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Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution
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 configurations are evaluated and only those meeting an acce
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