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.

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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• There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. JDJeff Dean30 Jul 2026
• The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. NLNathan Lambert22 Sept 2026
• 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 2026
• 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 2023
• 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 2023

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