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Advisory Group on Mathematics and Artificial IntelligenceAdvisory Group on Mathematics and Artificial Intelligence

OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.

Higgsfield AI ships new video features in a day with GPT-6 AstraHiggsfield AI ships new video features in a day with GPT-6 Astra

With GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.With GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.

Building standards for the next phase of AIBuilding standards for the next phase of AI

OpenAI outlines a path to shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety.OpenAI outlines a path to shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety.

Expanding OpenAI Academy with new learning pathsExpanding OpenAI Academy with new learning paths

Explore new OpenAI Academy learning paths for employees, developers, leaders, educators, and students to build and demonstrate practical AI skills.Explore new OpenAI Academy learning paths for employees, developers, leaders, educators, and students to build and demonstrate practical AI skills.

How V7 gives AI agents institutional memoryHow V7 gives AI agents institutional memory

Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.

Introducing Grok 4.7Introducing Grok 4.7

SpaceXAI's most powerful model for coding and knowledge work. Twice as fast, at half the price of comparable models.SpaceXAI's most powerful model for coding and knowledge work. Twice as fast, at half the price of comparable models.

Introducing the Australian Youth Safety BlueprintIntroducing the Australian Youth Safety Blueprint

OpenAI introduces the Australian Youth Safety Blueprint, a six-pillar roadmap for safer AI experiences that protect and empower young people.OpenAI introduces the Australian Youth Safety Blueprint, a six-pillar roadmap for safer AI experiences that protect and empower young people.

New experts join Google’s AI & Economy teamNew experts join Google’s AI & Economy team

Text "AI & Economy Research Program" all over a green grid background, with the Google G logo in the bottom right cornerText "AI & Economy Research Program" all over a green grid background, with the Google G logo in the bottom right corner

Co-creating the future of fashion with GoogleCo-creating the future of fashion with Google

Jane Wade and Sergio HudsonJane Wade and Sergio Hudson

Partnering with Accenture on embedded evaluationPartnering with Accenture on embedded evaluation

We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years.We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years.

Introducing Grok Voice Transcribe 2.0Introducing Grok Voice Transcribe 2.0

Announcing SpaceXAI's newest speech-to-text model, with unparalleled accuracy and cost effectiveness.Announcing SpaceXAI's newest speech-to-text model, with unparalleled accuracy and cost effectiveness.

Introducing Gemini 3.8 Live and 3.8 Live Extended ThinkingIntroducing Gemini 3.8 Live and 3.8 Live Extended Thinking

The man who built Apple’s stores doesn’t buy Silicon Valley’s bet on AI shoppingThe man who built Apple’s stores doesn’t buy Silicon Valley’s bet on AI shopping

Apple Store architect Ron Johnson says Apple's secret sauce has always been its people.Apple Store architect Ron Johnson says Apple's secret sauce has always been its people.

'Better than DeepSeek': Xiaomi's MiMo-V2.6-Pro debuts as the top open weights model in the world alongside cheaper V2.6-Flash'Better than DeepSeek': Xiaomi's MiMo-V2.6-Pro debuts as the top open weights model in the world alongside cheaper V2.6-Flash

In a surprising upset, Chinese electric car and consumer electronics manufacturer Xiaomi has released the latest version of its growing family of MiMo language models, and MiMo-V2.6-Pro has arrived as the top-performing open-weight model in the world on third-party benchmarking firm Artificial AnalyIn a surprising upset, Chinese electric car and consumer electronics manufacturer Xiaomi has released the latest version of its growing family of MiMo language models, and MiMo-V2.6-Pro has arrived as the top-performing open-weight model in the world on third-party benchmarking firm Artificial Analy

macOS 27: Workaround to avoid downloading AI models and save storagemacOS 27: Workaround to avoid downloading AI models and save storage

Hacker News (218 points, 107 comments)Hacker News (218 points, 107 comments)

AI coding has made CI a bottleneck, so we reworked ours to keep upAI coding has made CI a bottleneck, so we reworked ours to keep up

We cut PR wait time and running costs by rethinking CI as a system, from the infrastructure underneath it to how work gets scheduled and tests get parallelized.We cut PR wait time and running costs by rethinking CI as a system, from the infrastructure underneath it to how work gets scheduled and tests get parallelized.

