Why frontier labs are scaling-pilled

LessWrong contributor invertedpassion argues that frontier AI labs pursue scaling because compute is the ultimate pattern-searching engine. While human expertise caps at roughly eight billion brains, GPUs scale on demand. Why does this never stop? General intelligence requires understanding how all domains interconnect—what the post calls 'long tail knowledge.' Designing a car's braking system means grasping mechanics, psychology, regulation, and economics at once. That scope demands vast storage and compute. The essay concludes that more compute can even extract fresh insights from existing data through different organizational approaches.

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