Recursive Harness Self-Improvement
Under model--harness co-evolution, harnesses are not merely inference-time scaffolds but data-generating components whose execution traces can shape future foundation models. This motivates harness-in-the-loop learning: optimizing harnesses for both immediate agent performance and the quality of traces used for future model training. However, continually updating provider-built scaffolds is costly and labor-intensive. We therefore investigate whether optimizing user-constructed harnesses in a ta
Record details
Published: 16 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Jobs & economy · Agents & autonomy · Finance, VC & PE
Retrieved: 20 July 2026
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ethics.ai (16 July 2026), “Recursive Harness Self-Improvement,” evidence record 11746, https://ethics.ai/record/11746 (originally published by HuggingFace Daily Papers).
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