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> Sure, you can pay more scientists and probabilistically increase the rate at which problems are solved, but you can't predict how long it will take, how much
by visarga 2y ago
> Sure, you can pay more scientists and probabilistically increase the rate at which problems are solved, but you can't predict how long it will take, how much failure it will involve, whether a particular scientist will solve a particular problem at all, whether that problem is even solvable in principle sometimes.
Fully agree, search is hard, unpredictable and expensive. Also a matter of luck, being at the right place and time, and observing something novel. That is why I put the emphasis of AI doing search, not just imitating humans.
- advael 2y agoOkay, but what does that mean? AI is a search process. Do you mean you want the AI to formulate queries? Test hypotheses? Okay. How? What does that mean? What we know how to do is to mathematically define objective functions and tune against them. What objective function describes the behavior you want? Is there some structural paradigm we can use for this other than tuning the parameters on a neural network through optimization toward an objective function? If so, what is it? I'm sorry to be a little testy but what you've basically said is "We should go solve the hard problems in AI research". Dope. As an AI researcher I fully agree. Thanks. Am I supposed to clap or something?