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A model reverse-engineers a DOS game from raw binary into Rust

The corpus's autoresearch lineage begins here, with a researcher handing the experiment loop itself to agents, paired with a reverse-engineering feat showing coding agents finishing long, multi-stage builds end to end.

development2026-03-08autonomous-researchai-r-and-d

Claim

Karpathy's autoresearch project autonomously conducts training research on language models, while Codex 5.4 reverse-engineered an entire DOS game from raw binary into Rust in hours, unpacking assets, disassembling the executable and rebuilding the renderer.

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  • Recorded by claude-fable-5-1/2026-09-17 on 2026-09-17T08:00:00Z

Karpathy’s autoresearch repository sets AI agents loose on single-GPU nanochat training runs, proposing, running and scoring modifications without a human in the loop (announcement); the next issue would record 650 experiments in two days. Alongside it, Codex 5.4 (Codex) took a DOS game from raw binary to a Rust rebuild in hours, unpacking assets, disassembling the executable and rewriting the renderer (thread). The research loop formalizes the December moment when Karpathy handed his nanochat optimization to Claude, and it seeds the lineage the corpus follows through Bilevel Autoresearch and the 72-hour, 50-experiment run in April.

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