Frontier AI on Your Own HardwareFrontier AI on Your Own Hardware

In one of my classes I asked the question I was afraid to ask but I just needed the answer to: “Who is afraid of not getting a job after graduating?” About eighty percent of the 150 people in the room raised their hands. That is roughly 120 students answering, in one motion, thatIn one of my classes I asked the question I was afraid to ask but I just needed the answer to: “Who is afraid of not getting a job after graduating?” About eighty percent of the 150 people in the room raised their hands. That is roughly 120 students answering, in one motion, that

The Advisory Group on Mathematics and Artificial IntelligenceThe Advisory Group on Mathematics and Artificial Intelligence

[This is a guest post by the Advisory Group on Mathematics and Artificial Intelligence. This blog post was initially written in a different file format and converted using AI. — T.] We would …[This is a guest post by the Advisory Group on Mathematics and Artificial Intelligence. This blog post was initially written in a different file format and converted using AI. — T.] We would …

Claude Status – Elevated errors for multiple modelsClaude Status – Elevated errors for multiple models

Claude's Status Page - Elevated errors for multiple models.Claude's Status Page - Elevated errors for multiple models.

California tightens rules on AI data center energy and water useCalifornia tightens rules on AI data center energy and water use

California Gov. Gavin Newsom has signed seven bills designed to prevent AI data centers from passing utility costs onto residents, as reported earlier by the Los Angeles Times. The package of laws requires the California Public Utilities Commission to introduce a new rate classification for data cenCalifornia Gov. Gavin Newsom has signed seven bills designed to prevent AI data centers from passing utility costs onto residents, as reported earlier by the Los Angeles Times. The package of laws requires the California Public Utilities Commission to introduce a new rate classification for data cen

Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-dayMuse, Meta's extraordinarily privileged AI assistant, has a serious 0-day

A simple ClickFix attack is only one way to completely hijack the new agent.A simple ClickFix attack is only one way to completely hijack the new agent.

Microsoft brings AI-ready capabilities across its India cloud infrastructureMicrosoft brings AI-ready capabilities across its India cloud infrastructure

The post Microsoft brings AI-ready capabilities across its India cloud infrastructure appeared first on Source.The post Microsoft brings AI-ready capabilities across its India cloud infrastructure appeared first on Source.

4 ways to address the failures we found along the US border’s “virtual wall”4 ways to address the failures we found along the US border’s “virtual wall”

MIT Technology Review today published our investigation into how many people have died near the “virtual wall” of surveillance towers that the US government has installed along the US-Mexico border. We found cases of people who walked undetected through areas surveilled by advanced, AI-enabled towerMIT Technology Review today published our investigation into how many people have died near the “virtual wall” of surveillance towers that the US government has installed along the US-Mexico border. We found cases of people who walked undetected through areas surveilled by advanced, AI-enabled tower

Pirate Face, LLM 모델을 삭제에서 구출Pirate Face Rescues LLM Models from Deletion

체크섬 검증된 마그넷 링크로서의 오픈 모델. 차단 불가능, 무리에 의해 운반됨.Open models as checksum-verified magnet links. Un-bannable, carried by the swarm.

Jev introduces a new shape of LLM - System One, aka Decision ModelsJev introduces a new shape of LLM - System One, aka Decision Models

Last week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling "System One models" (I'm with Maggie Appleton, I think "decision models" is a better name for these). Jev is an interesting variant on the usual LLM format: it still acceLast week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling "System One models" (I'm with Maggie Appleton, I think "decision models" is a better name for these). Jev is an interesting variant on the usual LLM format: it still acce

Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization ProblemPruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem

Should you read the code, is RAG dead, and did Skills kill MCP?Should you read the code, is RAG dead, and did Skills kill MCP?

We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast. The post Should you read the code, is RAG dead, and did Skills kill MCP? appeared first on The GitHub Blog.We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast. The post Should you read the code, is RAG dead, and did Skills kill MCP? appeared first on The GitHub Blog.

GameHorizon Suite: Multi-Horizon Data and Evaluation in GameplayGameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay

Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control over multiple temporal horizons. Existing datasets and benchmarks, however, either cover a narrow range of games, lack langModern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control over multiple temporal horizons. Existing datasets and benchmarks, however, either cover a narrow range of games, lack lang

WorldCrafter: Consistent Video World Model with Implicit 3D-aware MemoryWorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCrafter, a video world model that learns a camera-queryable implicit 3D-aware memory for this purpose. The key insight is toVideo world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCrafter, a video world model that learns a camera-queryable implicit 3D-aware memory for this purpose. The key insight is to

DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous ManipulationDexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation

Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world modeling with action generation, but remain largely vision-centric and therefore cannot directly model these contact dynamics. We pDexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world modeling with action generation, but remain largely vision-centric and therefore cannot directly model these contact dynamics. We p

Harness-Zero: Harness Distillation via Agent-as-HarnessHarness-Zero: Harness Distillation via Agent-as-Harness

Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent performance, but their gains remain tied to the harness at deployment. Because the best harness varies across domains, instances, and models, a general-purpose agent must either settle fAgent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent performance, but their gains remain tied to the harness at deployment. Because the best harness varies across domains, instances, and models, a general-purpose agent must either settle f

