A formal-style claim that loss-minimizing weighted learners cannot avoid catastrophic forgetting or overfitting, with a limited demonstration on the author's own world-modelling algorithm.
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Optimisation Is Not What You Need
A formal-style claim that loss-minimizing weighted learners cannot avoid catastrophic forgetting or overfitting, with a limited demonstration on the author's own world-modelling algorithm.