A curated list of public use cases for "autoresearch"—where an AI agent autonomously edits code, runs experiments and evaluates results in a loop—has been published, spreading applications well beyond machine learning. The origin is the open-source project autoresearch released by Andrej Karpathy around March 2026; several spin-off "awesome" lists now aggregate examples, including optimization traces and open-source implementations.
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