RRSI: Regularized Recursive Self-Improvement of Agent HarnessesRRSI: Regularized Recursive Self-Improvement of Agent Harnesses

An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model. Recent methods increasingly automate this process by iteratively proposing and selecting component-wise edits of an ageAn LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model. Recent methods increasingly automate this process by iteratively proposing and selecting component-wise edits of an age

DolphinBench: Mapping the Pareto Frontier of Agent MemoryDolphinBench: Mapping the Pareto Frontier of Agent Memory

Agents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a conversational question-answer format, where the question itself signals that some fact must be retrieved, and often which one. Moreover, bAgents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a conversational question-answer format, where the question itself signals that some fact must be retrieved, and often which one. Moreover, b

Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool UseCritical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use

Multi-turn tool-use failures can hinge on a single model call, yet reward variation alone does not reveal which call would benefit from training. When rewards depend on later interactions, their variation can reflect downstream randomness rather than differences between the current actions. We introMulti-turn tool-use failures can hinge on a single model call, yet reward variation alone does not reveal which call would benefit from training. When rewards depend on later interactions, their variation can reflect downstream randomness rather than differences between the current actions. We intro

onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level CorrectiononPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction

We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model response, the annotator locates the first inappropriate token and either picks a substitute from the modeWe present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model response, the annotator locates the first inappropriate token and either picks a substitute from the mode

LoRA-generating hypernetworks for efficient on-device LLM generative personalizationLoRA-generating hypernetworks for efficient on-device LLM generative personalization

On-device large language models (`LLMs'), e.g. running on mobile phones, are ripe for improvement via personalization. The limited compute resources of mobile devices impose limits on model scale and thus model quality, making any realizable quality gains highly impactful. At the same time, theOn-device large language models (`LLMs'), e.g. running on mobile phones, are ripe for improvement via personalization. The limited compute resources of mobile devices impose limits on model scale and thus model quality, making any realizable quality gains highly impactful. At the same time, the

JAREX: An Acquisition Function for Multi-Objective Algorithmic Process CharacterizationJAREX: An Acquisition Function for Multi-Objective Algorithmic Process Characterization

Pharmaceutical process characterization is central to Quality by Design because it defines how variations in process parameters affect the ability to meet product quality specifications, thereby supporting proven acceptable ranges and robust manufacturing. In practice, however, characterization stilPharmaceutical process characterization is central to Quality by Design because it defines how variations in process parameters affect the ability to meet product quality specifications, thereby supporting proven acceptable ranges and robust manufacturing. In practice, however, characterization stil

Learning Physics from an Imperfect AncestorLearning Physics from an Imperfect Ancestor

Neural operators evaluate parametric partial differential equations cheaply but degrade sharply outside their training distribution. Physics-informed neural networks avoid dependence on labeled data, yet their optimization can be basin-fragile: when the governing residual admits multiple solutions, Neural operators evaluate parametric partial differential equations cheaply but degrade sharply outside their training distribution. Physics-informed neural networks avoid dependence on labeled data, yet their optimization can be basin-fragile: when the governing residual admits multiple solutions,

Exactness at Inference: A Representational Criterion for Out-of-Distribution GeneralizationExactness at Inference: A Representational Criterion for Out-of-Distribution Generalization

A model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fitted to it. Such equivalence is necessary for exactness in and out of distribution, and extrapolation is governed by this exactnessA model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fitted to it. Such equivalence is necessary for exactness in and out of distribution, and extrapolation is governed by this exactness

Linguistic Features for Interpretable Textual EntailmentLinguistic Features for Interpretable Textual Entailment

Despite the success of neural models in natural language processing, their black-box nature limits interpretability and conceals the linguistic phenomena underlying their predictions. We present SLITE, an explainable hybrid model for Recognizing Textual Entailment that integrates two complementary lDespite the success of neural models in natural language processing, their black-box nature limits interpretability and conceals the linguistic phenomena underlying their predictions. We present SLITE, an explainable hybrid model for Recognizing Textual Entailment that integrates two complementary l

SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary ParadigmSocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm

Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by acting as silicon samples that unite agent-based modeling with real behavioral data. Existing platforms verify collective behavior, align simulated Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by acting as silicon samples that unite agent-based modeling with real behavioral data. Existing platforms verify collective behavior, align simulated

ToneCL: Contrastive Learning for Few-Shot Syllable-Level Tone ClassificationToneCL: Contrastive Learning for Few-Shot Syllable-Level Tone Classification

Tone languages constitute over 50-70% of the world's languages, but the vast majority are low-resource, lacking the large transcribed corpora needed for automatic tone classification. Existing datasets are typically collected at the sentence level, whereas field linguists require fine-grained sTone languages constitute over 50-70% of the world's languages, but the vast majority are low-resource, lacking the large transcribed corpora needed for automatic tone classification. Existing datasets are typically collected at the sentence level, whereas field linguists require fine-grained s

Import AI 473: The US's superintelligence strategy; human brain in a mouse skull; and machine hermeneuticsImport AI 473: The US's superintelligence strategy; human brain in a mouse skull; and machine hermeneutics

Is the wall AI is hitting in the room with us right now?Is the wall AI is hitting in the room with us right now?

