OpenMined's "Network Sourced" AI: Why Private Data Repositories Beat Total Ingestion
iamtrask · x · 2026-10-09
Responding to the data-selling prisoner's dilemma, Andrew Trask argues the world will shift from closed systems to networks of closed+open AI: firms fine-tune open-source models on private data, register them on a router, and sell per-prompt access — higher accuracy, lower cost than a centralized giant. His OpenMined essay lays out three information architectures: total ingestion into frontier models, today's legal-gray-area vacuuming, and "network sourced" AI, where systems act as orderly clients to private repositories that set their own disclosure conditions.
Related event: OpenMined Founder: Hybrid Open-Closed AI Networks Will Beat Centralized AI(2 posts)→
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