A new paper introduces PhysRSI-eval, a five-axis metric for quantifying physical Recursive self-improvement (RSI) in LLM-as-policy systems, measuring First-Attempt Performance, Efficiency, Success, Budget and Improvement from failure. The work examines the mechanisms, scaling behavior and generalization of physical RSI, though the source provides no reported results, model names or numerical findings.
In this paper, we systematically investigate the mechanisms, scaling behavior, and generalization of physical Recursive self-improvement. We introduce PhysRSI-eval to quantify physical RSI through a five-axis metric: First-Attempt Performance, Efficiency, Success, Budget and Improvement from failure
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