I was recently watching a video by Mo Gauda.

It was a keynote he was giving.

He's a former Google X executive.

And he was saying that AI is no longer just writing code.

It's actually correcting human math.

He gives us really incredible example where he says basically for the last 56 years,

he's been using the same matrix multiplication method for code.

And this is something that he said is like very standard.

People agree on this for a very long time.

And he said that recently he was, you know, talking to AI and telling it basically to improve

itself.

And he said when he told AI to improve itself, the AI realized that their

matrix multiplication method was flawed. And so instead of trying to go and optimize the software

that he had created that they had for AI, which is what he assumed it would do, instead,

it invented a completely new way of doing math. And he said to essentially optimize itself. And he said that

that new invention resulted in a 26% in performance boost and the removal of hundreds of

millions of dollars in cost and energy use for Google. So like this massive uptick in

basically optimization. This is a fascinating concept when I first saw that.

I was really fascinated by the fact that AI is kind of getting,

is definitely getting better at math,

but beyond just getting better at solving math or solving math,

the way that we might solve it,

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