Auto-Architecture: Karpathy's Loop, pointed at a CPU
Contribute to FeSens/auto-arch-tournament development by creating an account on GitHub.
Auto-Architecture: Karpathy's Loop, pointed at a CPU launched on April 28, 2026 with 241 votes, #110 of 21,248 launches that month and more than 99% of that year's launches.
In plain words
Auto-Architecture is a CPU-focused tool that implements Karpathy's Loop, an iterative system for automated design optimization. It targets developers and engineers who need to refine computational architectures through repeated cycles of building, testing, and improving. The tool runs directly on CPU hardware, making it accessible without specialized accelerators. It was launched on GitHub as an open-source project.
written from the facts on this page · September 2026
From the sources
What happens when you take an autonomous research loop out of its comfort zone and aim it at a domain it has no business being good at? Andrej Karpathy's autoresearch showed that a coding agent, given two days and a single-GPU nanochat, finds 20 training-time optimizations on its own. The recipe is general — propose, implement, measure, keep the wins — but the demonstration was inside the agent's home turf: Python, gradient descent, well-known knobs. I wanted to know if it generalized. So I pointed it at a CPU. auto-arch-tournament is a 5-stage in-order RV32IM core in SystemVerilog — the textbook pipeline you'd write in a graduate architecture class. No caches, no branch predictor, no…from github.com
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