AlphaEvolve: A coding agent for scientific and algorithmic discovery
What this work does
Evolves executable candidate programs with an LLM ensemble, a program database and task-specific automated evaluators, using successful candidates and feedback in later prompts.
Connection to discovery
A strong frozen-model search baseline when evaluating the benefit of weight updates in discovery.
Evidence
The inspected white-paper body distinguishes the scientist-supplied initial program and evaluator from the search system, and explains candidate filtering and population reuse.
Scope and limitations
The automatically evaluable objective and program representation are supplied. Improving infrastructure used for AI training is not the same as the LLM updating its own weights during search.
THE RESEARCH CONVERSATION
Discussion & reactions
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