Kate Clark

And they're like, well, what am I doing sitting in a classroom when I could be

raising $100 billion and building the next great thing in AI.

And we are in this moment where, yes, we're very much in a bubble.

There's a lot of enthusiasm.

There hasn't been any correction.

So you're going to continue to see people jumping in.

And of course, when things do shift, that trend will shift back as well.

But for right now, we're only going up still from here is the way it seems.

And so I think we can expect to see a lot more of this.

All of this just points back to how much excitement there still is

For AI development, even though there has been more skepticism in the market, there is more talk of a bubble, that has not stopped investment from climbing, even into these extremely risky businesses like the Neolabs.

You can think of a neolab as kind of a mini baby open AI.

These are a new generation of startups that, like open AI, are getting their start as purely research labs, research that would usually happen inside academic environments.

So basically they are trying to build better AI models, better systems of building AI through complicated equations, whiteboarding, coding, and they're not worried about applications of that AI.

In other words, they're not really worried yet about actually trying to make any money.

Yeah, there are a couple of more well-known examples.

One of those is Safe Superintelligence, which was founded by one of the original founders of OpenAI, and it is focused on building AI more safely.

It is valued at over $30 billion, making it one of the most valuable startups.

There's also

Thinking Machines Labs, which is also founded by an OpenAI alum.