Jaden Schaefer

I think from my perspective, this is just the beginning of what these are going to be able to do, obviously, because we're seeing as you scale compute, as you scale data, they get smarter.

So I don't think we've hit a wall on where we go with those.

I think we're still super, super early.

Models are getting cheaper, faster, more capable.

You know, you can think of this in like a way you have like open AI who spends billions of dollars to train models today.

Some point in the near future, those same models are going to be trained at a fraction of the cost and anyone will be able to, you know, theoretically train those types of models.

And I think that's,

that's kind of a future where we move towards.

I think the tools are becoming a lot more accessible.

You don't need a PhD or kind of this massive budget anymore.

Solo founders can totally build products that used to require entire teams.

And so that's why I'm super optimistic about AI.

I think every kind of technological shift in history, whether that's electricity or the internet or smartphones, like all of them followed the same pattern, which was

kind of this early hype.

Then you had a big moment of disappointment.

Progress was pretty slow.

And then all of a sudden, everything kind of clicks.

I think that's where we are now with AI.

The history of AI, obviously, to me, when you look at technology, it feels like a real lesson of patience.

It took many decades of all of these different ideas failing before...