Sam Altman

This is the most complex software object humanity has yet produced.

And it will be trivial in a couple of decades, right?

It'll be like kind of anyone can do it, whatever.

But yeah, the amount of complexity relative to anything we've done so far that goes into producing this one set of numbers is quite something.

By like number of parameters?

I think people got caught up in the parameter count race in the same way they got caught up in the gigahertz race of processors and like the, you know, nineties and two thousands or whatever.

You, I think probably have no idea how many gigahertz the processor in your phone is, but what you care about is what the thing can do for you.

And there's, you know, different ways to accomplish that.

You can bump up the clock speed.

Sometimes that causes other problems.

Sometimes it's not the best way to get gains.

Um,

But I think what matters is getting the best performance.

And, you know, we, I think one thing that works well about OpenAI is we're pretty truth-seeking in just doing whatever is going to make the best performance, whether or not it's the most elegant solution.

So I think like,

LLMs are a sort of hated result in parts of the field.

Everybody wanted to come up with a more elegant way to get to generalized intelligence.

And we have been willing to just keep doing what works and looks like it'll keep working.

I think it's part of the way.

I think we need other super important things.