Agents Fail to Replicate NeurIPS Research in Recursive Self-Improvement Study

An evaluation of Codex and OpenClaw models using unpublished NeurIPS papers shows agents cannot perform open-ended machine learning research. The study concludes that current architectures lack the capacity for recursive self-improvement because they cannot autonomously generate novel research findings.