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Continual learning is achieved without any parameter updates by performing in-context Bayesian inference over a learned latent concept space.
LLM development is flying blind by ignoring causal inference, leaving models vulnerable to confounding and distribution shifts throughout pretraining, alignment, and evaluation.
