AI Is Starting to Build Better AI

The buried issue here is not whether RSI is happening but that the field cannot agree on a definition, which means safety frameworks and capability benchmarks are measuring different things depending on who is writing the spec. Regulatory bodies drafting rules around self-improving systems are effectively legislating a term that has no stable referent.

This connects directly to the ARC Prize Foundation analysis covered from The Decoder on May 2nd, which found that frontier models like GPT-5.5 and Opus 4.7 hit repeatable reasoning ceilings despite scale. If current systems cannot clear ARC-AGI-3 tasks that humans solve intuitively, the stronger claims about autonomous self-improvement loops deserve scrutiny. The definitional fight IEEE Spectrum surfaces also matters for the Bayes-consistent agentic orchestration argument from the arXiv position paper covered May 1st: if RSI includes any algorithmic involvement in model development, then principled control layers are already inside the boundary, which changes how that paper's recommendations get scoped.

Watch whether any major AI lab or standards body, particularly NIST or the EU AI Office, publishes a formal operational definition of RSI within the next two quarters. If they do, it will force the marketing claims currently circulating to either conform or be exposed as category errors.