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The case for looking beyond benchmark speed in AI-optimized software
A user argues that models can produce results that look fast on a benchmark but fall short when no one examines the approach.
TLDR
A user says they keep seeing people ask AI models to optimize an end goal without looking at how they do it. The result can look fast on a benchmark but still be poor software, they argue. Software engineering still matters.
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