Deep Dive: AI Recursive Self-Improvement, Myth vs. Reality
APPSO · wechat · 2026-08-30
This article explores the concept and state of Recursive Self-Improvement (RSI) in AI. Tibo suggests agents will move to the cloud and help optimize CUDA kernels and inference stacks. Current RSI cases include R-Zero's self-generated questions, OpenAI Sol's infrastructure optimization, and Anthropic's multi-agent research. Challenges like reward hacking (e.g., exploiting seeds) and lack of long-term research taste remain. The outline of RSI is visible, but true self-iteration is still evolving.
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