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Comment by munksbeer | Hacker News Reader

> Chiang has it exactly right with his doubts, and the notion that pattern recognition is little different from the deeply complex navigation of reality we living things do is the badly misguided notion.

How do you know this?

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The same way that we know interpolation of a linear regression is not the same as the deeply complex navigation of reality we do as living things.

I notice that often in these debates someone will make the comparison between a low level mechanism driving LLMs, and a high level emergent behavior of the human mind. I don't think it's deliberate - we don't fully understand how the brain works so we only have emergent behaviors - but how can you be so certain that deeply complex navigation of reality can't emerge from interpolation of a linear regression?

That's a good question. With sufficient dimensionality, interaction terms, and enough linear regressions, I suppose it's possible. But dynamic and reactive coordination of many multiple linear regressions wouldn't be just a linear regression. The output of a linear regression is simplistic just like LLM token prediction is simplistic. Saying something might be a component of eventual intelligence is far from it being intelligence. LLMs are episodic responses to a fixed context by a fixed model that is programmed to predict tokens. Even the CoT models, while more complex, still use a static model with a recursive feed of model outputs back to the model. I think Dr. Chollet does an excellent job of identifying the fundamental difference between a potential AGI and static models in his ARC-AGI papers and presentations.

> but how can you be so certain that deeply complex navigation of reality can't emerge from interpolation of a linear regression?

That was pretty much my question. Why are people so certain on the topic.

I wasn't trying to be flippant but challenge the excessive confidence people have on this topic.

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