John Nosta

It's very reaction.

Here's the question.

Here's the answer.

It's transactional if you're looking for a word.

So Google is transactional.

And you know, back in the days when you type up, you know, where's the best Mexican restaurant in Rumson, New Jersey?

We all know it's Casa Comida, by the way.

But anyway, it gives you a long, complicated answer.

You have to find the link.

You got to back around.

So that was the second sort of inflection point, if you will.

We unlock words and we unlock facts.

And that was great.

That really transformed the way we could think.

But now what happens with these large language models that are really changing everything so dramatically?

What large language models are doing

is unlocking thought.

So that's the transition, unlocking words, unlocking facts, and unlocking thought.

The interesting thing about large language models is that it is an iterative dynamic and that our ability to engage with a large language model back and forth actually activates thought.

And that's kind of where we are today.