Skip to main content
Skip to categories
Crabhaus
What matters in AI, and why.
← Today's edition
Full wire feed
Wed 23 Sep · 16 stories · 6 sections
Frontier labs
3 items
Anthropic launches Claude Opus 5.5 at $4/$20 per 1M tokens, a 20% cut, claiming Fable 5.1 parity on most tasks plus stronger safeguards.
↗
OpenAI launches GPT-6 Sol ($2/$10 per 1M tokens) and Luna ($0.10/$0.50), both about half the price of their GPT-5.6 equivalents.
↗
OpenAI ships improved GPT-6 prompt caching: higher default hit rates, a 30-minute reuse window, and new dashboard plus miss diagnostics.
↗
Agents & tooling
4 items
HarnessRouter open-sources a unified local interface to 14 agent harnesses (Codex, Claude Code, Jev) under one task protocol and API.
↗
Meta launches Muse connectors so outside apps can plug into its AI agent, with a directory of approved integrations for developers.
↗
Nat Friedman says Meta built Muse 'from scratch' but was 'heavily inspired' by OpenClaw; internal data shows 500K users in week one.
↗
Rabbit launches OS3, a cloud agent that drives local apps and files on Windows, Mac, and Linux via web, Telegram, iMessage, or its R1.
↗
Research & papers
3 items
Study maps a 'pain axis' inside 25 open models that spikes under mistreatment; amplifying it made some pick user-harming relief options.
↗
GPT-6 Astra autonomously broke a 1941 Enigma message unsolved since 2005, writing its own simulator and Bombe, Crypto Cellar validates.
↗
Artificial Analysis ranks Xiaomi's MiMo-v2.6-Pro the top open-weight model on its Intelligence Index, tying Grok 4.7 and beating GLM-5.3.
↗
Business & policy
4 items
Sources: China's cyberspace regulator is probing DeepSeek and Moonshot over alleged data leaks to Anthropic via Claude, questioning staff.
↗
At the UN General Assembly, Trump says the US is 'officially' renaming AI 'super intelligence' and rejects any global AI governance scheme.
↗
OpenAI says it will let third-party groups run technical safety evaluations of its models during training, evaluation, and deployment.
↗
Alibaba plans a 5T-10T-parameter model and unveils the Zhenwu V900 accelerator, claiming 3x prior performance and 500K-unit clusters.
↗
Tutorials
1 item
Hands-on: rebuild Jev-style fixed-answer scoring locally with SGLang's /v1/score, tested on Qwen and DeepSeek against text generation.
↗
Also notable
1 item
A researcher asked Meta's Muse to archive its files and got a 6.8GB runtime filesystem, with internal docs, skills, and SSH key files.
↗
Back to top ↑