.8688888888888886],[1790575253884,1.8677777777777775],[1790596865149,1.8688888888888886],[1790618468022,2.097422222222222],[1790640062074,2.402222222222222],[1790661657487,1.868148148148148],[1790683255847,1.9034222222222221],[1790704858086,1.4677777777777778],[1790726452103,1.9881481481481482],[1790748057066,1.4677777777777778],[1790769664490,1.787777777777778],[1790791258171,2.2693333333333334],[1790812853389,2.1355555555555554],[1790834465290,2.134074074074074],[1790856055170,1.6009259259259259],[1790877655094,1.6009259259259259],[1790899248980,1.6018518518518516],[1790920853667,1.6018518518518516],[1790964063289,1.6009259259259259],[1790985657168,1.6009259259259259],[1791007253597,1.6018518518518516],[1791028870283,1.6018518518518516],[1791050467313,1.6018518518518516],[1791072063484,1.6009259259259259],[1791093657300,1.8685817960337567],[1791115256802,2.2674074074074073],[1791180055323,1.9762962962962962],[1791201668472,4.00037037037037],[1791223267512,1.7872222222222225],[1791244858597,1.7869444444444447],[1791266466794,1.7869444444444447],[1791288062344,1.787777777777778],[1791309664995,1.787777777777778],[1791331256791,1.787777777777778],[1791352868795,1.681111111111111],[1791374483823,1.6805555555555556],[1791396072182,1.480277777777778],[1791417672110,1.4811111111111113],[1791439258799,1.4811111111111113],[1791460889341,1.4805555555555558],[1791482485545,1.4805555555555558],[1791504059406,1.4805555555555558],[1791525655409,1.801111111111111],[1791547270947,1.801111111111111],[1791590457018,1.801111111111111],[1791612065901,1.6805555555555556],[1791633677760,1.681111111111111],[1791655291638,1.681111111111111],[1791676860128,1.681111111111111],[1791698455704,1.681111111111111],[1791720057940,1.561111111111111],[1791741662382,1.8022222222222222],[1791763259489,1.801111111111111],[1791784856653,1.801111111111111],[1791806459838,1.801111111111111],[1791828063168,1.787777777777778],[1791849656721,1.787777777777778],[1791871265452,1.9211111111111112],[1791892911677,1.787777777777778],[1791936070050,1.9222222222222223],[1791957668007,2.1611111111111114],[1791979269848,2.1344444444444446],[1792000885352,1.9211111111111112],[1792022469859,1.9222222222222223],[1792044072151,1.9222222222222223],[1792065680628,1.9222222222222223],[1792087282016,2.1744444444444446],[1792108866239,2.136296296296296],[1792130467950,2.400185185185185],[1792152073796,2.1611111111111114],[1792173681193,2.160555555555556],[1792195260132,2.160555555555556],[1792216852303,2.1344444444444446],[1792238449716,2.1344444444444446],[1792260050932,1.787777777777778],[1792281650640,1.787777777777778],[1792303253793,1.787777777777778],[1792324852960,1.7872222222222225],[1792346449482,1.920277777777778],[1792368049380,1.9222222222222223],[1792389664948,1.9222222222222223],[1792411204674,1.920277777777778],[1792432807176,1.920277777777778],[1792454406736,2.1344444444444446],[1792476004901,1.920277777777778],[1792497604716,1.7872222222222225],[1792519205070,2.202222222222222],[1792540805178,2.4003703703703705],[1792562410566,2.122962962962963],[1792627220727,2.136296296296296],[1792648811086,2.4002222222222223],[1792670444264,4.0001851851851855],[1792692044076,2.400185185185185],[1792713640545,1.787777777777778],[1792735241409,1.787777777777778],[1792800039919,1.787777777777778],[1792821641738,1.7872222222222225],[1792843241692,2.1344444444444446],[1792864839629,2.4007407407407406],[1792886438832,2.1348148148148147],[1792908042664,1.9342222222222223],[1792929639695,1.9331111111111112],[1792951240610,1.787777777777778],[1792972839416,1.8258518518518518],[1792994440795,1.9342222222222223],[1793016037825,1.9342222222222223],[1793037639515,2.4003703703703705],[1793059243286,2.4007407407407406],[1793080837607,2.4007407407407406],[1793102419828,2.1444444444444444],[1793124019928,1.9331111111111112],[1793145620213,1.6835555555555552],[1793167219818,1.9342222222222223],[1793188831487,1.9342222222222223],[1793210426007,1.9342222222222223],[1793232026857,1.9342222222222223],[1793253614944,1.787777777777778],[1793275219011,1.9342222222222223],[1793296812038,1.9342222222222223],[1793318415497,1.9331111111111112],[1793340010433,1.9342222222222223],[1793361614338,1.9342222222222223],[1793383220450,1.9342222222222223],[1793404820468,1.9342222222222223],[1793426420392,1.9342222222222223],[1793448020388,1.9342222222222223],[1793469620380,1.9342222222222223],[1793491220386,1.9342222222222223],[1793512820393,1.9342222222222223],[1793534420458,1.787777777777778],[1793556020374,2.1355555555555554],[1793577620396,1.937777777777778],[1793599220386,2.400185185185185],[1793620820416,1.787777777777778]],"range":{"min":0.28022222222222226,"max":4.00037037037037,"n":486},"meta":{"offersScanned":64,"h100Location":"Thailand, TH","rtx4090UsdPerHr":0.1348},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"openrouter-price-longctx":{"id":"openrouter-price-longctx","kind":"metric","value":0.5,"at":"2026-11-02T12:00:20.416Z","fetchedAt":"2026-11-02T12:00:20.416Z","delta":0,"series":[[1788415209261,0.5],[1788436815625,0.5],[1788458444157,0.5],[1788480037910,0.5],[1788501636991,0.55],[1788523244684,0.55],[1788544843647,0.5],[1788566434425,0.55],[1788588033108,0.55],[1788609656159,0.55],[1788631256648,0.55],[1788652839601,0.55],[1788674431834,0.55],[1788696070905,0.55],[1788717652779,0.55],[1788739246165,0.55],[1788760854804,0.5],[1788782450891,0.5],[1788804047752,0.55],[1788825642995,0.55],[1788847245826,0.5],[1788868845026,0.55],[1788890446191,0.55],[1788912043025,0.55],[1788933645048,0.55],[1788955245328,0.55],[1788976846305,0.55],[1788998468043,0.55],[1789020072862,0.5],[1789041679491,0.5],[1789063277603,0.5],[1789084869264,0.5],[1789106464952,0.55],[1789128049160,0.55],[1789149640084,0.55],[1789171250977,0.55],[1789192862242,0.55],[1789214461980,0.55],[1789236066897,0.55],[1789257660361,0.5],[1789279260985,0.5],[1789300862113,0.5],[1789322477866,0.5],[1789344059160,0.5],[1789365657586,0.5],[1789387268572,0.5],[1789408859666,0.5],[1789430457564,0.5],[1789452058776,0.5],[1789473656099,0.5],[1789495265197,0.5],[1789516858252,0.5],[1789538408071,0.5],[1789560015601,0.5],[1789581620698,0.5],[1789603205243,0.5],[1789624808250,0.5],[1789646417999,0.5],[1789668016374,0.5],[1789689607653,0.5],[1789711206239,0.5],[1789732812513,0.5],[1789754426266,0.5],[1789776026338,0.5],[1789797626331,0.5],[1789819226335,0.5],[1789840826557,0.5],[1789862426530,0.5],[1789884026434,0.5],[1789905626335,0.5],[1789927226258,0.5],[1789948847034,0.5],[1789970446807,0.5],[1789992047995,0.5],[1790013647476,0.5],[1790035246516,0.5],[1790056847212,0.5],[1790078449534,0.5],[1790100048494,0.5],[1790121647034,0.5],[1790143248633,0.5],[1790164851263,0.5],[1790186449644,0.5],[1790208050429,0.5],[1790229650644,0.5],[1790251259667,0.5],[1790272851982,0.5],[1790294448813,0.5],[1790316050319,0.5],[1790337657984,0.5],[1790359250435,0.5],[1790380847520,0.5],[1790402453962,0.5],[1790424064323,0.5],[1790445666666,0.5],[1790467269181,0.5],[1790488854277,0.5],[1790510463987,0.5],[1790532077695,0.5],[1790553659068,0.5],[1790575253884,0.5],[1790596865149,0.5],[1790618468022,0.5],[1790640062074,0.5],[1790661657487,0.5],[1790683255847,0.5],[1790704858086,0.5],[1790726452103,0.5],[1790748057066,0.5],[1790769664490,0.5],[1790791258171,0.5],[1790812853389,0.5],[1790834465290,0.5],[1790856055170,0.5],[1790877655094,0.5],[1790899248980,0.5],[1790920853667,0.5],[1790942455079,0.5],[1790964063289,0.5],[1790985657168,0.5],[1791007253597,0.5],[1791028870283,0.5],[1791050467313,0.5],[1791072063484,0.5],[1791093657300,0.5],[1791115256802,0.5],[1791180055323,0.5],[1791201668472,0.5],[1791223267512,0.5],[1791244858597,0.5],[1791266466794,0.5],[1791288062344,0.5],[1791309664995,0.5],[1791331256791,0.5],[1791352868795,0.5],[1791374483823,0.5],[1791396072182,0.5],[1791417672110,0.49],[1791439258799,0.5],[1791460889341,0.5],[1791482485545,0.5],[1791504059406,0.5],[1791525655409,0.5],[1791547270947,0.5],[1791568870285,0.5],[1791590457018,0.5],[1791612065901,0.5],[1791633677760,0.5],[1791655291638,0.5],[1791676860128,0.5],[1791698455704,0.5],[1791720057940,0.5],[1791741662382,0.5],[1791763259489,0.5],[1791784856653,0.5],[1791806459838,0.5],[1791828063168,0.5],[1791849656721,0.5],[1791871265452,0.55],[1791892911677,0.55],[1791914511333,0.5],[1791936070050,0.55],[1791957668007,0.55],[1791979269848,0.536],[1792000885352,0.5],[1792022469859,0.5],[1792044072151,0.5],[1792065680628,0.5],[1792087282016,0.5],[1792108866239,0.5],[1792130467950,0.5],[1792152073796,0.5],[1792173681193,0.5],[1792195260132,0.5],[1792216852303,0.5],[1792238449716,0.5],[1792260050932,0.5],[1792281650640,0.5],[1792303253793,0.5],[1792324852960,0.5],[1792346449482,0.5],[1792368049380,0.5],[1792389664948,0.5],[1792411204674,0.5],[1792432807176,0.5],[1792454406736,0.5],[1792476004901,0.5],[1792497604716,0.5],[1792519205070,0.5],[1792540805178,0.5],[1792562410566,0.5],[1792584012227,0.5],[1792605608919,0.5],[1792627220727,0.5],[1792648811086,0.5],[1792670444264,0.5],[1792692044076,0.5],[1792713640545,0.5],[1792735241409,0.5],[1792756837531,0.5],[1792778440001,0.5],[1792800039919,0.5],[1792821641738,0.5],[1792843241692,0.5],[1792864839629,0.5],[1792886438832,0.5],[1792908042664,0.5],[1792929639695,0.5],[1792951240610,0.5],[1792972839416,0.5],[1792994440795,0.5],[1793016037825,0.5],[1793037639515,0.5],[1793059243286,0.54],[1793080837607,0.54],[1793102419828,0.54],[1793124019928,0.54],[1793145620213,0.5],[1793167219818,0.5],[1793188831487,0.5],[1793210426007,0.5],[1793232026857,0.5],[1793253614944,0.5],[1793275219011,0.5],[1793296812038,0.5],[1793318415497,0.5],[1793340010433,0.5],[1793361614338,0.5],[1793383220450,0.5],[1793404820468,0.5],[1793426420392,0.5],[1793448020388,0.5],[1793469620380,0.5],[1793491220386,0.5],[1793512820393,0.5],[1793534420458,0.5],[1793556020374,0.5],[1793577620396,0.5],[1793599220386,0.5],[1793620820416,0.5]],"range":{"min":0.49,"max":0.55,"n":240},"meta":{"n":389,"cheapest":"z-ai/glm-5.2 @ $0.006","dearest":"openai/gpt-5.4-pro @ $30.00","contextFloor":128000},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"npm-ai-sdk-downloads":{"id":"npm-ai-sdk-downloads","kind":"metric","value":194573832,"at":"2026-10-29T23:59:59.000Z","fetchedAt":"2026-11-02T00:00:20.396Z","delta":692165,"series":[[1780876800000,79338369],[1780963200000,80322036],[1781049600000,81636533],[1781136000000,82580869],[1781222400000,83367624],[1781308800000,83236608],[1781395200000,82820647],[1781481600000,83076985],[1781568000000,83682824],[1781654400000,83974175],[1781740800000,84032419],[1781827200000,83094551],[1781913600000,84334392],[1782000000000,86972252],[1782086400000,87625559],[1782172800000,87241278],[1782259200000,87236785],[1782345600000,87242367],[1782432000000,87378631],[1782518400000,85495261],[1782604800000,82594288],[1782691200000,81945225],[1782777600000,81123206],[1782864000000,80767443],[1784764800000,94685351],[1784851200000,95645911],[1784937600000,95944783],[1785024000000,96291788],[1785110400000,97869820],[1785196800000,98480146],[1785283200000,98729930],[1785369600000,99756991],[1785456000000,100625435],[1785542400000,101702825],[1785628800000,102813552],[1785715200000,103768512],[1785801600000,104296395],[1785888000000,105339352],[1785974400000,102509326],[1786060800000,103424761],[1786147200000,102673560],[1786233600000,102700436],[1786320000000,103254450],[1786406400000,95000667],[1786492800000,95849623],[1786579200000,100751713],[1786665600000,83973806],[1786752000000,85234466],[1786838400000,86243107],[1786924800000,86063250],[1787011200000,96000275],[1787097600000,96417431],[1787184000000,96401947],[1787270400000,114370839],[1787356800000,114814010],[1787443200000,114898027],[1787529600000,117737234],[1787616000000,120546831],[1787702400000,122148226],[1787788800000,123843026],[1787875200000,125518945],[1787961600000,126578568],[1788048000000,128480567],[1788134400000,129070891],[1788220800000,129239931],[1788307200000,124995171],[1788393600000,104030709],[1788480000000,112982090],[1788566400000,114991835],[1788652800000,115819556],[1788739200000,95207111],[1788825600000,72764065],[1788912000000,72981491],[1788998400000,97165835],[1789084800000,97662466],[1789171200000,97332324],[1789257600000,97044528],[1789344000000,120186848],[1789430400000,120186848],[1789516800000,120339965],[1789603200000,119351867],[1789689600000,118732559],[1789776000000,117397881],[1789862400000,116642727],[1789948800000,115135637],[1790035200000,139606393],[1790121600000,142086119],[1790208000000,144570789],[1790294400000,147100975],[1790380800000,149294800],[1790467200000,151728079],[1790553600000,156387000],[1790640000000,160320756],[1790726400000,162150740],[1790812800000,165448988],[1790899200000,167926586],[1790985600000,170145473],[1791072000000,172255596],[1791158400000,172485929],[1791244800000,144081417],[1791331200000,145448284],[1791417600000,147823496],[1791504000000,148150446],[1791590400000,148474442],[1791676800000,148520687],[1791763200000,148838540],[1791849600000,148838540],[1791936000000,119236120],[1792022400000,87881744],[1792108800000,89435138],[1792195200000,88799957],[1792281600000,88391117],[1792368000000,61548780],[1792454400000,61548780],[1792540800000,61548780],[1792627200000,93911190],[1792713600000,95977988],[1792800000000,97637890],[1792886400000,98710324],[1792972800000,129317390],[1793059200000,161154394],[1793145600000,193881667],[1793232000000,194573832]],"range":{"min":61548780,"max":194573832,"n":123},"meta":{"packages":5,"openai":55491198,"@google/genai":29855861,"@anthropic-ai/sdk":63186464,"langchain":4151182,"ai":41889127},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"ai-incidents":{"id":"ai-incidents","kind":"events","items":[{"id":"OpenAI:01M6754SR14HCQ3E9FX426E2N7","at":"2026-10-30T19:38:47.000Z","title":"OpenAI — Elevated errors with search in Dots, ChatGPT Work, and certain ChatGPT thinking experiences","url":"https://status.openai.com/incidents/01M6754SR14HCQ3E9FX426E2N7","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M66KSDH67V5BQ73PE8AD2W8S","at":"2026-10-30T14:35:28.000Z","title":"OpenAI — Elevated errors for GPT Image 2 API image edits","url":"https://status.openai.com/incidents/01M66KSDH67V5BQ73PE8AD2W8S","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:phg1y2yh07n2","at":"2026-10-28T16:19:09.935Z","title":"Anthropic — Elevated errors affecting the Google Calendar connector","url":"https://stspg.io/75qq31h8672d","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:9ftx658xtd5z","at":"2026-10-28T03:59:32.227Z","title":"Anthropic — Elevated errors affecting the Gmail connector","url":"https://stspg.io/j86c100s8tqm","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:lqhknfdjrcst","at":"2026-10-27T15:09:08.926Z","title":"Anthropic — Elevated errors for Claude Sonnet 5.5","url":"https://stspg.io/39x7qh3sd7bd","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M5YY4A3TQETEQ53DVSK8SW10","at":"2026-10-27T15:02:15.000Z","title":"OpenAI — 6.1 Sol Degraded Model Performance","url":"https://status.openai.com/incidents/01M5YY4A3TQETEQ53DVSK8SW10","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:0q89dylg9vjk","at":"2026-10-27T09:14:35.040Z","title":"Anthropic — Elevated errors for Claude Sonnet 5.5","url":"https://stspg.io/rql9h590npxd","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M5Y60NQGGN514EB3943V94EN","at":"2026-10-27T08:00:50.000Z","title":"OpenAI — Elevated error rates for most hosted Code Reviews and Security Reviews on private GitHub repositories","url":"https://status.openai.com/incidents/01M5Y60NQGGN514EB3943V94EN","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M5WPZTT0385GMEV1353ZC4AM","at":"2026-10-26T18:19:00.000Z","title":"OpenAI — Elevated error rates for Ads POST requests","url":"https://status.openai.com/incidents/01M5WPZTT0385GMEV1353ZC4AM","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:vx06kp8wfpq2","at":"2026-10-25T08:17:08.277Z","title":"Anthropic — Elevated errors for Claude Fable 5.1","url":"https://stspg.io/y0gkl12ztjst","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:334jvgbrc4ff","at":"2026-10-25T06:14:18.088Z","title":"Anthropic — Elevated errors for Claude Sonnet 5.5 and other models","url":"https://stspg.io/s3wd6gmdsdhn","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:0ns5clsk8p2x","at":"2026-10-24T05:16:50.579Z","title":"Anthropic — Elevated errors for Claude Fable 5 and Claude Fable 5.1","url":"https://stspg.io/7n1wgb6qsfly","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:3cqf3pmlnr96","at":"2026-10-24T00:31:37.594Z","title":"Anthropic — Elevated errors for Claude Opus 5.5","url":"https://stspg.io/dmn3bc440bnb","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:h101vcmhnfky","at":"2026-10-23T23:37:42.659Z","title":"Anthropic — Elevated errors for Claude Fable 5.1, Sonnet 5.5, and Haiku 5.5","url":"https://stspg.io/gqp288t3qzpt","severity":"critical","meta":{"status":"resolved","impact":"critical"}},{"id":"OpenAI:01M5NFF94XCJ6CGTD4S78A9BEB","at":"2026-10-23T22:52:56.000Z","title":"OpenAI — Degraded experience with ChatGPT app connections using CIMD","url":"https://status.openai.com/incidents/01M5NFF94XCJ6CGTD4S78A9BEB","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5NAR5GZC5M7D0S7AQ6CGEEN","at":"2026-10-23T21:30:25.000Z","title":"OpenAI — Help Center Chat Support Degraded","url":"https://status.openai.com/incidents/01M5NAR5GZC5M7D0S7AQ6CGEEN","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M5KDJ4079XQTZDSRX40NMN6H","at":"2026-10-23T03:41:03.000Z","title":"OpenAI — Delays in customer support responses","url":"https://status.openai.com/incidents/01M5KDJ4079XQTZDSRX40NMN6H","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M5JHVJVC8WAXB4WRYFMKG6HP","at":"2026-10-22T19:36:53.000Z","title":"OpenAI — New Ad Accounts failing to provision admins","url":"https://status.openai.com/incidents/01M5JHVJVC8WAXB4WRYFMKG6HP","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5JF8DR3EGQJNTXPZ24AKX2G","at":"2026-10-22T18:51:28.000Z","title":"OpenAI — Degraded Performance of Dots on Enterprise","url":"https://status.openai.com/incidents/01M5JF8DR3EGQJNTXPZ24AKX2G","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:wj6r4t6mxq1r","at":"2026-10-22T03:50:12.621Z","title":"Anthropic — Elevated errors affecting Connectors","url":"https://stspg.io/4dcr8c005yxc","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5GPE9C4E19HE461P8JAMYXD","at":"2026-10-22T02:18:32.000Z","title":"OpenAI — Elevated ChatGPT conversation and Responses API errors","url":"https://status.openai.com/incidents/01M5GPE9C4E19HE461P8JAMYXD","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5G9QQ9V4CYDWFRYF9BWZ5GG","at":"2026-10-21T22:36:29.000Z","title":"OpenAI — Authentication errors for some users","url":"https://status.openai.com/incidents/01M5G9QQ9V4CYDWFRYF9BWZ5GG","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:njk29r81v3wg","at":"2026-10-21T19:49:06.486Z","title":"Anthropic — Degraded performance for Claude Fable 5","url":"https://stspg.io/cgklr4v2sgkh","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5FHKHPQJMSHCE2B2WDPZW2N","at":"2026-10-21T15:34:47.000Z","title":"OpenAI — Elevated error rates for gpt-5.6-luna API requests","url":"https://status.openai.com/incidents/01M5FHKHPQJMSHCE2B2WDPZW2N","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5FD63HHDRPQPM5YMQWJ5HTN","at":"2026-10-21T14:17:32.000Z","title":"OpenAI — Elevated FedRAMP API error rates for Astra and Sol","url":"https://status.openai.com/incidents/01M5FD63HHDRPQPM5YMQWJ5HTN","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5E4G39TD1BW1QWHZG6RFA5H","at":"2026-10-21T02:26:28.000Z","title":"OpenAI — Degraded performance in ChatGPT, Codex, and APIs","url":"https://status.openai.com/incidents/01M5E4G39TD1BW1QWHZG6RFA5H","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M5A5S1ATN3QB2WCHQ3VDZC81","at":"2026-10-19T13:31:52.000Z","title":"OpenAI — File Download errors","url":"https://status.openai.com/incidents/01M5A5S1ATN3QB2WCHQ3VDZC81","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M506BA4XRSWH7THR53HQGN3Z","at":"2026-10-15T16:29:26.000Z","title":"OpenAI — Widespread feature degradation","url":"https://status.openai.com/incidents/01M506BA4XRSWH7THR53HQGN3Z","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M4XNQX7C6RCBNGX9H711WFSG","at":"2026-10-14T17:00:44.000Z","title":"OpenAI — Delayed Costs data in the Compliance API","url":"https://status.openai.com/incidents/01M4XNQX7C6RCBNGX9H711WFSG","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4WYPP5QA0CJ3JV76KH285K8","at":"2026-10-14T10:18:07.000Z","title":"OpenAI — Limited availability on gpt-image-2.5-flare and gpt-image-2.5-sunburst","url":"https://status.openai.com/incidents/01M4WYPP5QA0CJ3JV76KH285K8","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4WKPE1EY48ZB4RZJ80YH7ES","at":"2026-10-14T07:05:44.000Z","title":"OpenAI — Degraded performance in Codex and ChatGPT Work","url":"https://status.openai.com/incidents/01M4WKPE1EY48ZB4RZJ80YH7ES","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4T4ZCM54D3ZPTQXRSWFG0XS","at":"2026-10-13T08:10:00.000Z","title":"OpenAI — Degraded performance in GPT-6.1 