AI safety conversations have gotten unbelievableAI safety conversations have gotten unbelievable

This week two conversations about AI safety went viral that demonstrate just how hard it is to discern AI fact from fiction.This week two conversations about AI safety went viral that demonstrate just how hard it is to discern AI fact from fiction.

[Paper] Stringological sequence prediction III[Paper] Stringological sequence prediction III

Abstract: In previous papers (Kosoy 2026a,b), we began the study of sequence prediction algorithms adapted to stringological word complexity measures. In particular, we defined a complexity measure called Arithmetic Repetition Complexity (ARC) which admits a polynomial-time prediction algorithm withAbstract: In previous papers (Kosoy 2026a,b), we began the study of sequence prediction algorithms adapted to stringological word complexity measures. In particular, we defined a complexity measure called Arithmetic Repetition Complexity (ARC) which admits a polynomial-time prediction algorithm with

Gavin Newsom, AI 킬 스위치 추진Gavin Newsom is pushing for an AI kill switch

Gavin Newsom 캘리포니아 주지사(민주당)는 금요일 발표된 새로운 행정 명령을 통해 최첨단 모델에 대한 "킬 스위치"를 의무화할 가능성을 포함하여 AI 감독을 주도할 수 있도록 주를 포지셔닝하고 있습니다. Newsom의 명령은 주가 두 달 안에 권고안을 제공할 전문가 그룹을 소집하도록 지시합니다. […]California Gov. Gavin Newsom (D) is positioning the state to take the lead on AI oversight, including the potential to mandate a "kill switch" for frontier models, with a new executive order issued Friday. Newsom's order directs the state to convene a group of experts that will delive

OpenAI, 6건의 새로운 AI 안전 사고 공개OpenAI discloses six new AI safety incidents

해커 뉴스 (6점, 0 댓글)Hacker News (6 points, 0 comments)

This Robot Looks DEMONIC... On Purpose?This Robot Looks DEMONIC... On Purpose?

This robot looks straight up like a fantasy movie villain, but it was designed like that on purpose. Despite how it looks, the Threehalves robot's design actually makes perfect sense: four legs for stability, tools that attach directly to its wrists, and horns that house cameras for a remote opThis robot looks straight up like a fantasy movie villain, but it was designed like that on purpose. Despite how it looks, the Threehalves robot's design actually makes perfect sense: four legs for stability, tools that attach directly to its wrists, and horns that house cameras for a remote op

전 OpenAI 연구원이 LLM의 언어를 삭제했습니다...An ex-OpenAI researcher just deleted language from the LLM...

Mux는 오디오를 번역하고 동영상에 대한 질문에 답하는 동영상 API입니다. 50달러 상당의 무료 크레딧을 받으세요: https://mux.com/fireship 전 OpenAI 연구원 Diogo Almeida는 2년 동안 은둔하며 "시스템 1" AI 모델인 Jev를 구축했습니다. 이 모델은 말하거나 코드를 작성할 수는 없지만 200배 더 빠르고, 400배 저렴하며, 환각이 없다고 주장합니다. 자세히 알아보겠습니다. 더 많은 Fireship을 원하시나요? 🗞️ 뉴스레터: https://bytes.dev 🧠 코스: Mux is the video API that translates audio and answers questions about your video. Get $50 in free credits: https://mux.com/fireship Ex-OpenAI researcher Diogo Almeida spent two years in stealth building Jev, a "System 1" AI model that can't talk or write code but claims to be 200x fa

DeepSeek’s Insane New ArchitectureDeepSeek’s Insane New Architecture

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The DeepSeek V4.1 Flash paper is available here: https://www.deepseek.com/en/news/deepseek-v4-1-flash/ Erratum: Opus 5.1 label at 3:23 should have been Opus 5. Apologies! Sources: https://x.com/flowith/status/209944❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The DeepSeek V4.1 Flash paper is available here: https://www.deepseek.com/en/news/deepseek-v4-1-flash/ Erratum: Opus 5.1 label at 3:23 should have been Opus 5. Apologies! Sources: https://x.com/flowith/status/209944