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>> the ability to solve grade school maths problems would not be at all a predictor of ability to solve real mathematical problems at a research level

> If you want to solve grade school math problems, why not use an 'add' instruction?

Certainly the objective is not for the AI to do research-level mathematics.

It's not really even to do grade-school math.

The point is that grade-school math requires reasoning capability that transcends probabilistic completion of the next token in a sequence.

And if Q-Star has that reasoning capability, then it's another step-function leap toward AGI.




> Certainly the objective is not for the AI to do research-level mathematics.

The problem is that there are different groups of people with different ideas about AI, and when talking about AI it's easy to end up tackling the ideas of a specific group but forgetting about the existence of the others. In this specific example, surely there are AI enthusiasts who see no limits to the applications of AI, including research-level mathematics.


This is so profoundly obvious you have to wonder the degree of motivated reasoning behind people’s attempt to cast this as “omg it can add… but so can my pocket calculator!”




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