THE FIRST EXPERIMENTAL EVIDENCE OF RECURSIVE SELF-IMPROVEMENT

Summary from the TLDR AI newsletter

Researchers used autoresearch on an autoresearch agent over eight days. The results beat the harness they hand-tuned for two years. The fully autonomous system had an inner loop that optimized code against an eval and an outer loop that optimized the inner-loop agent's harness code against the inner loop's average score across different benchmarks. It designed a novel search algorithm, reduced prompt size by 16x, and built a layered system against reward hacking.