Zhang et al.: archive-based empirical self-modification of coding agents

What is recorded here?

Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself.

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Scientific scope

Frozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.

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People and systems

Jenny Zhang; Shengran Hu; Cong Lu; Robert Lange; Jeff Clune

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