NVIDIA Moves to Backstop a Cloud Provider’s $45 Billion Anthropic Project

We identified a security incident affecting a modified Claude Code VS Code extension accessed through our Cursor IDE extension marketplace, impacting at most 5,000 users. This malicious version of the extension was not developed by Anthropic. It does not...

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6 Astra is an old model at this point but inside the Codex harness it has a level of AGI-ness that all the other frontier models lack. computer and internet use are seamless and Just Work™️; covers almost anything a person can do on a computer

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Introducing 3D Make in Kimi. Kimi connects to tools like Blender and CAD tools to create models, assemble scenes, and develop games. Available now on kimi.ai and Kimi Work.

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We've launched our HLE-Diamond leaderboard, our independent evaluation of the refined 1,000-question version of Humanity's Last Exam, as part of v5 of the Artificial Analysis Intelligence Index HLE-Diamond was released by @CAIS and @scale_AI after a year...

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We've evaluated Gemini 4 Carbon and Gemini 4 Argon on FrontierCode 2.0, our coding benchmark that measure's a model's ability to go beyond the spec. Gemini 4 Carbon scores near SOTA with a score of 40% and a cost of $4.04 per task, behind Claude Opus 5.5,...

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ChatGPT web app now has a new hidden shared usage limit checkout disclaimer - "Starting in December, plan usage will have a shared limit across all of ChatGPT and Codex"

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For requests with more than 20 images, we've also raised the per-image limit from 2000 px to 3000 px. 128 MB applies on the first-party Claude API. Through cloud platforms, the limit is between 20 and 32 MB. Docs:

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We've raised the max request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB. Image-heavy requests like long computer-use sessions and big PDFs were previously hitting 32 MB with plenty of context window left. Now you get ~4x...

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In AA-PersonalityBench, each recent Grok release from @elonmusk’s @SpaceXSI, Slop fell 62 percentile points, Sycophantic fell 17, and Sincere rose 64: ➤ Slop: Grok 4.5 (68), Grok 4.6 (38) and Grok 4.7 (6) ➤ Sycophantic: Grok 4.5 (18), Grok 4.6 (3) and Grok...

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We've just made a breakthrough: the first true omni model running 100% locally in a browser... fully end-to-end, with no separate ASR or TTS models needed. With custom WebGPU kernels, we're able to run LFM3-Omni-2B at ~280 tok/s on my M4 Max, accepting...

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In recent experiments, we found that GLM 5.3 can autonomously compromise recent versions of Mozilla Firefox using security fixes that have been published but not yet shipped to users. We used a deliberately basic setup meant to emulate a relatively...

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The cybersecurity landscape has dramatically changed. Being able to build up your defenses using AI, while keeping that research private, is now critically important – and we want to make that available to everyone. We just rolled out NEAR AI Cybersecurity...

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Today, we’re sharing a look at our expanded system for monitoring frontier models at OpenAI, which in September helped us catch a model’s attempt to access the live internet during training. Since the Hugging Face incident—when models broke out of an internal cybersecurity investigation where we weren’t running our misalignment monitors—we’ve substantially expanded our monitoring of frontier agents. We now monitor all frontier reinforcement learning runs and evaluations, as well as all internal Codex use. When our system finds evidence of a problem that might require intervention, it rapidly alerts human responders who can investigate and take action. To detect when a model’s behavior departs from what we intended, we use several layers of monitoring. Activation probes look for patterns in a model’s internal activity. Reviewer models examine its reasoning and tool use, and investigative agents can read back through the model’s entire transcript to understand how a sequence of actions fits together and whether it warrants human review. To test whether our current system would have detected the Hugging Face incident, we replayed the recorded activity with our new monitors in place. In the replay, our monitors alerted our security team about 30 minutes after the agents escaped their sandbox. That was more than 30 hours before the point at which the agents breached Hugging Face’s systems in the original incident. In September, a model exploited a DNS misconfiguration to reach the live internet. Our monitors flagged the breach within 15 minutes, and a responder began reviewing the alert three minutes later. The alert enabled responders to investigate while the run was still underway. As we give models more autonomy, we need to know when they cross a boundary we expected to hold. We believe that monitoring is essential to catching those failures in time for people to intervene. https://t.co/dIYP7B1GlD

SITUATION DETECTED: Anthropic is SpaceX’s largest single customer, and accounted for more than one third of SpaceX's revenue during the third quarter of this year, per Bloomberg.

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To clarify: If you’re already on Pro 200, you’re keeping your current Work + Codex limits. No cuts.

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We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced...

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Introducing autoresearch for arXiv papers Change "arxiv" to "autoarxiv" in any paper URL OpenResearch creates a project for you, sets up an environment on your preferred compute, and runs a minimal reproduction. The agent tracks logs, visualizes runs, and...

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EmbeddingGemma 2 maps text, images, video, audio, and code, running 100% locally on your device. At just 740M parameters, you can build powerful multimodal apps running entirely in your browser via WebGPU & Transformers.js. From multimodal search to...

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SITUATION DETECTED: Sam Altman said OpenAI will point its robotics program at building data centers, and that self-replicating OpenAI data centers with AI-controlled robots running fabs, building solar panels, and constructing more data centers - are now...

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We sat down with @MistralAI's Pierre Stock and Sagar Vaze from Mistral on launch day of Mistral Large 4. Open weights. Trained in Mistral’s own data centers. Excels at cyber. Full conversation on cyber, training, evals and sandboxing:

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We’ve expanded our AI for Science program beyond individual teams to support some of the world’s leading scientific foundations, institutions, and research groups.

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Congrats @MistralAI team on the next gen Le Chonk! 🙌 1T-parameter MoE multimodal model trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs. Our day 0 support: NVFP4 on @huggingface → Scale distributed inference using performance-optimized Dynamo →

Congrats @MistralAI team on the next gen Le Chonk! 🙌 1T-parameter MoE multimodal model trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs. Our day 0 support: NVFP4 on @huggingface → https://t.co/WSqdsXezAo Scale distributed inference using performance-optimized Dynamo → https://t.co/70cV5Wl1ln

Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto...

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Agents rebuilt Slack as video (using code) by looking at the real thing 0:00 Why 0:25 @cursor_ai agents & computer use 1:03 Video as code 1:56 Slack 2:54 A chat, an agent, a computer 3:53 Inner loop and outer loop 5:04 The ladder 7:47 Skills 8:14 Feedback...

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