David Shipley

but not real, not real, substantive, understood conversations.

Now the other one, the big word there, stochastic.

It refers to the same word as statistics.

These machine models pick the most likely thing to say given the context they're provided.

They just do math.

And so they have no idea what the meaning of the words are.

It's why they cannot tell you how many letters are the word strawberry originally, because they don't actually know language.

They know how to fake language.

Yeah, and it's interesting because Jeffrey Dawkins has written a really good book called A Thousand Brains, which is doing for lay people to understand the state of artificial intelligence, what Charles Darwin's The Evolution or The Origin of the Species did for biology.

And Dawkins makes a really clear case that we're not going to get to superintelligence with large language models.

And it's pretty simple.

We go back to the human being.

When we climbed out of the ooze, we didn't climb out talking.

We climbed out and we had to understand where we existed in a three-dimensional space and our brains built a functionality around getting from point A to point B. Eventually language happened, but that's not how our intelligence was born.

And even when we think about like these things are becoming quote unquote more human,

They have copied a part of the brain, the outermost layer, the neocortex, the neurons, the way that you just described it.

But they have no drive.

They have no will.

They have no emotional arousal.

That's the old brain.