Sol Codex and Work mode","url":"https://status.openai.com/incidents/01M4T4ZCM54D3ZPTQXRSWFG0XS","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4HA7BCCXVHTR5DCYMSBQF2H","at":"2026-10-09T21:48:34.000Z","title":"OpenAI — Workspace admins may be unable to manage plugins","url":"https://status.openai.com/incidents/01M4HA7BCCXVHTR5DCYMSBQF2H","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M4H7FKXDA425TDNP2CRGEYA3","at":"2026-10-09T21:00:39.000Z","title":"OpenAI — Some ChatGPT content may be unavailable on Android","url":"https://status.openai.com/incidents/01M4H7FKXDA425TDNP2CRGEYA3","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M4GV1M2A3K38T73JCVCD9G0R","at":"2026-10-09T17:23:18.000Z","title":"OpenAI — Delayed Costs data in the Compliance API","url":"https://status.openai.com/incidents/01M4GV1M2A3K38T73JCVCD9G0R","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4CR8GCAFC1RYQXZDXAZP2VT","at":"2026-10-08T03:17:40.000Z","title":"OpenAI — Some APAC users are seeing errors in ChatGPT Work, conversations, and GPTs.","url":"https://status.openai.com/incidents/01M4CR8GCAFC1RYQXZDXAZP2VT","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4CBXZ62A9SVH8D74KVYQC8M","at":"2026-10-07T23:42:12.000Z","title":"OpenAI — Elevated errors with GPT-5.6 Instant in FedRAMP workspaces","url":"https://status.openai.com/incidents/01M4CBXZ62A9SVH8D74KVYQC8M","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:vmys9qn874h4","at":"2026-10-07T21:23:29.599Z","title":"Anthropic — Issue with spend limits","url":"https://stspg.io/frlrjsqqn605","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M4BP5JE7DKJSP3VG2S2DCWF2","at":"2026-10-07T17:21:52.000Z","title":"OpenAI — Degraded performance in Codex and Work mode: Dot turn failures, delayed responses, and reduced proactivity","url":"https://status.openai.com/incidents/01M4BP5JE7DKJSP3VG2S2DCWF2","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M4BK9J2M83R4SSC71D9FXW45","at":"2026-10-07T16:31:37.000Z","title":"OpenAI — Dot in Codex may fail to create new threads","url":"https://status.openai.com/incidents/01M4BK9J2M83R4SSC71D9FXW45","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:978mjkgw6mh7","at":"2026-10-07T13:25:04.155Z","title":"Anthropic — Elevated errors on platform.claude.com","url":"https://stspg.io/sjkw7njwf0mt","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M4ADHMMBK7K92NJFJ0DXRYJM","at":"2026-10-07T05:31:56.000Z","title":"OpenAI — Unable to create new ChatGPT Work threads in latest version of desktop app","url":"https://status.openai.com/incidents/01M4ADHMMBK7K92NJFJ0DXRYJM","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:wf2v8ms031sx","at":"2026-10-07T01:20:26.673Z","title":"Anthropic — Elevated errors loading usage data on platform.claude.com","url":"https://stspg.io/scdhhnplc2jn","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M49YQE6WZT02WYF0KBXVMQ5G","at":"2026-10-07T01:12:57.000Z","title":"OpenAI — Workspace Agents Degraded and Responses Impacted","url":"https://status.openai.com/incidents/01M49YQE6WZT02WYF0KBXVMQ5G","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M493CZ0CB14KPC0EER83MNVB","at":"2026-10-06T17:15:23.000Z","title":"OpenAI — Computer Use Is Experiencing Issues","url":"https://status.openai.com/incidents/01M493CZ0CB14KPC0EER83MNVB","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M48Y8E81QAFF9XKVGE118E6X","at":"2026-10-06T15:45:31.000Z","title":"OpenAI — Errors processing large PDFs in the Responses API","url":"https://status.openai.com/incidents/01M48Y8E81QAFF9XKVGE118E6X","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M48PT6B8SDTW023NC9XZTBC0","at":"2026-10-06T13:35:25.000Z","title":"OpenAI — Elevated error rates in ChatGPT Go conversations","url":"https://status.openai.com/incidents/01M48PT6B8SDTW023NC9XZTBC0","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:ch27pb90bn85","at":"2026-10-06T12:24:32.621Z","title":"Anthropic — Elevated errors for Claude Opus 5.5","url":"https://stspg.io/bzc81gbv1b99","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M47HC9SGHGFPBN44KGC6SKAQ","at":"2026-10-06T02:41:12.000Z","title":"OpenAI — Elevated errors affecting multiple products including ChatGPT (conversations), Image generations, Spaces and Pages, API rehydration, and Dots.","url":"https://status.openai.com/incidents/01M47HC9SGHGFPBN44KGC6SKAQ","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M47AFBNRNXKJWN549T3PMYV8","at":"2026-10-06T00:40:32.000Z","title":"OpenAI — Elevated errors in API Platform login and administration APIs.","url":"https://status.openai.com/incidents/01M47AFBNRNXKJWN549T3PMYV8","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M46KED6KQ6PR195KZYYVNY8W","at":"2026-10-05T17:58:04.000Z","title":"OpenAI — Elevated error rates in Codex Cloud","url":"https://status.openai.com/incidents/01M46KED6KQ6PR195KZYYVNY8W","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M46G248GGHV9RSAJE82BZY1X","at":"2026-10-05T16:58:56.000Z","title":"OpenAI — Elevated errors in ChatGPT conversations","url":"https://status.openai.com/incidents/01M46G248GGHV9RSAJE82BZY1X","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M46C47WYYD9NMZVGH83X3ZR1","at":"2026-10-05T15:50:11.000Z","title":"OpenAI — Admin Console Intermittently Inaccessible","url":"https://status.openai.com/incidents/01M46C47WYYD9NMZVGH83X3ZR1","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"Anthropic:bhphxz3vr58g","at":"2026-10-05T13:05:44.480Z","title":"Anthropic — Elevated errors for Claude Mythos 5.1 and Claude Fable 5.1","url":"https://stspg.io/wdqhxt8xt574","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M461GYDMCVJJK8330PVCH42C","at":"2026-10-05T12:44:53.000Z","title":"OpenAI — Issues saving and editing Pages","url":"https://status.openai.com/incidents/01M461GYDMCVJJK8330PVCH42C","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M45E0JFFJZ6EQ3BWYPW74R2Z","at":"2026-10-05T07:03:53.000Z","title":"OpenAI — Elevated Work Mode errors","url":"https://status.openai.com/incidents/01M45E0JFFJZ6EQ3BWYPW74R2Z","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3YNNVTSCXS8YM2V1YMHMVSE","at":"2026-10-02T16:03:10.000Z","title":"OpenAI — Issues with data analysis and file creation in ChatGPT","url":"https://status.openai.com/incidents/01M3YNNVTSCXS8YM2V1YMHMVSE","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3WCKTAN41RZ01SBRRTY4AYM","at":"2026-10-01T18:46:17.000Z","title":"OpenAI — Issues with login, signup, and ads","url":"https://status.openai.com/incidents/01M3WCKTAN41RZ01SBRRTY4AYM","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:k0h22tsvnydg","at":"2026-10-01T16:20:40.767Z","title":"Anthropic — Delayed credits on the Claude Platform","url":"https://stspg.io/jg26d0skzh27","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3SMF1Q0TDCQVNYSXYG37QMR","at":"2026-09-30T17:05:46.000Z","title":"OpenAI — Elevated latency for some API requests","url":"https://status.openai.com/incidents/01M3SMF1Q0TDCQVNYSXYG37QMR","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3RDNY37CAPQGRKPBVMNRT4K","at":"2026-09-30T05:47:57.000Z","title":"OpenAI — Elevated error rates for ChatGPT Pro and Plus users","url":"https://status.openai.com/incidents/01M3RDNY37CAPQGRKPBVMNRT4K","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3R1T4FCR1337FBBYY9K2RPB","at":"2026-09-30T02:20:32.000Z","title":"OpenAI — Elevated errors in ChatGPT Space Pages","url":"https://status.openai.com/incidents/01M3R1T4FCR1337FBBYY9K2RPB","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3Q4RK1SM4EMK445GGPG7C0N","at":"2026-09-29T17:52:52.000Z","title":"OpenAI — Elevated errors across ChatGPT, Codex, and the API including the Agents API","url":"https://status.openai.com/incidents/01M3Q4RK1SM4EMK445GGPG7C0N","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M3Q4HMNP8SZ27DTZKW6F5BJ4","at":"2026-09-29T17:49:05.000Z","title":"OpenAI — Support available via email","url":"https://status.openai.com/incidents/01M3Q4HMNP8SZ27DTZKW6F5BJ4","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"Anthropic:4xvtc2gnq73l","at":"2026-09-29T14:21:37.180Z","title":"Anthropic — Elevated errors on claude.ai, Claude Code, Claude Cowork and the Claude API","url":"https://stspg.io/br61xzj05pp5","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M3DCNWMW57HYK8FJ5FBFPA39","at":"2026-09-25T22:58:48.000Z","title":"OpenAI — Issues with Codex ","url":"https://status.openai.com/incidents/01M3DCNWMW57HYK8FJ5FBFPA39","severity":"critical","meta":{"status":"resolved","impact":"critical"}},{"id":"OpenAI:01M3ACKDE4GYY67FXXNRRSC0CE","at":"2026-09-24T18:59:44.000Z","title":"OpenAI — Elevated Error Rates on GPT-6 Astra Pro","url":"https://status.openai.com/incidents/01M3ACKDE4GYY67FXXNRRSC0CE","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M389CDQ97B11QPMSRAAYSE5S","at":"2026-09-23T23:25:00.000Z","title":"OpenAI — Mobile users unable to see Work Mode and the Model Picker","url":"https://status.openai.com/incidents/01M389CDQ97B11QPMSRAAYSE5S","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M36RMC01ZFWQ861WYJKC4XE1","at":"2026-09-23T09:13:00.000Z","title":"OpenAI — Elevated Error Rates for ChatGPT across Plus and Pro plans.","url":"https://status.openai.com/incidents/01M36RMC01ZFWQ861WYJKC4XE1","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M34TAFM9WBGEBE3G1GBH4SE8","at":"2026-09-22T15:04:05.000Z","title":"OpenAI — Elevated Error Rates for ChatGPT Work, across Plus, Pro, Business, Enterprise and Education plans.","url":"https://status.openai.com/incidents/01M34TAFM9WBGEBE3G1GBH4SE8","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M348TX2DX7KPM9X857N4APNV","at":"2026-09-22T09:58:28.000Z","title":"OpenAI — Increased error rate for Plus and Pro users.","url":"https://status.openai.com/incidents/01M348TX2DX7KPM9X857N4APNV","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:7g1qpkyz5gxh","at":"2026-09-22T00:57:26.117Z","title":"Anthropic — Elevated errors for multiple models","url":"https://stspg.io/90s4l9yywzbk","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M2VBZB1RYSMXHZNRA25ZJ36X","at":"2026-09-18T23:00:09.000Z","title":"OpenAI — SSO sign-in and SCIM provisioning issues","url":"https://status.openai.com/incidents/01M2VBZB1RYSMXHZNRA25ZJ36X","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M2VA7X37P1ASADSNZ1CG4N4D","at":"2026-09-18T22:29:53.000Z","title":"OpenAI — Overbilling for OpenAI-hosted containers in the Agent API","url":"https://status.openai.com/incidents/01M2VA7X37P1ASADSNZ1CG4N4D","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M2V76GEPJB0HQGRA0QERRZ3T","at":"2026-09-18T21:36:41.000Z","title":"OpenAI — Delayed support responses","url":"https://status.openai.com/incidents/01M2V76GEPJB0HQGRA0QERRZ3T","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M2RMCS2HVBXGBFKEZ9RZR4FA","at":"2026-09-17T21:29:35.000Z","title":"OpenAI — We are seeing elevated error rates across API models","url":"https://status.openai.com/incidents/01M2RMCS2HVBXGBFKEZ9RZR4FA","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M2RC0WHGTX8EHDH7D60JJ7FC","at":"2026-09-17T19:03:17.000Z","title":"OpenAI — Elevated errors affecting ChatGPT Work mode","url":"https://status.openai.com/incidents/01M2RC0WHGTX8EHDH7D60JJ7FC","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M2NRHTYAM3K3M93X1D068MCY","at":"2026-09-16T18:44:32.000Z","title":"OpenAI — Elevated errors in ChatGPT Work","url":"https://status.openai.com/incidents/01M2NRHTYAM3K3M93X1D068MCY","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:t8fpw9vcshl9","at":"2026-09-16T16:18:10.728Z","title":"Anthropic — Issues with Google Play subscriptions","url":"https://stspg.io/wzwyxh4x9t39","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M2KQNE5C42NEZPX6V01NHH5W","at":"2026-09-15T23:50:32.000Z","title":"OpenAI — Elevated errors with gpt-image-2.5-flare","url":"https://status.openai.com/incidents/01M2KQNE5C42NEZPX6V01NHH5W","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M2JZR57HRQTKQGTCWG31M3AS","at":"2026-09-15T16:52:36.000Z","title":"OpenAI — Ads Manager login issues","url":"https://status.openai.com/incidents/01M2JZR57HRQTKQGTCWG31M3AS","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:6304r9jjhj34","at":"2026-09-15T09:48:23.066Z","title":"Anthropic — Intermittent error spikes for Claude Mythos 5.1 and Claude Fable 5.1","url":"https://stspg.io/x1qpycpg6ln7","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M2HYH64J2CZMZ63HEV2FCQFA","at":"2026-09-15T07:12:04.000Z","title":"OpenAI — Elevated errors from GPT-5.6 and GPT-5.6 Instant on paid plans","url":"https://status.openai.com/incidents/01M2HYH64J2CZMZ63HEV2FCQFA","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M2H3J1D6Y7RHAP49GRWGJAY0","at":"2026-09-14T23:20:41.000Z","title":"OpenAI — Degraded Performance affecting Agents API","url":"https://status.openai.com/incidents/01M2H3J1D6Y7RHAP49GRWGJAY0","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M2GA8XTS6VB3QCDEGZ0HNAQ5","at":"2026-09-14T15:58:48.000Z","title":"OpenAI — Elevated errors affecting Work Mode in ChatGPT","url":"https://status.openai.com/incidents/01M2GA8XTS6VB3QCDEGZ0HNAQ5","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M2EWYR55J47M2BPG9WC76VEG","at":"2026-09-14T02:46:48.000Z","title":"OpenAI — Elevated error rates for Codex and ChatGPT Work","url":"https://status.openai.com/incidents/01M2EWYR55J47M2BPG9WC76VEG","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M2DV6788RRSDZ5K98S5HN0A8","at":"2026-09-13T16:56:41.000Z","title":"OpenAI — Elevated errors for ChatGPT users in Europe","url":"https://status.openai.com/incidents/01M2DV6788RRSDZ5K98S5HN0A8","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M2D1CZG0862JB4JHVW56QF89","at":"2026-09-13T09:26:00.000Z","title":"OpenAI — Codex GitHub Review and Pull Request Failures","url":"https://status.openai.com/incidents/01M2D1CZG0862JB4JHVW56QF89","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M28MEQWTQJDRCRPFD9FWQ0H3","at":"2026-09-11T16:22:49.000Z","title":"OpenAI — 1% of ChatGPT Work (mobile/web) turns are failing for existing threads","url":"https://status.openai.com/incidents/01M28MEQWTQJDRCRPFD9FWQ0H3","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:t33dncr5ydvl","at":"2026-09-11T14:19:51.466Z","title":"Anthropic — Elevated errors for Claude Mythos 5.1 and Claude Fable 5.1","url":"https://stspg.io/n9n8kfcxtkfm","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M27VK1VN54RQJGJEHB5JTQJJ","at":"2026-09-11T09:08:15.000Z","title":"OpenAI — Elevated errors for GPT-5.6 Sol on the API","url":"https://status.openai.com/incidents/01M27VK1VN54RQJGJEHB5JTQJJ","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M27Q9GH7WVKNA61ZR3RDMSY5","at":"2026-09-11T07:53:08.000Z","title":"OpenAI — Elevated errors for ChatGPT users in Europe","url":"https://status.openai.com/incidents/01M27Q9GH7WVKNA61ZR3RDMSY5","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:2pt83vlkk7x7","at":"2026-09-10T21:43:40.209Z","title":"Anthropic — Elevated latency on the Claude API for some users","url":"https://stspg.io/hfs7749ykl14","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M26E3PPAYJMMRHX2MZJCTHMF","at":"2026-09-10T19:53:26.000Z","title":"OpenAI — Delays in customer support responses","url":"https://status.openai.com/incidents/01M26E3PPAYJMMRHX2MZJCTHMF","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M26DX2PP1AFHGJK5E4M6S2J6","at":"2026-09-10T19:49:49.000Z","title":"OpenAI — Elevated errors affecting ChatGPT Work","url":"https://status.openai.com/incidents/01M26DX2PP1AFHGJK5E4M6S2J6","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:r1pqn1kb4hvk","at":"2026-09-10T15:54:10.000Z","title":"Anthropic — Degraded functionality for Claude Cowork on Windows","url":"https://stspg.io/5yp3rhhztm30","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M24HYC9SX2Q4471EVMY6EXQE","at":"2026-09-10T02:21:57.000Z","title":"OpenAI — Unable to open shared ChatGPT Project using direct link","url":"https://status.openai.com/incidents/01M24HYC9SX2Q4471EVMY6EXQE","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M23KG62KKK448RN434CQ64Z8","at":"2026-09-09T17:29:55.000Z","title":"OpenAI — Investigating unexpected usage limit resets","url":"https://status.openai.com/incidents/01M23KG62KKK448RN434CQ64Z8","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"OpenAI:01M23BNX5V1XT9P3NP0PX56FTN","at":"2026-09-09T15:13:14.000Z","title":"OpenAI — Increased Error Rate For Pro and Plus Plan Conversations","url":"https://status.openai.com/incidents/01M23BNX5V1XT9P3NP0PX56FTN","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M20QBACYZMK2PRCJQCBSWTYJ","at":"2026-09-08T14:39:27.000Z","title":"OpenAI — File uploads are delayed or failing","url":"https://status.openai.com/incidents/01M20QBACYZMK2PRCJQCBSWTYJ","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M20PYYYGRT9303VHAPA7YNT2","at":"2026-09-08T14:32:42.000Z","title":"OpenAI — Elevated errors for image generation","url":"https://status.openai.com/incidents/01M20PYYYGRT9303VHAPA7YNT2","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M1NKFZH5EEYEREC54HNAHY35","at":"2026-09-04T07:00:26.000Z","title":"OpenAI — Users in APAC region may face increased error in ChatGPT, Work, image generation, file upload, Voice, and Codex Cloud","url":"https://status.openai.com/incidents/01M1NKFZH5EEYEREC54HNAHY35","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M1KWEDH417T2CF44YYHZDFCR","at":"2026-09-03T14:58:23.000Z","title":"OpenAI — Elevated errors across ChatGPT and Codex","url":"https://status.openai.com/incidents/01M1KWEDH417T2CF44YYHZDFCR","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:461yvfrzpwtt","at":"2026-09-03T13:26:04.191Z","title":"Anthropic — Elevated errors for multiple models","url":"https://stspg.io/9xz4hhmd1jzn","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:288w7p4hk1l1","at":"2026-09-03T12:37:31.757Z","title":"Anthropic — Elevated errors for Claude Sonnet 5","url":"https://stspg.io/jt14jk41pjsf","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M1J99EDCYED5GP2W8GZ3N2NA","at":"2026-09-03T00:04:23.000Z","title":"OpenAI — ChatGPT Work Mode High Error Rates","url":"https://status.openai.com/incidents/01M1J99EDCYED5GP2W8GZ3N2NA","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:ls6bn1x81m0w","at":"2026-09-02T21:17:58.696Z","title":"Anthropic — Elevated errors for Claude Sonnet 5","url":"https://stspg.io/9dgzwz3ymz42","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M1HN7GRR6FJNWFVX2F8QMA3R","at":"2026-09-02T18:13:48.000Z","title":"OpenAI — Elevated errors creating new accounts","url":"https://status.openai.com/incidents/01M1HN7GRR6FJNWFVX2F8QMA3R","severity":"info","meta":{"status":"resolved","impact":"none"}},{"id":"Anthropic:620swtqyn24k","at":"2026-09-01T23:26:48.984Z","title":"Anthropic — Delays in credit purchases","url":"https://stspg.io/jc510qy51bfh","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:3g3d55q6vk3h","at":"2026-09-01T17:05:11.451Z","title":"Anthropic — Degraded performance on platform.claude.com and Claude for Microsoft Office 365","url":"https://stspg.io/4rf459q4pjc3","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:nr3h7bw8b3k3","at":"2026-09-01T16:02:48.673Z","title":"Anthropic — Degraded performance on Claude for Microsoft Office 365","url":"https://stspg.io/k8bzm26b6sy9","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M1D6E14BQSYQA3R5CNQBB7EB","at":"2026-09-01T00:38:15.000Z","title":"OpenAI — Elevated errors in ChatGPT conversations for Free and Go plans","url":"https://status.openai.com/incidents/01M1D6E14BQSYQA3R5CNQBB7EB","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M1CYZDD84XD0H56XNEV2PT98","at":"2026-08-31T22:27:56.000Z","title":"OpenAI — Elevated latency in the Responses API","url":"https://status.openai.com/incidents/01M1CYZDD84XD0H56XNEV2PT98","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:r82kdk0m7vqh","at":"2026-08-31T19:21:32.131Z","title":"Anthropic — Degraded performance on claude.ai and Claude Code","url":"https://stspg.io/gny7dn3k231b","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:9jrp5rtyzrf6","at":"2026-08-31T17:23:06.231Z","title":"Anthropic — Degraded performance on claude.ai","url":"https://stspg.io/hmpwykr9h567","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"OpenAI:01M1C5M4K0WC8PPT0Z175RJA1E","at":"2026-08-31T15:04:53.000Z","title":"OpenAI — ChatGPT Work seeing elevated errors and latency","url":"https://status.openai.com/incidents/01M1C5M4K0WC8PPT0Z175RJA1E","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"Anthropic:vr9tpk8w7zr8","at":"2026-08-28T17:22:02.368Z","title":"Anthropic — Elevated errors on Claude Code and Claude Cowork","url":"https://stspg.io/6rfby2z7stc2","severity":"serious","meta":{"status":"resolved","impact":"major"}},{"id":"OpenAI:01M1263309PD7VYV8EF95W2M2P","at":"2026-08-27T18:00:38.000Z","title":"OpenAI — Users may experience an increase in error rates in Workspace Agents and ChatGPT Work on Web and Mobile","url":"https://status.openai.com/incidents/01M1263309PD7VYV8EF95W2M2P","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:n0rlp126qf8g","at":"2026-08-24T20:11:23.924Z","title":"Anthropic — Issues logging into Claude.ai","url":"https://stspg.io/6211zbpptv0y","severity":"warning","meta":{"status":"resolved","impact":"minor"}},{"id":"Anthropic:w43j3xmngxgj","at":"2026-08-24T17:12:42.191Z","title":"Anthropic — Errors logging into Claude.ai","url":"https://stspg.io/kg59rclpfzsz","severity":"warning","meta":{"status":"resolved","impact":"minor"}}],"at":"2026-10-30T19:38:47.000Z","fetchedAt":"2026-11-02T12:00:20.416Z","meta":null,"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"},"lab-announcements":{"id":"lab-announcements","kind":"events","items":[{"id":"Hugging Face:https://huggingface.co/blog/nvidia/nemotron-halloween","at":"2026-10-30T17:57:24.000Z","title":"Hugging Face — nemotron-halloween","url":"https://huggingface.co/blog/nvidia/nemotron-halloween","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Google DeepMind:https://deepmind.google/blog/speeding-up-planning-decisions-with-ai/","at":"2026-10-30T14:18:30.000Z","title":"Google DeepMind — Speeding up planning decisions with AI","url":"https://deepmind.google/blog/speeding-up-planning-decisions-with-ai/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"OpenAI:https://openai.com/index/helping-websites-express-ai-training-preferences","at":"2026-10-30T09:30:00.000Z","title":"OpenAI — Making it easier for websites to express AI training preferences","url":"https://openai.com/index/helping-websites-express-ai-training-preferences","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/community-safety-report-and-new-protections-for-teens","at":"2026-10-30T09:00:00.000Z","title":"OpenAI — Community safety report and new protections for teens","url":"https://openai.com/index/community-safety-report-and-new-protections-for-teens","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/fair-use-benefits-everyone","at":"2026-10-30T00:00:00.000Z","title":"OpenAI — Fair use benefits everyone","url":"https://openai.com/index/fair-use-benefits-everyone","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/updated-model-spec","at":"2026-10-29T17:00:00.000Z","title":"OpenAI — An updated Model Spec for more capable and beneficial AI","url":"https://openai.com/index/updated-model-spec","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/ibm-granite/granite-switch-4-1-1","at":"2026-10-29T13:37:07.000Z","title":"Hugging Face — Granite Switch 4.1.1 — Update models like you update software","url":"https://huggingface.co/blog/ibm-granite/granite-switch-4-1-1","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Mistral AI:https://mistral.ai/news/mistral-large-4-oss/","at":"2026-10-29T12:00:07.000Z","title":"Mistral AI — Le Chonk: Built for Coders, Trusted by Defenders.","url":"https://mistral.ai/news/mistral-large-4-oss/","severity":"info","meta":{"lab":"Mistral AI"}},{"id":"OpenAI:https://openai.com/index/how-we-detect-frontier-model-misalignment","at":"2026-10-29T09:00:00.000Z","title":"OpenAI — How we detect frontier model misalignment","url":"https://openai.com/index/how-we-detect-frontier-model-misalignment","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/ropes-gray-ai-diligence","at":"2026-10-29T07:00:00.000Z","title":"OpenAI — How Ropes & Gray is developing AI for transactional diligence","url":"https://openai.com/index/ropes-gray-ai-diligence","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/announcing-project-protostar","at":"2026-10-29T00:00:00.000Z","title":"Hugging Face — Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready","url":"https://huggingface.co/blog/announcing-project-protostar","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/mistral-large4","at":"2026-10-29T00:00:00.000Z","title":"Hugging Face — Welcome Le Chonk: Mistral Large 4 on Hugging Face","url":"https://huggingface.co/blog/mistral-large4","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/anydecisionmodel","at":"2026-10-29T00:00:00.000Z","title":"Hugging Face — Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms","url":"https://huggingface.co/blog/anydecisionmodel","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/credit-saison","at":"2026-10-29T00:00:00.000Z","title":"OpenAI — Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilot","url":"https://openai.com/index/credit-saison","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google DeepMind:https://deepmind.google/blog/gemini-4-carbon-our-next-frontier-model/","at":"2026-10-28T17:00:58.000Z","title":"Google DeepMind — Gemini 4 Carbon: Our next frontier model","url":"https://deepmind.google/blog/gemini-4-carbon-our-next-frontier-model/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/nemotron-transcribe-granary","at":"2026-10-28T14:58:17.000Z","title":"Hugging Face — NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt","url":"https://huggingface.co/blog/nvidia/nemotron-transcribe-granary","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/openai-servicenow-partnership-expansion","at":"2026-10-28T13:15:00.000Z","title":"OpenAI — OpenAI and ServiceNow expand partnership across enterprise workflows","url":"https://openai.com/index/openai-servicenow-partnership-expansion","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/the-future-of-the-firm","at":"2026-10-28T10:00:00.000Z","title":"OpenAI — The future of the firm","url":"https://openai.com/index/the-future-of-the-firm","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/legora-agentic-operating-system-for-legal-work","at":"2026-10-28T09:30:00.000Z","title":"OpenAI — Legora is building the agentic operating system for legal work","url":"https://openai.com/index/legora-agentic-operating-system-for-legal-work","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/legora","at":"2026-10-28T09:30:00.000Z","title":"OpenAI — Legora is building the agentic operating system for legal work","url":"https://openai.com/index/legora","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/LiquidAI/lfm3","at":"2026-10-27T17:16:52.000Z","title":"Hugging Face — Build specialized multimodal models with LFM3","url":"https://huggingface.co/blog/LiquidAI/lfm3","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/novelty-bench","at":"2026-10-27T16:12:42.000Z","title":"Hugging Face — Can we trust LLMs to judge whether a research idea is novel?","url":"https://huggingface.co/blog/allenai/novelty-bench","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Google DeepMind:https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/","at":"2026-10-27T16:01:38.000Z","title":"Google DeepMind — Genie 4: A new generation of world simulation","url":"https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"OpenAI:https://openai.com/index/retell-ai","at":"2026-10-27T15:00:00.000Z","title":"OpenAI — Retell uses OpenAI models to help power 100M monthly calls","url":"https://openai.com/index/retell-ai","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/oracle-apps-in-chatgpt","at":"2026-10-27T07:00:00.000Z","title":"OpenAI — OpenAI expands partnership with Oracle to bring its apps to ChatGPT","url":"https://openai.com/index/oracle-apps-in-chatgpt","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/check-point-daybreak","at":"2026-10-27T00:00:00.000Z","title":"OpenAI — How Check Point accelerates vulnerability research with Daybreak","url":"https://openai.com/index/check-point-daybreak","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/greptile-code-review-codex-astra","at":"2026-10-26T22:00:00.000Z","title":"OpenAI — Greptile takes bug detection beyond code review with GPT-6 Astra","url":"https://openai.com/index/greptile-code-review-codex-astra","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google:https://blog.google/products-and-platforms/products/education/ai-quests-polar-peaks/","at":"2026-10-26T16:00:00.000Z","title":"Google — Our newest AI Quest: Mapping the human brain","url":"https://blog.google/products-and-platforms/products/education/ai-quests-polar-peaks/","severity":"info","meta":{"lab":"Google"}},{"id":"OpenAI:https://openai.com/index/building-scientific-understanding-with-academic-communities","at":"2026-10-26T14:30:00.000Z","title":"OpenAI — Working with academic communities to build scientific understanding","url":"https://openai.com/index/building-scientific-understanding-with-academic-communities","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/gpt-6-1-sol-coderabbit-code-security","at":"2026-10-26T13:45:00.000Z","title":"OpenAI — GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases","url":"https://openai.com/index/gpt-6-1-sol-coderabbit-code-security","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/chatgpt-expanding-world-of-work","at":"2026-10-26T10:00:00.000Z","title":"OpenAI — ChatGPT’s expanding world of work","url":"https://openai.com/index/chatgpt-expanding-world-of-work","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/fanatics-streamline-fan-experience","at":"2026-10-26T07:00:00.000Z","title":"OpenAI — How Fanatics and OpenAI streamline the fan experience","url":"https://openai.com/index/fanatics-streamline-fan-experience","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/openai-cut-incident-investigation","at":"2026-10-26T07:00:00.000Z","title":"OpenAI — How Ultrafast cut incident investigation from hours to minutes at OpenAI","url":"https://openai.com/index/openai-cut-incident-investigation","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/introducing-gpt-6-1-terra","at":"2026-10-26T00:00:00.000Z","title":"OpenAI — Introducing GPT-6.1 Terra","url":"https://openai.com/index/introducing-gpt-6-1-terra","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/scaling-storage-one-billion-users-part-two","at":"2026-10-23T17:00:00.000Z","title":"OpenAI — Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)","url":"https://openai.com/index/scaling-storage-one-billion-users-part-two","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/litpivot","at":"2026-10-23T16:15:50.000Z","title":"Hugging Face — LitPivot: Developing research ideas through dynamic contextualization within the literature landscape","url":"https://huggingface.co/blog/allenai/litpivot","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/securing-our-frontier-model-training-environment","at":"2026-10-23T10:00:00.000Z","title":"OpenAI — Securing our frontier model training environment","url":"https://openai.com/index/securing-our-frontier-model-training-environment","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/openai-nask-ai-safety-security-partnership","at":"2026-10-23T00:00:00.000Z","title":"OpenAI — OpenAI and Poland’s