SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness

A new method recursively scales auto-research loops to improve AI agent harness efficiency, potentially accelerating autonomous AI research capabilities.

Auto-scored: Recursive auto-research loops represent a real capability escalation in autonomous AI research, raising concerns about rapid progress and loss of oversight.