Pretrained transformers and RNNs linearly encode the Bayesian-updated belief geometry of the minimal classical, quantum, or post-quantum generator of their training data.
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Neural networks leverage nominally quantum and post-quantum representations
Pretrained transformers and RNNs linearly encode the Bayesian-updated belief geometry of the minimal classical, quantum, or post-quantum generator of their training data.