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The Cognitive Revolution
Detailed conversations with AI researchers and builders about frontier models, agents, safety, policy, and the path toward advanced intelligence.
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Distributed Training, Decentralized AI: Prime Intellect's Master Plan to Make AI Too Cheap to Meter
Vincent WeisserJohannes HagemannErik TorenbergNathan Labenz
Prime Intellect is building an asset-light marketplace across fragmented clouds and data centers, while Intellect-1 demonstrated 10-billion-parameter distributed training using DiLoCo and 8-bit updates to cut communication roughly 400x.R1-style reinforcement learning could improve decentralized scaling by shifting compute toward inference-heavy rollouts, but efficient participation beyond about 16 workers, fault tolerance, safety, governance, and the planned tokenized foundation remain unresolved.