NASK partner to advance AI safety and security","url":"https://openai.com/index/openai-nask-ai-safety-security-partnership","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/torch-neuronx-model-support","at":"2026-10-23T00:00:00.000Z","title":"Hugging Face — Does Your Model Run on AWS Trainium? Look It Up","url":"https://huggingface.co/blog/torch-neuronx-model-support","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/anima","at":"2026-10-23T00:00:00.000Z","title":"OpenAI — Anima helps clinics cut call waits by 75% with GPT-6 and GPT-Live","url":"https://openai.com/index/anima","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/microsoft/thinkingbox-training","at":"2026-10-22T22:24:34.000Z","title":"Hugging Face — Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox","url":"https://huggingface.co/blog/microsoft/thinkingbox-training","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/decisions-api","at":"2026-10-22T19:00:00.000Z","title":"OpenAI — Build more responsive apps with the Decisions API","url":"https://openai.com/index/decisions-api","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/olmoearth-v1-3","at":"2026-10-22T16:11:31.000Z","title":"Hugging Face — OlmoEarth v1.3: State-of-the-art embeddings for the whole planet","url":"https://huggingface.co/blog/allenai/olmoearth-v1-3","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Google DeepMind:https://deepmind.google/blog/beyond-tree-cover-mapping-the-worlds-forest-types/","at":"2026-10-22T14:30:24.000Z","title":"Google DeepMind — Beyond tree cover: mapping the world’s forest types","url":"https://deepmind.google/blog/beyond-tree-cover-mapping-the-worlds-forest-types/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"Hugging Face:https://huggingface.co/blog/ibm-research/granite-timeseries-ensemble-r1","at":"2026-10-22T07:51:31.000Z","title":"Hugging Face — Ensemble forecasting with IBM Granite time-series models","url":"https://huggingface.co/blog/ibm-research/granite-timeseries-ensemble-r1","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/forward-deployed-engineering-means","at":"2026-10-22T06:00:00.000Z","title":"OpenAI — What FDE means at OpenAI","url":"https://openai.com/index/forward-deployed-engineering-means","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/uber-chatgpt-work-rollout","at":"2026-10-22T00:00:00.000Z","title":"OpenAI — Uber brings ChatGPT Work to all employees with OpenAI","url":"https://openai.com/index/uber-chatgpt-work-rollout","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/broad-access-through-consistent-standards","at":"2026-10-21T21:00:00.000Z","title":"OpenAI — Broad access through consistent standards","url":"https://openai.com/index/broad-access-through-consistent-standards","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/kumo-relational","at":"2026-10-21T18:26:30.000Z","title":"Hugging Face — NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required","url":"https://huggingface.co/blog/nvidia/kumo-relational","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/microduck-isaac-lab-sim-to-real","at":"2026-10-21T17:58:42.000Z","title":"Hugging Face — Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0","url":"https://huggingface.co/blog/nvidia/microduck-isaac-lab-sim-to-real","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization","at":"2026-10-21T17:35:36.000Z","title":"Hugging Face — How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications","url":"https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/att-legal","at":"2026-10-21T17:00:00.000Z","title":"OpenAI — How AT&T is rethinking in-house legal work with OpenAI","url":"https://openai.com/index/att-legal","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/amazon/profiling-torchneuron-part-1","at":"2026-10-21T16:04:43.000Z","title":"Hugging Face — Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.","url":"https://huggingface.co/blog/amazon/profiling-torchneuron-part-1","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/ibm-granite/granite-speech-5","at":"2026-10-21T14:58:18.000Z","title":"Hugging Face — Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster","url":"https://huggingface.co/blog/ibm-granite/granite-speech-5","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/chatgpt-ads-expands-26-new-countries","at":"2026-10-21T13:00:00.000Z","title":"OpenAI — ChatGPT Ads expands to 26 new countries as over 100,000 advertisers have used the platform","url":"https://openai.com/index/chatgpt-ads-expands-26-new-countries","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Mistral AI:https://mistral.ai/news/mistral-nvidia-ai-for-industrial-engineering/","at":"2026-10-21T12:00:20.000Z","title":"Mistral AI — Mistral Advances AI for Engineering with NVIDIA","url":"https://mistral.ai/news/mistral-nvidia-ai-for-industrial-engineering/","severity":"info","meta":{"lab":"Mistral AI"}},{"id":"OpenAI:https://openai.com/index/openai-models-google-cloud","at":"2026-10-21T12:00:00.000Z","title":"OpenAI — OpenAI models are coming to Google Cloud","url":"https://openai.com/index/openai-models-google-cloud","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/simready-central-assets-robotics-ai-factories","at":"2026-10-21T10:59:42.000Z","title":"Hugging Face — Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories","url":"https://huggingface.co/blog/nvidia/simready-central-assets-robotics-ai-factories","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/coordinated-disclosure-of-critical-vulnerabilities","at":"2026-10-21T07:00:00.000Z","title":"OpenAI — Patch the Planet: global response coordination as agents uncover critical vulnerabilities","url":"https://openai.com/index/coordinated-disclosure-of-critical-vulnerabilities","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/building-chatgpt-ad-stack","at":"2026-10-21T07:00:00.000Z","title":"OpenAI — How we built ChatGPT’s novel ad stack for user trust and relevance","url":"https://openai.com/index/building-chatgpt-ad-stack","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/scaling-ai-research-for-complex-biological-data","at":"2026-10-21T04:50:00.000Z","title":"OpenAI — Using thousands of AI agents to uncover new leads in biological data","url":"https://openai.com/index/scaling-ai-research-for-complex-biological-data","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google:https://blog.google/company-news/inside-google/around-the-globe/google-asia/e-conomy-sea-report-2026/","at":"2026-10-21T04:00:00.000Z","title":"Google — Southeast Asia’s digital economy to hit $368 billion","url":"https://blog.google/company-news/inside-google/around-the-globe/google-asia/e-conomy-sea-report-2026/","severity":"info","meta":{"lab":"Google"}},{"id":"OpenAI:https://openai.com/index/empowering-cyber-defenders","at":"2026-10-21T00:00:00.000Z","title":"OpenAI — Democratic governance of frontier AI, part II: Empowering cyber defenders","url":"https://openai.com/index/empowering-cyber-defenders","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/cloudflare-cyber","at":"2026-10-21T00:00:00.000Z","title":"OpenAI — Cloudflare links vulnerability discovery to defense with OpenAI","url":"https://openai.com/index/cloudflare-cyber","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/cosmos3-h-dreams","at":"2026-10-20T18:17:47.000Z","title":"Hugging Face — NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation","url":"https://huggingface.co/blog/nvidia/cosmos3-h-dreams","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/fairstress","at":"2026-10-20T16:09:19.000Z","title":"Hugging Face — FairStress: A deeper evaluation of fairness in LLM decision-making","url":"https://huggingface.co/blog/allenai/fairstress","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/ibm-research/altk-evolve-bc","at":"2026-10-20T15:19:48.000Z","title":"Hugging Face — ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model","url":"https://huggingface.co/blog/ibm-research/altk-evolve-bc","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Mistral AI:https://mistral.ai/news/voxtral-3/","at":"2026-10-20T12:00:22.000Z","title":"Mistral AI — Voxtral 3","url":"https://mistral.ai/news/voxtral-3/","severity":"info","meta":{"lab":"Mistral AI"}},{"id":"OpenAI:https://openai.com/index/ted-taylor-restaurant","at":"2026-10-20T10:00:00.000Z","title":"OpenAI — Franchisee reconciles cash in 94% less time with ChatGPT Work","url":"https://openai.com/index/ted-taylor-restaurant","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/terminal-x","at":"2026-10-20T07:00:00.000Z","title":"OpenAI — Terminal X matches senior investor judgment 88.6% with GPT-6.1","url":"https://openai.com/index/terminal-x","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/mps-pytorch-2-15","at":"2026-10-20T00:00:00.000Z","title":"Hugging Face — MPS in PyTorch 2.15","url":"https://huggingface.co/blog/mps-pytorch-2-15","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/hf-torchtpu","at":"2026-10-20T00:00:00.000Z","title":"Hugging Face — Hugging Face ❤️ TorchTPU: TPUs, Natively","url":"https://huggingface.co/blog/hf-torchtpu","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/anylanguagemodel-1-0","at":"2026-10-20T00:00:00.000Z","title":"Hugging Face — AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms","url":"https://huggingface.co/blog/anylanguagemodel-1-0","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/openai-to-acquire-orchestra-bio","at":"2026-10-20T00:00:00.000Z","title":"OpenAI — OpenAI acquires Orchestra Bio","url":"https://openai.com/index/openai-to-acquire-orchestra-bio","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/low-resource-programming-languages","at":"2026-10-19T12:00:00.000Z","title":"OpenAI — Advancing coding in low‑resource programming languages","url":"https://openai.com/index/low-resource-programming-languages","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/hf-torchneuron","at":"2026-10-19T00:00:00.000Z","title":"Hugging Face — TorchNeuron: running HF models on AWS Trainium is easier than ever","url":"https://huggingface.co/blog/hf-torchneuron","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/itau-generative-ai","at":"2026-10-16T19:00:00.000Z","title":"OpenAI — How Itaú is building generative AI for its entire customer base","url":"https://openai.com/index/itau-generative-ai","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/scaling-indic-pretraining","at":"2026-10-16T01:44:47.000Z","title":"Hugging Face — Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline","url":"https://huggingface.co/blog/nvidia/scaling-indic-pretraining","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/reflection-beam","at":"2026-10-16T00:00:00.000Z","title":"Hugging Face — Welcome Beam: a 501B open model you can own, customize, and scale","url":"https://huggingface.co/blog/reflection-beam","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/stack-overflow-chatgpt-plugin","at":"2026-10-16T00:00:00.000Z","title":"OpenAI — Stack Overflow for Agents triples signups with ChatGPT plugin","url":"https://openai.com/index/stack-overflow-chatgpt-plugin","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/benefit-street-partners","at":"2026-10-16T00:00:00.000Z","title":"OpenAI — Benefit Street Partners answers questions faster with Codex","url":"https://openai.com/index/benefit-street-partners","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/ibm-granite/granite-switch-4-1","at":"2026-10-15T20:34:01.000Z","title":"Hugging Face — Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint","url":"https://huggingface.co/blog/ibm-granite/granite-switch-4-1","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/introducing-the-rosalind-academic-plan","at":"2026-10-15T19:00:00.000Z","title":"OpenAI — Bringing GPT-Rosalind to academic research labs","url":"https://openai.com/index/introducing-the-rosalind-academic-plan","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google DeepMind:https://deepmind.google/blog/accelerating-antimicrobial-discovery/","at":"2026-10-15T16:08:03.000Z","title":"Google DeepMind — Accelerating the search for antimicrobial peptides with Google Antigravity","url":"https://deepmind.google/blog/accelerating-antimicrobial-discovery/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"OpenAI:https://openai.com/index/teaching-students-to-think-and-learn-through-questions","at":"2026-10-15T13:00:00.000Z","title":"OpenAI — Teaching students to think and learn through questions","url":"https://openai.com/index/teaching-students-to-think-and-learn-through-questions","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Mistral AI:https://mistral.ai/news/timestral/","at":"2026-10-15T12:00:00.000Z","title":"Mistral AI — Introducing Timestral","url":"https://mistral.ai/news/timestral/","severity":"info","meta":{"lab":"Mistral AI"}},{"id":"Hugging Face:https://huggingface.co/blog/swiss-ai/apertus-v15-release-notes","at":"2026-10-15T09:08:45.000Z","title":"Hugging Face — Apertus 1.5 Release Notes","url":"https://huggingface.co/blog/swiss-ai/apertus-v15-release-notes","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/meta-muse-spark-open","at":"2026-10-15T00:00:00.000Z","title":"Hugging Face — Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta","url":"https://huggingface.co/blog/meta-muse-spark-open","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/flux-3","at":"2026-10-15T00:00:00.000Z","title":"Hugging Face — Welcome FLUX.3 Image Klein in Diffusers","url":"https://huggingface.co/blog/flux-3","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/sullivan-cromwell","at":"2026-10-15T00:00:00.000Z","title":"OpenAI — Sullivan & Cromwell brings legal expertise into agreement review","url":"https://openai.com/index/sullivan-cromwell","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/hiro-acev2","at":"2026-10-14T16:12:42.000Z","title":"Hugging Face — HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost","url":"https://huggingface.co/blog/allenai/hiro-acev2","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/amp-beyond-coding","at":"2026-10-14T12:00:00.000Z","title":"OpenAI — Amp puts AI agents to work beyond code with OpenAI models","url":"https://openai.com/index/amp-beyond-coding","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/sentinelone","at":"2026-10-14T12:00:00.000Z","title":"OpenAI — SentinelOne cuts malware analysis from weeks to hours","url":"https://openai.com/index/sentinelone","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/third-moment-research","at":"2026-10-14T07:00:00.000Z","title":"OpenAI — How Third Moment Research runs 10,000 agents for 36+ hours","url":"https://openai.com/index/third-moment-research","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/block-ai-powered-security","at":"2026-10-14T07:00:00.000Z","title":"OpenAI — How Block is building AI-powered security with OpenAI technology","url":"https://openai.com/index/block-ai-powered-security","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google DeepMind:https://deepmind.google/blog/on-device-ai-scam-detection-mddi/","at":"2026-10-14T02:00:14.000Z","title":"Google DeepMind — Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection","url":"https://deepmind.google/blog/on-device-ai-scam-detection-mddi/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"OpenAI:https://openai.com/index/the-eus-next-chapter-in-ai-is-agentic","at":"2026-10-14T00:00:00.000Z","title":"OpenAI — The EU’s next chapter in AI is agentic","url":"https://openai.com/index/the-eus-next-chapter-in-ai-is-agentic","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google DeepMind:https://deepmind.google/blog/developing-gemini-4-argon-responsibly-and-safely/","at":"2026-10-13T19:43:07.000Z","title":"Google DeepMind — Developing Gemini 4 Argon responsibly and safely","url":"https://deepmind.google/blog/developing-gemini-4-argon-responsibly-and-safely/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"Hugging Face:https://huggingface.co/blog/LiquidAI/lfm25-24b-a2b","at":"2026-10-13T17:05:48.000Z","title":"Hugging Face — Run fast, private agents on-device with LFM2.5-24B-A2B","url":"https://huggingface.co/blog/LiquidAI/lfm25-24b-a2b","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Google DeepMind:https://deepmind.google/blog/gemini-4-argon-for-robotics/","at":"2026-10-13T16:01:58.000Z","title":"Google DeepMind — Gemini 4 Argon for Robotics","url":"https://deepmind.google/blog/gemini-4-argon-for-robotics/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"Google DeepMind:https://deepmind.google/blog/introducing-gemini-4-argon/","at":"2026-10-13T16:01:52.000Z","title":"Google DeepMind — Gemini 4 Argon: Built to solve your hardest problems","url":"https://deepmind.google/blog/introducing-gemini-4-argon/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"Google:https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/","at":"2026-10-13T16:00:00.000Z","title":"Google — Gemini 4 Argon: Built to solve your hardest problems","url":"https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/","severity":"info","meta":{"lab":"Google"}},{"id":"OpenAI:https://openai.com/index/higgsfield-longer-videos-voice","at":"2026-10-13T12:00:00.000Z","title":"OpenAI — Higgsfield takes AI video from 1 minute to over 10","url":"https://openai.com/index/higgsfield-longer-videos-voice","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/impactful-scheduling","at":"2026-10-09T15:20:29.000Z","title":"Hugging Face — Impactful scheduling for GPU clusters","url":"https://huggingface.co/blog/allenai/impactful-scheduling","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/sophos","at":"2026-10-09T07:00:00.000Z","title":"OpenAI — Sophos cuts threat investigation time by 96% with OpenAI Daybreak","url":"https://openai.com/index/sophos","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/asana-browser-agent","at":"2026-10-09T07:00:00.000Z","title":"OpenAI — Asana cuts model costs 76x in browser tests with GPT-6.1 Sol","url":"https://openai.com/index/asana-browser-agent","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/oracle","at":"2026-10-08T16:00:00.000Z","title":"OpenAI — How Oracle turns days of work into minutes with ChatGPT and Codex","url":"https://openai.com/index/oracle","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/pollo-ai","at":"2026-10-08T12:00:00.000Z","title":"OpenAI — Pollo AI turns creative ideas into campaigns with OpenAI","url":"https://openai.com/index/pollo-ai","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/legalon-halves-codex-costs","at":"2026-10-08T12:00:00.000Z","title":"OpenAI — LegalOn halves Codex costs while maintaining development speed","url":"https://openai.com/index/legalon-halves-codex-costs","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/disrupting-ai-enabled-false-front-operations","at":"2026-10-08T00:00:00.000Z","title":"OpenAI — Disrupting AI-enabled “false front” operations","url":"https://openai.com/index/disrupting-ai-enabled-false-front-operations","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/building-with-ml-intern","at":"2026-10-08T00:00:00.000Z","title":"Hugging Face — The model that didn&apos;t exist, so you made it yourself","url":"https://huggingface.co/blog/building-with-ml-intern","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/LiquidAI/open-d1","at":"2026-10-07T16:54:33.000Z","title":"Hugging Face — Multimodal open d1 decision models for the edge","url":"https://huggingface.co/blog/LiquidAI/open-d1","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/tiiuae/falcon-asr","at":"2026-10-07T13:21:03.000Z","title":"Hugging Face — Introducing Falcon ASR","url":"https://huggingface.co/blog/tiiuae/falcon-asr","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/nemotron-ioi-and-imo-2026","at":"2026-10-07T12:45:31.000Z","title":"Hugging Face — One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO","url":"https://huggingface.co/blog/nvidia/nemotron-ioi-and-imo-2026","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/teens-learn-and-plan","at":"2026-10-07T12:00:00.000Z","title":"OpenAI — Helping teens learn, plan, and shape the future of AI","url":"https://openai.com/index/teens-learn-and-plan","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google:https://blog.google/innovation-and-ai/technology/ai/playground-experimental-gaming-platform/","at":"2026-10-07T12:00:00.000Z","title":"Google — Introducing Playground: Create and play custom games","url":"https://blog.google/innovation-and-ai/technology/ai/playground-experimental-gaming-platform/","severity":"info","meta":{"lab":"Google"}},{"id":"OpenAI:https://openai.com/index/radisson","at":"2026-10-07T07:00:00.000Z","title":"OpenAI — Radisson Hotel Group brings hotel discovery into ChatGPT","url":"https://openai.com/index/radisson","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/gpt-6-for-everyone","at":"2026-10-07T00:00:00.000Z","title":"OpenAI — GPT-6 and Intelligent UI for everyone","url":"https://openai.com/index/gpt-6-for-everyone","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google