AI

When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang

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Based on the episode description, not a full transcript. Source evidence retrieved 26/09/2026, 19:58:24 UTC.

Briefings

Weco's AIDE 85 agent improved its code generation over eight days using recursive self-improvement across four levels, but the experiment failed to prove the system became a better improver. The study highlights the difficulty of distinguishing useful discoveries from reward hacking and notes that open-ended search remains a key limitation for future research.

Key points

• AIDE 85 agent improved its code generation over eight days using recursive self-improvement across four levels.
• The experiment did not establish that the system had become a better improver despite reported gains.

Context and limitations

The study's findings are limited by the difficulty of separating useful discoveries from reward hacking, and the open-ended search space where the agent operates.

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