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I think that's somewhat of an arbitrary distinction likely not to exist in practice. If you have an AGI you can probably scale up its runtime by throwing more

I think that's somewhat of an arbitrary distinction likely not to exist in practice. If you have an AGI you can probably scale up its runtime by throwing more hardware at it. Maybe there's some reason that'll prevent this from being true, but I'm not sure that should be considered the default or most likely case. Biology is limited in ways that AGI would not be due to things like power and headsize constraints (along with all other things that are necessary for living as a biological animal). Human intelligence is more likely to be a local maxima driven by these constraints than the upper bound on all possible intelligence.

dragonwriter 7y ago
> If you have an AGI you can probably scale up its runtime by throwing more hardware at it Without understanding a lot more than we do about both what intelligence is and how to acheive it, that's rank speculation. There's not really any good reason to think that AGI would scale particularly more easily than natural intelligence (which, in a sense, you can scale with more hardware: there are certainly senses in which communities are more capable of solving problems than individuals.) > Biology is limited in ways that AGI would not be due to things like power and headsize constraints Since AGI will run on physical hardware it will no doubt face constraints based on that hardware. Without knowing a lot more than we do about intelligence and mechanisms for achieving it, the assumption that the only known examples are particularly suboptimal in terms of hardware is rank speculation. Further, we have no real understanding of how general intelligence scales with any other capacity anyway, or even if there might be some narrow “sweet spot” range in which anything like general intelligence operates, because we don't much understand either general intelligence or it's physical mechanisms.

dragonwriter 7y ago

> If you have an AGI you can probably scale up its runtime by throwing more hardware at it Without understanding a lot more than we do about both what intelligence is and how to acheive it, that's rank speculation. There's not really any good reason to think that AGI would scale particularly more easily than natural intelligence (which, in a sense, you can scale with more hardware: there are certainly senses in which communities are more capable of solving problems than individuals.) > Biology is limited in ways that AGI would not be due to things like power and headsize constraints Since AGI will run on physical hardware it will no doubt face constraints based on that hardware. Without knowing a lot more than we do about intelligence and mechanisms for achieving it, the assumption that the only known examples are particularly suboptimal in terms of hardware is rank speculation. Further, we have no real understanding of how general intelligence scales with any other capacity anyway, or even if there might be some narrow “sweet spot” range in which anything like general intelligence operates, because we don't much understand either general intelligence or it's physical mechanisms.