AI isn't, but we don't have AI. We have LLM and ML.

Surely we can say that we have artificial intelligence. Even now reasoning models are able to pattern match well enough to solve IQ tests that have been turned into text for them.

But we can certainly say that we don't have artificial intelligences. There's nothing with coherent, total beliefs, something able to have actual knowledge (as a pet example I like, if you ask an LLM about a situation in the abstract it might respond correctly, but in another context it fails to use what it 'knows' in another context). I actually think much can be done about this, but we don't have it.

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tenuousemphasis 21 hours ago | parent [-]

No, because reasoning models don't actually reason.

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impossiblefork 21 hours ago | parent [-]

They generate non-output tokens that help correct generation. It is meaningful to call that reasoning.

After all, it can, with whatever secret tricks Google and OpenAI have, be used to solve IMO level maths problems.

If solving IMO problems can be done without reasoning, then what would be reasoning?

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southernplaces7 18 hours ago | parent [-]

>It is meaningful to call that reasoning.

This take on the nature of sentience and consciounsess, things we humans have, know we have, and which are quite distinct from unaware pattern-matching, is becoming foolish and tedious.

No, it's not meaningful to call that reasoning. Indeed it's wrong, because it's not reasoning. That would require sentience, and absolutely zero evidence indicates its presence in any LLM. Are some people so glittered by their algorithmic tricks with communication that they simply fall to near religious beliefs in a conversational LLM being an example of awareness?

computers have been solving mathematical problems for decades. Would you thus argue that those machines were also reasoning?

	▲	impossiblefork 6 hours ago \| parent [-]
		But consider it like this: the model lives in a reward environment where it's tasked with outputting prescribed text or outputting the answer to certain questions. Instead of just outputting the answer it generates non-output tokens based on which the probability of the answer that got it rewards before are increased. Is this not a sort of reasoning? It looks ahead at imagined things and tries to gauge what will get it the reward?