AI in bio researchers warn: too many tool builders and benchmarks, too little real science
anshulkundaje · x · 2026-10-24
A researcher in AI-driven biology argues the field risks disappearing into meta-work: building tools, testing tools, running benchmarks, building new benchmarks to test the new tools, and comparing today's buzzy tool to yesterday's — while the actual science never gets done.
The post resonates with Gokul Rajaram's observation that "too many AI startups are selling picks and shovels. Not enough are actually mining the gold." Together they point to a shared critique: the tooling-and-evaluation loop has become self-sustaining, crowding out real application and discovery.
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