OpenAI cuts live internet from all frontier model training

Been working on Bun AOT in a Claude Code build compiled with Bun AOT for the last 4 hrs or so Activity Monitor says 267 MB of RAM, with 67 active subagents, 66 shells, remote control + a big session transcript

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QoL update for Codex devs: You can now switch reasoning levels mid-conversation without losing your cache! Use lower reasoning for the quick stuff and dial it up when you need it, without having to rebuild the context. and some nice CLI updates: - Reusable...

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"A Fix for Softmax and Cross-Entropy" Turns out two of the most fundamental functions in deep learning have numerical bugs that can actually destabilize training. This paper proposes simple fixes to softmax and cross-entropy that prevent tiny gradients...

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We're open-sourcing our OrcaCyber DeepSeek V4.1 Flash 1017 (Abliterated GGUF) weights — one of the strongest uncensored/abliterated DeepSeek V4.1 weights we've tested, with virtually no capability loss. - 91.5% fewer refusals - 92% MMLU vs. 91% original...

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The 10-411: Compilers for Machine Learning course will be aggressively tested by LLMs by the time it's ready for students. GPT thinks week 4 will be the hardest.

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SITUATION DETECTED: The UK is launching the AI Biosecurity Lab (AIBL) in partnership with OpenAI, Anthropic and Google DeepMind to harness frontier AI to better understand, prevent, detect and respond to biological threats, including those potentially...

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One model, used by just a few scientists, and look at what we've already achieved: New counterexamples to a nearly 60 year old plasma physics conjecture. Five novel, lab verified enzymes designed in hours. A genetic rearrangement that routine software had...

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🚨 Kimi K3.1 Scores Below DeepSeek Flash - seems to be bench-maxxed on public benches - competitive on price per task - it's not Fable or Astra class - DeepSeek is still king of open-source This is on LiveBench

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Thrilled to welcome Jeff and the Chroma team to Replit! They’re pioneers in AI. They were building RAG before it was even a thing! At Replit, they’ll help solve one of the hardest problems in AI: giving agents the context and memory they need to do real...

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Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications. On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments. While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software. After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely. https://t.co/EmEZsFRMcF

We’re adding support for MCP Tasks and Elicitations in Claude. Tasks let Claude give plugins long-running jobs such as deep research and report back when they’re done.

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Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published @Kimi_Moonshot's new reasoning model gains 11 points...

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Kimi K3.1 Pro is out! should be the strongest OSS model now. It beats Claude Opus 5.5 on Terminal-Bench 4.0 at ~1/3 the cost!

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Kimi K3.1 is announced as 3.1 Pro. The benchmark scores look to be clearly the strongest current open weight model, if the weights are released as they claim by November 4th. They are very impressive scores. The Kimi team makes very clear statements about...

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Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹...

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