I think that research of this type may be very related for AI alignment. It seems really plausible that neural networks, or a little something similar to them, will be employed being a element of AGI. If that is the scenario, then we wish in order to reliably forecast and rationale regarding how neural networks behave in new circumstances, And exactly how they connect with other methods, and it is hard to imagine how that would be feasible with out a deep comprehension of the dynamics at play when neural networks understand from facts.
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As for the rest of your remark -- Whatever you’re saying here would seem genuine to me, but I’m not sure I see how any of this is a counterpoint to nearly anything we’re stating?
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I realize that result challenging to reconcile with both 파워볼 of those theoretical and empirical arguments for why SGD needs to be diverse than random sampling, like the experiments I ran and linked above.
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There remain some stray items, but I am now commonly convinced the headline assert is suitable: the overwhelming majority of inductive bias arises from the implicit prior to the community's parameter Place.
I do surprise the extent to which that insight is probably going to scale, while—perhaps the much more gradient descent you are doing, the more it starts to glance diverse from random look for and the greater the thing is its quirks.
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this hypothesis, or give a theoretical argument for it of the sort "Below's why, specified what we learn about math and about complexity theory, easy features really 파워볼 should enjoy larger volume in parameter-Room.
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