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Skill drift erases 52 to 93 percent of the gain in agent tests

Worst-case success is 5 to 13 points below the peak for each pair of agent and skill bank.

Researchers found that agents that train together with their skill banks become easy to damage when skills change after deployment. In 4 methods and 5 benchmarks, worst-case success was 5 to 13 points below the peak. This erased 52 to 93 percent of the gain.

Sources

  1. Evolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving Agentsarxiv.org
AI MATTER · NEWS · AI MATTER · NEWS ·16 OCT2026

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