Bryan McAnulty

And so even if you tried something like maybe six months ago and AI couldn't do it or AI messed it up, yeah, why not try that again now and see like, okay, if the AI does do it,

okay, well, can you think bigger than that?

What's something that is more impressive?

Can it also do that?

And I think people are getting stuck in like building this little thing, but not thinking forward to like either where does it go from there or what could you actually accomplish from there?

Because I completely agree with you.

I don't think we're all gonna like lose our jobs and have nothing to do.

I think there's a lot to do.

And I think we're underestimating the things that we could be doing now if you have this like

resource of AI that an individual can direct it in so many ways.

Yeah, that's a great question.

So yeah, I want to give also like a perspective on, because I completely agree with you.

We're going to just keep using more of all this.

I think people are really still underestimating the demand that there will be for the AI usage as the models continue to get better.

Because like those who are business owners, those who are like at the forefront of trying to build things with these tools are now able to suddenly use like way more.

But yeah, I think it's just going to keep going up.

And like to give you

perspective, I remember when I hit like the 2 billion tokens per month, I tried calculating like, well, what does that actually mean?

And it would mean that if you want to read every single token going in and out of the model, it would take eight hours of reading per day for about 36 years to read what happened in one month.

And so it starts to get crazy of like where this is going from.