AI can always do *specific* things -- as long as they're sufficiently specific and you're investing sufficient effort / data. The problem with AI isn't that it can't do a specific X, it's that it has basically no intelligence at all at this time. No general cognitive abilities.
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Intelligence simply means moving to a different part of the specificity / effort spectrum, one where you can master broad tasks with little effort. You can always make up for a lack of intelligence by reducing task uncertainty (making X more specific) or investing more effort.
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No matter how stupid the student, they can always pass the exam if you give them a set of problems very similar to what they will be tested on (reduced task uncertainty), and if they're willing to spend countless hours studying them (more experience).
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What's hard is to improvise from little experience in the face of high uncertainty and novelty. That's what biological intelligence has evolved for. That's what current algorithms and models can't do at all.
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100%. So tired of people inside and outside the field pointing to something AI cannot do, as if that raises their IQ.
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I think you are missing the main point of the thread which is AI is not Intelligence if any task it can do must first be very narrowly specified.
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What's the von Neumann line? (having trouble googling it). Something to the effect of "Tell me something machines can't do and I'll build you a machine that can do it"
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I think Douglas Hofstadter had the right of it - the difference between human intelligence and any kind of machine intelligence that's remotely on the horizon lies in the ability to decide between tasks, invent new skills, decide when to learn a new skill - that sort of thing.
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People really mean AI can't do X without a human doing a massive amount of work to build a factory to allow humans to build and train and AI to do X. They mean ROI.
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