We dive into the Shanghai AI Lab’s self-harness idea—a three-stage loop (weakness mining, harness proposal, and proposal validation) that lets AI models inspect their own failures, propose minimal workspace edits, and sandbox-test changes before evolving. Explore how personalized, autonomous fixes improve unseen-task performance, the risks of self-modification, and what this could mean for scalable AI agents and future scientific discovery.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
Fler avsnitt av Intellectually Curious
Visa alla avsnitt av Intellectually CuriousIntellectually Curious med Mike Breault finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.
