I feel that investigate of this type is quite relevant for AI alignment. It seems very plausible that neural networks, or a little something just like them, are going to be utilized for a ingredient of AGI. If that's the circumstance, then we want to have the ability to reliably forecast and rationale regarding how neural networks behave in new sit

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Finally, if we opt for a evaluate of simplicity that comes about to guage this subset to generally be unusually uncomplicated, then any prior that prefers mildly reasonable features (eg continuous types) will look like a simplicity prior.With this context, smoothness is a person such relevant evaluate: clean features have lower Kolmogorov complexit

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