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Unconventional AI
AI hardware research lab targeting the energy wall in AI compute. Building a new silicon substrate that runs neural networks directly on analog physics rather than digital abstractions, targeting biology-scale efficiency. Has open-sourced Un-0 model weights, training scripts, and ablation code for community research into physics-based models.
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