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Autonomous experiment loop
Autoresearch
A research agent needs a tight loop: edit, train, measure, keep or discard, and leave a reviewable trail.
What I built
Local experiments around Karpathy's autoresearch setup: a small LLM training harness where agents modify the training file, run fixed-budget experiments, compare validation loss, and iterate.
Stack
PythonPyTorchuvLLM agents
Status
Fork/reference workflow; phrased carefully
The local checkout tracks karpathy/autoresearch. This portfolio describes experimentation around the workflow, not authorship of the upstream project.