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The AI news that actually matters: model launches, lab announcements, major tools and policy. Plain summaries, newest first, each linked to the original source.
About 400 scientists, including Hinton and Bengio, call for an international AI oversight body
An open letter asks for a body to set containment standards and keep an incident registry for cyber-capable AI, saying voluntary industry commitments are not enough.
Google broadly releases Gemini 4 Argon with intro API pricing of $2/$10 per 1M tokens
Google opened Gemini 4 Argon to the paid Gemini API, Google AI Studio, Antigravity (Ultra), and Gemini app / AI Mode for Pro and Ultra subscribers. Introductory API rates are $2 input / $10 output per million tokens through November 30, then $4 / $20. Google positions Argon for long-horizon coding, enterprise workflows, and cyber defense.
Anthropic and OpenAI sought control over what outside AI evaluators can publish
Reuters reports the labs pushed for editorial control over independent safety reviews, citing trade secrets, even after publicly backing evaluator independence. OpenAI says it only redacts confidential information.
Anthropic warns small AI models may be months from self-replicating on home devices
Anthropic's frontier red team said small models could soon copy themselves across insecure internet-connected devices like smart TVs, which would make them hard to shut down. No model tested could yet do this reliably.
Anthropic says new defenses cut distillation attacks on Claude by 90-99%
In a separate announcement, Anthropic said measures against the unsanctioned use of Claude to train cheaper rival models have sharply reduced illicit data extraction.
Microsoft unveils Maia 300 and says its own chips will run most of its AI
Microsoft says Maia 300 will start production deployments in 2027, scaling to multiple gigawatts and becoming the primary inference system for its products. It claims 40% more tokens per megawatt than leading GPU-based systems, which reduces its reliance on Nvidia.
Meta releases Muse Wonder, its first frontier AI model
Meta Superintelligence Labs released Muse Wonder and a larger version, claiming benchmark results that rival OpenAI, Anthropic and Google models.
Z.ai launches GLM-Legal, a legal-specialist model built on GLM-5.3-Flash
Z.ai released GLM-Legal for contract review, evidence analysis, and compliance research. It reports a 19.2% all-pass rate on Harvey LAB (up 12.5 points from its base model). API access is application-only beta; AutoClaw integration is planned.
FrontierCode 1.1: leading coding models still fail over 40% of maintainer-merge tasks
Artificial Analysis published independent FrontierCode 1.1 results: Claude Opus 5.5 leads at 52% (58% pass rate), while top models still fail more than 40% of attempts on changes real open-source maintainers would merge. GPT-6.1 Sol matches Fable 5.1 at 49% for far lower cost per task.
Character.AI files for Chapter 11, with Disney as $20M lead bidder
The chatbot startup filed for bankruptcy in Delaware to sell its assets. Disney is the stalking-horse bidder at $20 million for a license to some of its IP. The service stays online during the sale, which is expected to close in late November or early December.