LLMs are predictive associative token algorithms

Ah, so they produce parts of words instead of whole words at a time. Totally different.

with a degree of randomness and self reflection.

And they’re hooked up to random number generators so if you give it the same input twice you’ll get different output. Totally makes it smarter.

A key aspect is that anything can be a token

…much like predictive text. Rarely will you find one that doesn’t suggest punctuation on occasion.

they can self feed their own output

…much like predictive text.

as well as output control input for other algorithms.

Oh, so you can tell it to suggest certain tokens more or less often. How fancy.

It remains to be seen whether the core of human intelligence is much more than that.

I mean, I’d say the ability to visualize things and reason about scenarios it hasn’t experienced before are a good start.