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Pretraining Language Models via Neural Cellular Automata


What if the path to smarter language models doesn't require more text — but synthetic data from abstract dynamical systems? Large language models are hungry. They require exponentially more data to keep improving, and high-quality natural language is projected to run out by 2028.

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