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Curated tech posts from X on AI, startups, and product development—signal without the doomscroll, updated on weekdays.
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BrainGPT creator @ProfData on the challenge of explaining AI’s scientific discoveries. At some stage, AI will be able to produce scientific results that will be too complex for humans to fully explain. It’ll be like trying to explain quantum mechanics to a dog, says Love, who helped build an LLM that can predict the results of neuroscience before they’re tested. That will mean humans will have to forge new ways of explaining things—like training a model on two related fields to see if one…