Vladimir Tenev

Well, you can give it a try.

It seems like it's a little bit over.

Well, one of the amazing things that we've been seeing from Aristotle is amateur mathematicians.

So if you're a mathematician or if you start thinking about a math problem and start solving it, it's very difficult for a non insider to do that for a couple of reasons.

One is it requires a lot of specialized knowledge, and it's very tough to get that unless you're in the math community.

The other thing is, let's say you come up with something, you figure something out.

who's gonna read it, you have to convince someone to like, read your paper.

And you'll probably get dismissed as a crank, right?

Yeah.

Who's this guy is not even affiliated with the university, and he thinks he figured something out.

But with AI tools, like Aristotle, you have these like citizen mathematicians, which is someone that maybe is a software engineer or retiree, they like math, they're starting to figure stuff out.

And now, they don't have to convince

a mathematician to like verify and check their paper the system will do it by itself so i think what you'll see is a lot more people doing math and also downstream of that like you'll see normal people using ai to make scientific discoveries which i don't think anyone's expecting but i think you'll start to see that in the next six to 12 months very interesting stuff yeah and you know you'll have a normal person then the thing is math is like

the first step everything depends on math physics is dependent on math i mean modern physics is just math that's applied in a way and then if if you want to think about like contraptions and gadgets that's all downstream of physics so engineering depends on physics albert einstein um you know

arguably the greatest physicist of all time, his job was a patent clerk.

So he was checking people's inventions.

Why?

That's how you could apply physics knowledge.

Downstream of physics is creating little contraptions and patenting them.

So where does it end up?