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Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.35855v1 Announce Type: new Abstract: Optimizing deployed AI systems increasingly amounts to editing prompts, skills, harnesses, and code rather than model weights. Existing approaches commonly optimize these artifacts through propose-evaluate-select procedures, where candidate configurat…

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  1. 2026-09-30 04:00 · arXiv cs.LG
    Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution

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