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Top 5 · 2026-03-08 · source-backed
Andrej Karpathy released AutoResearch: a 630-line, zero-dependency system where an AI agent autonomously runs ~100 ML experiments overnight on a single GPU. The human only edits a Markdown instruction file; the agent modifies training code, evaluates validation loss, keeps or discards changes, and iterates at ~12 experiments/hour. Nearly 3K GitHub stars in days. This is the clearest expression yet of the "design the arena, let AI iterate" paradigm — the same pattern that made AlphaGo and MuZero work, applied to ML research itself. What to do: Clone the repo and try it on your own training loops. The pattern generalizes beyond nanochat. GitHub | HN
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autoresearch built by Andrej Karpathy / Shared entity: GitHub / Same source / Shared topic / What happened next
Linked by a graph relationship (autoresearch built by Andrej Karpathy); both cover GitHub; cite the same source (GitHub).
autoresearch built by Karpathy / Shared entities / Shared topic / What happened next
Linked by a graph relationship (autoresearch built by Karpathy); both cover Autoresearch, GPU; overlapping topics (agent, autonomously, autoresearch, experiment, research).
autoresearch built by Karpathy / Shared entities / Same source / Shared topic
Linked by a graph relationship (autoresearch built by Karpathy); both cover AutoResearch, GitHub; cite the same source (GitHub).
autoresearch built by Andrej Karpathy / Shared topic / Tension
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autoresearch built by Andrej Karpathy / Shared topic
Linked by a graph relationship (autoresearch built by Andrej Karpathy); overlapping topics (agent, andrej, karpathy).
autoresearch built by Karpathy / Shared topic
Linked by a graph relationship (autoresearch built by Karpathy); overlapping topics (andrej, chang, karpathy).
Linked by a graph relationship (autoresearch built by Karpathy); overlapping topics (agent, karpathy).
Linked by a graph relationship (autoresearch built by Karpathy); overlapping topics (agent, karpathy).