Andrej Karpathy Joins Anthropic's Pre-Training Team to Drive Recursive Self-Improvement Using Claude

Andrej Karpathy, one of the most respected AI researchers alive and creator of the YouTube lectures that taught half the developer community how neural networks work, has joined Anthropic's pre-training team. This marks the third senior OpenAI figure to defect to Anthropic in under two years, following Jan Leike (May 2024) and John Schulman (August 2024).
What Karpathy Will Do
Karpathy is joining the pre-training team under Nick Josef and building a new team focused on using Claude to accelerate pre-training research. This means Anthropic is betting that Claude can help make itself smarter — a recursive self-improvement loop — with one of the most capable researchers in the world leading it.
Timing and Implications
The announcement came the day after the Musk trial verdict ruled in Sam Altman's favor. The timing is either coincidental or the most savage talent acquisition move in tech history. Polymarket gives Anthropic a 67.5% chance of going public before OpenAI, and commentators expect Anthropic's IPO to be more successful than OpenAI's.
Ecosystem Growth
The ecosystem around Claude is strengthening monthly: connectors let Claude orchestrate professional creative tools natively, the API enables platforms like Magic Hour and Kling to plug video generation into Claude-powered pipelines, and finance templates allow entire industry workflows to run through Claude. Now, the guy who built Tesla's self-driving stack is improving pre-training.
📖 Read the full source: r/ClaudeAI
👀 See Also

OpenClaw 5.2 Migration Breaks Cron Jobs and MCP Plugin Calls
Upgrading from OpenClaw 4.23 to 5.2 causes MCP tool plugins to be visible but not callable by the agent, and cron job registration via CLI fails with device pairing errors.

Analysis of 413K AI Agent Runs Reveals What Makes Them Succeed
An analysis of 413,278 AI software engineering agent runs from the CoderForge-Preview dataset shows that human software engineering best practices often harm agent performance. The data reveals specific patterns that separate successful from failing runs on the same problems.

Slack Rate Limit Changes Break OpenClaw Context Retrieval
Slack changed rate limits on March 3rd, restricting conversations.history and conversations.replies to 1 request per minute with 15 messages max for non-Marketplace apps. This causes OpenClaw agents to lose 85% of their context window.

Gemini 3.1 Flash Live: Google's latest audio model with improved benchmarks and watermarking
Google released Gemini 3.1 Flash Live, an audio model scoring 90.8% on ComplexFuncBench Audio and 36.1% on Scale AI's Audio MultiChallenge. It's available via Gemini Live API in Google AI Studio and includes SynthID watermarking.