Science's observability problem: AI designs molecules, but validation bottlenecks persist
AnneliesGamble · x · 2026-09-02
The article highlights that while AI has made molecule design easier and cheaper, proving these designs work in humans is becoming an increasing bottleneck. This is due to constraints in chemical synthesis, the cost and duration of clinical trials, and a lack of knowledge about actual lab procedures. Scientists typically record conclusions rather than process details, leading to high failure rates during technology transfer, such as handing off to contract manufacturers. This "observability problem" is a key, high-cost hurdle in modern R&D.
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