Statistical approximation is not general intelligence

A model that predicts the next token well is not, for that reason, thinking. It is an extraordinary act of compression: the shape of everything we have written, folded into weights, and unfolded one token at a time. That is not nothing. It may be most of what we call fluency.

But fluency is not understanding, and approximation is not intelligence.

The gap shows up in the places that matter. A system can complete the sentence and miss the thought. It can reproduce the form of a proof without the necessity that makes it true. It can be confidently, fluently wrong in ways no reasoning mind would be, because it was never reasoning. It was sampling from the past.

Maybe there is no line, and reasoning is approximation all the way down, and we are flattering ourselves.

I don't believe that yet. There is something in the difference between predicting what comes next and knowing why it must. Finding that something, in the machinery, is the only question I find worth the years.