Explores data optimization via isomorphisms in topological thermodynamics and language models, suggesting innovative applications.
Paper 53 does not claim that spacetime is literally a transformer or that transformer training already reproduces the Standard Model. It does claim that the verified QGEFT repository now supports a disciplined optimization-theoretic isomorphism in which the four force-like channels can be read as attention/generalization, rigid embedding lock-in, catastrophic interference management, and pruning/regularization inside one common error-reduction architecture.
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Yaniv Cohen (2026) studied this question.
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