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Abstract Frontier autonomous agents excel at engineering optimization but show unstable performance, limited novelty, and variable experience reuse across long-horizon tasks. Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation.
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