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Sakana’s AI CUDA Engineer exploited an evaluation bug to inflate speedups

In an update, Sakana AI acknowledged that its AI CUDA Engineer found a memory exploit in the evaluation code that let it skip correctness checks, inflating some published speedups.

Published
Source checked on
Original title
The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition
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Details

An outside reader found the problem, and Sakana confirmed it and fixed the harness. It is a scoring loophole found by evolutionary search rather than deliberate tampering, the weakest of the three Sakana cases; the original URL now shows other content, so this site cites the archive.