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An AI-inspired case for studying the brain at scale
Replying to a post suggesting some systems neuroscientists feel “research depression,” a commenter urges larger efforts to understand the brain’s model of the world and self.
TLDR
One poster says conversations with colleagues have reinforced a feeling that many algorithm-focused systems neuroscientists face a “research depression.” In a reply, another commenter argues that AI’s impact came from scaling transformers to solve problems. They hope larger-scale neuroscience could help explain intelligence and consciousness, and see foundation models as useful for combining data across sessions and subjects—not as an answer to understanding the brain.
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