The human data an AI model would need to predict trial outcomes can only come from trials in people, so the loop runs no faster than the trials themselves.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. JDJeff Dean30 Jul 2026similar wording
• Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is. RTRuxandra Teslo28 Feb 2026similar wording
• Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans. ATAlex Telford23 Dec 2023similar wording
• We have neither the data nor the insight to use machine learning to pick drug targets that succeed in the clinic more often. DLDerek Lowe25 May 2023similar wording
• Learned approximations of slow simulators change what science is possible, by turning a six-month screening run into something you do over lunch. JDJeff Dean30 Jul 2026similar wording

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