Andrew Hires is a USC neurobiologist turning massive brain datasets into insights, and in January 2025 his lab released WhACC, a tool that cuts human labeling for whisker touch videos from about 333 hours to roughly 6 hours per 100 million frames, a leap that makes real time neuroscience and AI research possible today. He is now explicitly using recent AI advances to mine years of large scale neural recordings for the underlying principles of biological intelligence, which puts him at the center of the AI meets brain science moment in 2026.
Dwarkesh’s show reaches a uniquely influential AI audience, averaging about 1.1 million views per 2025 episode, so Hires explaining how to extract intelligence from living circuits has outsized leverage on how labs and companies act right now. To our knowledge Hires has not been on the Dwarkesh Podcast before, so this is fresh ground for the show and its audience.
If you want this timely conversation to happen, support this nomination today.
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