> I know you have a prolific reputation, and I mean this sincerely, but did you actually read the link? I did, and all the comments, to see where you were mist

> I know you have a prolific reputation, and I mean this sincerely, but did you actually read the link? I did, and all the comments, to see where you were mistreated so badly that you'd drag it up 8 years later, like the Bourbons, having forgotten nothing and learned nothing. > The point was that with power constraints, the class of possible algorithms is restricted heavily, requiring development of an understanding closer to what algorithms a person must use in their mind. That's not true at all: it is not true that intelligences must exactly imitate humans to be intelligent, and if it was, it would not be true either as a lower bound, upper bound, or average case that an algorithm using the same energy as a human must be isomorphic to the human algorithm. Consider deep learning. The more compute it uses, the better it gets, and the more human-like the results are, and this is true despite the fact that they typically use more power than a human brain even at the smaller scales where they are often among the worse-performing and still-power-hungry of methods, and power consumption goes up from there; by your logic, they would be getting even less human-like, if power consumption and algorithmic equivalency were so inextricably intertwined. But they aren't. 'The bitter lesson' is itself a disproof of your claim that power efficiency has anything to do with potential for future progress or human-like-ness of algorithms. > But that doesn’t mean it’s an ok trade-off for the philosophical side of the questions, like approximating a Turing test or understanding how far we must go from modern deep neural networks to the algorithms an actual brain is using. And, ultimately, these will move from being philosophical issues to being practical ones. None of that follows. I made this quite clear, that this is why your complaints are irrelevant or applicable only to the most narrow economic situations. Does a plane not travel faster than a bird because it uses many more joules to do so? We can use far more resources than we do, and all of the consequences of AI can still follow. (This also holds for the silly arguments that computational complexity somehow means that AI can't work or can't be a threat: https://www.gwern.net/Complexity-vs-AI https://www.gwern.net/Complexity-vs-AI ) Everything about superintelligence, AI risk, new breakthroughs, all of that can still follow even if an AI uses 10, 1000, or 10,000x more joules to accomplish a task. Humans themselves use astronomical amounts of energy compared to, say, insects; does this mean humans are not intelligent, and insects should be questioning whether humans are, on a philosophical level, as powerful intelligences as insects are, since we need so many additional calories to solve basic vision and navigation tasks? Who cares if we are being eaten by gray goo and you go 'ah, well, it requires several orders of magnitude and therefore isn't really real AI, this gray goo would be more impressive if it solved stuff within human-level time or energetic constraints'?