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The Karpathy Loop — AI Agents Running Autonomous Training Experiments
The "Karpathy loop" — autonomous AI agent research cycles that run and evaluate ML training experiments to discover improvements, April 2025–April 19 2026, including Karpathy's own explanations, independent commentary, and real-world implementations
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Synthesised 2026-04-19
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The "Karpathy loop" refers to an autonomous ML research cycle where an LLM-powered agent iteratively reads training code, proposes modifications, executes time-boxed experiments, evaluates outcomes, and repeats without human intervention. The term emerged from community discussion of Andrej Karpathy's March 2026…
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blogs
5 sources
Blogs & Independent Thinkers
The Karpathy loop emerges from March 2026 coverage as a watershed automation of ML research itself. Karpathy released autoresearch—a 630-line Python script that embodies the research loop: an AI agent reads its own training code, proposes hypotheses for…
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frontier
5 sources
Frontier Lab & Model News
In March 2026, Andrej Karpathy—independent researcher and former OpenAI/Tesla executive—released autoresearch, catalyzing mainstream coverage of what the AI community terms 'the Karpathy loop': an autonomous agent that iteratively reads training code…
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tech
5 sources
Tech Industry & Practitioner
In March 2026, Andrej Karpathy released autoresearch, an open-source system implementing autonomous research loops where AI agents iteratively propose, test, and evaluate changes to training code within fixed compute budgets (typically 5-minute GPU slots)…
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