Brian Armstrong

And it's a high stakes moment for both of them.

The other thing is like sometimes people criticize OpenAI like, oh, my gosh, they missed their their target, their end of year target to get a billion users or something like that.

And

You know, internally, we all we often use like the OKR system and we we tell we tell everybody set uncomfortably ambitious goals.

And if you hit at least 70 percent of it, that's considered a good outcome.

So whenever companies switch into the public mindset, they're often setting their goals start to become more like appropriate for external investors where, wow, we just hit our goals every quarter around here.

You know, and so anyway, there's a lot of stuff like that that happens behind the scenes, I think.

The high-level bit is what you guys already covered.

They've got to get out just because that's what their competitors are doing, and that's where the capital is going to all go.

So it's going to be uncomfortable and messy, and I'm a little worried about these valuations where retail is going to be the buyer of this.

And take the hit.

Yeah, it could be pretty choppy here.

You know, just because we talked about how AI is sort of taking all the oxygen out of the room, like selfishly, I think other tech CEOs are kind of like, all right, finally get these things public so there can be a real mark on it.

And maybe some of the hype dies down a little bit.

I also think there's going to be fierce competition amongst these models because they keep, like the open source models are basically just as good and three to six months behind for like 99%.

Yeah.

And they're like literally 99% cheaper for inference.

So I think the demand for intelligence is almost infinite.

It probably is infinite, but the costs are going to fall like way more than Moore's law.

So, you know, is the harness that these guys are making, whether it's Codex or Claude, Claude code, are those valuable?