Reasoning models don't always say what they think

Re:Reasoning models don't always say what they think by voidspark on Thursday April 03, 2025 @04:04PM (#43574698)

AlphaGo Zero didn't just pattern match. It invented moves that it had never been shown before. That is generalization, even if it's domain specific. Humans don't apply Go skills to cooking either.

Calling it machine learning and not AI is just semantics.

For self updating I said it's an engineering choice. You keep moving the goal posts.

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Re:Reasoning models don't always say what they think by Jensson on Thursday April 03, 2025 @05:42PM (#43575817)

> That is generalization, even if it's domain specific

But that is the point, it is a domain specific AI, not a general AI. You can't train a general AI that way.

> For self updating I said it's an engineering choice. You keep moving the goal posts.

No, it is not an engineering choice, it is an unsolved problem to make a general AI that self updates productively. Doing that for a specific well defined problem with well defined goals is easy, but not general problem solving.

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Re:Reasoning models don't always say what they think by voidspark on Thursday April 03, 2025 @06:34PM (#43576284)

You are shifting the goal posts from AI to AGI. That's outside of the scope of the argument.

For self updating - yes it is an engineering choice. It's already engineered in some narrow cases such as AutoML

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