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Anthropic and OpenAI researchers warn recursive self-improvement is accelerating

Researchers at Anthropic and OpenAI say AI is speeding model development faster than expected, raising fears that recursive self-improvement could outpace human control. Anthropic alignment lead Evan Hubinger put the chance of AI causing human extinction within a decade above 10%.

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Factory Droid 0.250.0 shows each session's PR state and asks before its browser panel opens other apps

Released Oct 27 with Desktop 0.207.0, sessions now show whether their pull request is a draft, open, merged or closed, and long sent messages collapse behind Show more. The browser panel now denies device access and asks before opening another app, opening a saved session from another folder asks for folder trust first, and Slack only opens a channel for real code changes…

Factory Changelog

Copilot CLI 1.0.104 lets Autopilot wait on background tasks and drops the experimental flag for Assisted Permissions

Released Oct 27, interactive and SDK Autopilot sessions now keep waiting for attached background tasks instead of quitting at COPILOT TASK WAIT TIMEOUT SECONDS ( p autopilot still honors it), and Assisted Permissions work without turning on experimental mode. Auto also falls back to its default when a saved preference disappears, instead of failing every turn…

Claude Code 2.1.311 compacts past 200K tokens instead of stopping, and lets ultrathink raise effort mid-turn

Released Oct 26, standard context sessions that run over 200K tokens now compact and keep going instead of stopping with "Usage credits required for 1M context", and typing ultrathink while Claude works bumps the rest of that turn to xhigh effort. It also fixes startup freezes from long CLAUDE.md list items, Write and Edit stalling on huge files, and subagents missing MCP tools from servers that connect late…

Hob is an MIT-licensed desktop app that works on your files like Claude Cowork, with the model on your machine

Shown on HN Oct 26, Hob runs open weight models (Gemma 4, gpt oss) through llama.cpp on Mac, Windows or Linux, picks one for your hardware, and can read and edit a folder, look at images, add MCP connectors and run Python in a sandbox that only writes to the chat's folder with no network unless asked. Only web search and MCP connectors you add go online, and one tester notes it pulled about 18 GB of models with no cleanup yet…

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