Claude Adds Ability to Import Memory From Other AI Providers
Anthropic added a memory import tool that lets you copy your context and preferences from ChatGPT, Gemini, or any other AI provider into Claude in under a minute.
Anthropic added a memory import tool that lets you copy your context and preferences from ChatGPT, Gemini, or any other AI provider into Claude in under a minute.
A*-PO is a new RL training algorithm for LLMs that precomputes an 'optimal value' offline, then trains with just one sample per prompt instead of many. It matches or beats PPO and GRPO at up to 2x faster speed and 30%+ lower memory.
Researchers from ETH Zurich and Anthropic show that LLM agents can re-identify pseudonymous online accounts at scale — achieving up to 68% recall at 90% precision compared to near 0% for the best classical methods. The assumption that posting under a pseudonym is safe no longer holds.
Jack Dorsey announces Block is cutting over 4,000 employees — nearly half its workforce — citing AI-driven changes to how companies operate. The stock jumped almost 25% after hours.
Anthropic is giving up to 10,000 open-source maintainers free Claude Max 20x subscriptions for six months.
Anthropic shipped auto-memory for Claude Code. Claude now persists project context, debugging patterns, and preferences across sessions without manual setup.
Google locked AI Ultra subscribers out of Gemini models for using OpenClaw OAuth, with no warning or explanation. Anthropic banned third-party access two days earlier.
A randomized trial found that developers using AI assistance scored 17% lower on a skills test without gaining any speed advantage. The finding matters, but the study design limits how far you can take it.
A Ramp study using real firm-level spending data finds businesses are rapidly substituting freelancers for AI — with the heaviest spenders seeing $1 of AI replace $33 of freelance labor.
SkillsBench tests whether structured knowledge packages improve LLM agents across 84 tasks. Curated Skills add 16pp. Self-generated Skills add nothing, or make things worse.
An ETH Zurich study tests whether AGENTS.md and CLAUDE.md files actually help coding agents. LLM-generated context files reduce success rates while adding 20%+ to costs. Human-written ones barely help.
A proposed LLM benchmark: feed a model pre-earnings data, have it forecast the results, compare to actual. Here's why it's worth building — and why today's models make it more interesting than ever.
Anthropic updated its Claude Code docs to ban OAuth tokens from being used in third-party tools. The community exploded. Then Anthropic said nothing was changing.