A Nov. 2–8 roundup covers AI memory, biology research, coding and model weights, video tools, and shared ChatGPT and Codex limits.
What Anthropic, OpenAI, Google And Others Did In AI This Week
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What Running Memory-Enabled AI Agents Taught Us
Anthropic’s Nov. 6 research post describes agent memory components and reports results from internal tests; a separate operator shares five lessons.
What Does “No Humans Involved” Mean For Terminal-RSI?
A preprint reports benchmark gains from a staged terminal-agent training pipeline, but humans designed and managed every stage.
The Anthropic Findings That Put AI Development Under The Microscope
A METR assessment estimates Anthropic’s AI capability progress accelerated 1.9x, while most of its supporting evidence remains redacted.
How A Boring First Video Helped Me Learn AI Production
Thorsten Meyer says a first AI-generated explainer fell flat. Measured changes and review gates shaped a better video workflow.
How To Think About Weight Space Programming And AI Model Rewriting
An MIT CSAIL project tested whether an AI can read and edit neural-network weights directly. Early results are promising but limited.
What Egyptian And Nigerian English Bring To The Open ASR Leaderboard
Hugging Face adds 2.89 hours of private Egyptian and Nigerian English speech to its Open ASR Leaderboard for accent-specific evaluation.
OpenAI’s ChatGPT Search Claim: Comparing The Figure With Google Data
OpenAI says ChatGPT handles one-fifth of Google’s query volume, but the comparison is undefined and independent measures vary widely.
How To Build Responsible AI Infrastructure
OpenAI published a page titled “Setting a new standard for responsible AI infrastructure,” but available details do not establish its measures or timeline.
Introducing Images 2.6: A New AI Image Generation Release
OpenAI has published an announcement titled “Introducing Images 2.6,” but available details do not confirm its features, access or release date.