DeepMind:https://deepmind.google/blog/embeddinggemma-2-an-open-lightweight-multimodal-embedding-model/","at":"2026-10-06T19:57:04.000Z","title":"Google DeepMind — EmbeddingGemma 2: an open, lightweight multimodal embedding model","url":"https://deepmind.google/blog/embeddinggemma-2-an-open-lightweight-multimodal-embedding-model/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"OpenAI:https://openai.com/index/atlassian-partnership","at":"2026-10-06T16:00:00.000Z","title":"OpenAI — Atlassian and OpenAI expand partnership to turn enterprise knowledge into action","url":"https://openai.com/index/atlassian-partnership","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Mistral AI:https://mistral.ai/news/mistral-large-4/","at":"2026-10-06T12:00:27.000Z","title":"Mistral AI — Introducing Mistral Large 4","url":"https://mistral.ai/news/mistral-large-4/","severity":"info","meta":{"lab":"Mistral AI"}},{"id":"OpenAI:https://openai.com/index/jump-trading","at":"2026-10-06T12:00:00.000Z","title":"OpenAI — How Jump Trading is scaling quant research with ChatGPT","url":"https://openai.com/index/jump-trading","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/sharing-ai-progress-in-mathematics","at":"2026-10-06T12:00:00.000Z","title":"OpenAI — Sharing AI progress in mathematics","url":"https://openai.com/index/sharing-ai-progress-in-mathematics","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/advancing-computer-use-with-ironclad","at":"2026-10-06T10:00:00.000Z","title":"OpenAI — Advancing computer use with Ironclad","url":"https://openai.com/index/advancing-computer-use-with-ironclad","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/tiiuae/falcon-emirati","at":"2026-10-06T06:44:39.000Z","title":"Hugging Face — Falcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance","url":"https://huggingface.co/blog/tiiuae/falcon-emirati","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/eu-text-provenance","at":"2026-10-05T15:00:00.000Z","title":"OpenAI — Our approach to EU text provenance rules","url":"https://openai.com/index/eu-text-provenance","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/new-chatgpt-ads-format-and-measurement","at":"2026-10-05T10:00:00.000Z","title":"OpenAI — Building advertising for the way people use AI","url":"https://openai.com/index/new-chatgpt-ads-format-and-measurement","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/microsoft/thinkingbox","at":"2026-10-03T22:56:48.000Z","title":"Hugging Face — The Agent Said It Was Done. The Database Disagreed.","url":"https://huggingface.co/blog/microsoft/thinkingbox","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/practical-guide-building-gpt-6","at":"2026-10-02T16:15:00.000Z","title":"OpenAI — A model guide for the GPT-6 family","url":"https://openai.com/index/practical-guide-building-gpt-6","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/astabrief","at":"2026-10-02T15:19:50.000Z","title":"Hugging Face — Open-sourcing AstaBrief, the fast report-generation model in Asta","url":"https://huggingface.co/blog/allenai/astabrief","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Google:https://blog.google/innovation-and-ai/technology/ai/google-ai-updates-september-2026/","at":"2026-10-02T15:00:00.000Z","title":"Google — The latest AI news we announced in September 2026","url":"https://blog.google/innovation-and-ai/technology/ai/google-ai-updates-september-2026/","severity":"info","meta":{"lab":"Google"}},{"id":"Hugging Face:https://huggingface.co/blog/ServiceNow-AI/autosynthdata","at":"2026-10-02T04:01:31.000Z","title":"Hugging Face — AutoSynthData: Generating Training Data for Enterprise Agents","url":"https://huggingface.co/blog/ServiceNow-AI/autosynthdata","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/chatham-financial","at":"2026-10-02T00:00:00.000Z","title":"OpenAI — Chatham scales its capital markets expertise with OpenAI","url":"https://openai.com/index/chatham-financial","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/the-eternal-complement","at":"2026-10-01T17:00:00.000Z","title":"OpenAI — The eternal complement","url":"https://openai.com/index/the-eternal-complement","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/albertsons-reimagining-retail","at":"2026-10-01T16:00:00.000Z","title":"OpenAI — How Albertsons Companies is reimagining retail from the inside out","url":"https://openai.com/index/albertsons-reimagining-retail","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/allenai/olmocore3","at":"2026-10-01T15:01:43.000Z","title":"Hugging Face — Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs","url":"https://huggingface.co/blog/allenai/olmocore3","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/the-den-family-social","at":"2026-10-01T00:00:00.000Z","title":"OpenAI — The Den frees up 10-15 hours a week to grow with ChatGPT Work","url":"https://openai.com/index/the-den-family-social","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google DeepMind:https://deepmind.google/blog/gemini-4-argon-our-next-era-of-frontier-intelligence/","at":"2026-09-30T20:01:45.000Z","title":"Google DeepMind — Gemini 4 Argon: our next era of frontier intelligence","url":"https://deepmind.google/blog/gemini-4-argon-our-next-era-of-frontier-intelligence/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"Google DeepMind:https://deepmind.google/blog/introducing-synthid-bio/","at":"2026-09-30T15:03:07.000Z","title":"Google DeepMind — Introducing SynthID Bio","url":"https://deepmind.google/blog/introducing-synthid-bio/","severity":"info","meta":{"lab":"Google DeepMind"}},{"id":"OpenAI:https://openai.com/index/disrupting-a-coordinated-model-distillation-campaign","at":"2026-09-30T10:30:00.000Z","title":"OpenAI — Disrupting a coordinated model-distillation campaign","url":"https://openai.com/index/disrupting-a-coordinated-model-distillation-campaign","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/helping-small-businesses-put-ai-to-work","at":"2026-09-30T10:00:00.000Z","title":"OpenAI — Helping small businesses put AI to work","url":"https://openai.com/index/helping-small-businesses-put-ai-to-work","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Hugging Face:https://huggingface.co/blog/open-tts-leaderboard","at":"2026-09-30T00:00:00.000Z","title":"Hugging Face — Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning","url":"https://huggingface.co/blog/open-tts-leaderboard","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/nvidia/kumo-tabular","at":"2026-09-29T15:30:38.000Z","title":"Hugging Face — NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction","url":"https://huggingface.co/blog/nvidia/kumo-tabular","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"Hugging Face:https://huggingface.co/blog/MultiverseComputingCAI/getting-the-source-right-not-just-the-fact-source","at":"2026-09-29T13:07:00.000Z","title":"Hugging Face — Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents","url":"https://huggingface.co/blog/MultiverseComputingCAI/getting-the-source-right-not-just-the-fact-source","severity":"info","meta":{"lab":"Hugging Face"}},{"id":"OpenAI:https://openai.com/index/introducing-gpt-6-1-sol","at":"2026-09-29T10:00:00.000Z","title":"OpenAI — Introducing GPT-6.1 Sol","url":"https://openai.com/index/introducing-gpt-6-1-sol","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/devday-2026-recap","at":"2026-09-29T10:00:00.000Z","title":"OpenAI — DevDay 2026 Recap","url":"https://openai.com/index/devday-2026-recap","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/introducing-dots","at":"2026-09-29T00:00:00.000Z","title":"OpenAI — Introducing dots","url":"https://openai.com/index/introducing-dots","severity":"info","meta":{"lab":"OpenAI"}},{"id":"Google:https://blog.google/innovation-and-ai/technology/ai/winner-future-vision-xprize/","at":"2026-09-28T19:00:00.000Z","title":"Google — Watch the winning trailer from the Future Vision XPRIZE, The Gifted.","url":"https://blog.google/innovation-and-ai/technology/ai/winner-future-vision-xprize/","severity":"info","meta":{"lab":"Google"}},{"id":"OpenAI:https://openai.com/index/how-we-will-do-better-for-australia","at":"2026-09-28T19:00:00.000Z","title":"OpenAI — How we will do better for Australia","url":"https://openai.com/index/how-we-will-do-better-for-australia","severity":"info","meta":{"lab":"OpenAI"}},{"id":"OpenAI:https://openai.com/index/towards-safety-cases-for-frontier-ai-training","at":"2026-09-28T19:00:00.000Z","title":"OpenAI — Towards safety cases for frontier AI training","url":"https://openai.com/index/towards-safety-cases-for-frontier-ai-training","severity":"info","meta":{"lab":"OpenAI"}}],"at":"2026-10-30T17:57:24.000Z","fetchedAt":"2026-11-02T12:00:20.416Z","meta":{"feedsLive":5,"feedsConfigured":5},"errorCount":0,"firstSeenAt":"2026-08-19T05:35:29.234Z","status":"unknown"}},"runlog":[{"at":"2026-11-02T12:00:20.416Z","force":false,"ran":13,"ok":13,"failed":[]},{"at":"2026-11-02T06:00:20.386Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-11-02T00:00:20.396Z","force":false,"ran":12,"ok":11,"failed":[{"id":"arxiv-ai-papers","error":"The operation was aborted"}]},{"at":"2026-11-01T18:00:20.374Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-11-01T12:00:20.458Z","force":false,"ran":13,"ok":13,"failed":[]},{"at":"2026-11-01T06:00:20.393Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-11-01T00:00:20.386Z","force":false,"ran":12,"ok":11,"failed":[{"id":"arxiv-ai-papers","error":"The operation was aborted"}]},{"at":"2026-10-31T18:00:20.380Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-10-31T12:00:20.388Z","force":false,"ran":13,"ok":13,"failed":[]},{"at":"2026-10-31T06:00:20.392Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-10-31T00:00:20.468Z","force":false,"ran":12,"ok":12,"failed":[]},{"at":"2026-10-30T18:00:20.450Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-10-30T12:00:14.338Z","force":false,"ran":13,"ok":13,"failed":[]},{"at":"2026-10-30T06:00:10.433Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-10-30T00:00:15.497Z","force":false,"ran":12,"ok":12,"failed":[]},{"at":"2026-10-29T18:00:12.038Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-10-29T12:00:19.011Z","force":false,"ran":13,"ok":13,"failed":[]},{"at":"2026-10-29T06:00:14.944Z","force":false,"ran":11,"ok":11,"failed":[]},{"at":"2026-10-29T00:00:26.857Z","force":false,"ran":12,"ok":11,"failed":[{"id":"arxiv-ai-papers","error":"The operation was aborted"}]},{"at":"2026-10-28T18:00:26.007Z","force":false,"ran":11,"ok":11,"failed":[]}]}