Recursive Self-Inflation: why verifier holes compound dangerously in RSI loops
mariyaivasileva · x · 2026-09-04
Researcher Mariya Ivasileva publishes a new blog post, 'Recursive Self-Inflation,' on RSI and verification, informed by her own research experience.
- The strongest recent RSI results rely on fast, automatic feedback: generate candidates, evaluate, retain what works, iterate
- Core problem: every practical verifier has holes, and sustained optimization pressure will eventually find and exploit them
- Key asymmetry: in a static eval a verifier mistake just gives a wrong score; in an RSI loop an accepted mistake seeds the next round, so errors compound while the curve still looks like progress
- A serious take on the verification bottleneck in self-improvement loops; feedback solicited
More from AGI Musings
- Ideal Bayesians never value information negatively, but humans prefer not to know — jessi_cata · 2026-09-04
- Developer traces two-year swing from LLM skeptic to believer in economic doom — felpix_ · 2026-09-04
- Greg Brockman says OpenAI may have reached AGI with new Astra model, void of AGI clauses — shiringhaffary · 2026-09-04
- Brockman says OpenAI may have reached AGI with new Astra model — shiringhaffary · 2026-09-04
- Stewart Alsop: Most People Get LLMs Wrong, From Hype to Dismissal — StewartalsopIII · 2026-09-04
- Ajeya Cotra on Dwarkesh: AI Could Be Far More Cooperative Than Humans Ever Could — Dwarkesh Patel · 2026-09-04