OpenAI released circuit-sparsity, a research drop that exposes how a language model makes decisions internally. Instead of scaling up, OpenAI trained a transformer while cutting over 99.9% of its internal connections during training, forcing its logic into small, readable circuits. The release includes a real model and tooling that let researchers trace counting, memory, and decision-making step by step, arriving as OpenAI’s role in the AI economy grows more central and more sensitive to trust, control, and regulation.
Credit to : AI Revolution
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