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Introduction Singular learning theory (SLT) is a theory of learning dynamics in Bayesian statistical models. It has been argued that SLT could provide insights into the training dynamics of deep neural networks. However, a theory of deep learning inspired by SLT is still lacking. In particular it seems important to...
Summary Bounded agents might be unaware of possibilities relevant to their decision-making. That is, they may not just be uncertain, but fail to conceive of some relevant hypotheses entirely. What's more, commitment races might pressure early AGIs into adopting an updateless policy from a position of limited awareness. What happens...