On the other hand, the reinforcement learning side has been linear, but it doesn't generalize. So if you build a great programming model, it may be an idiot at math. And so that I think is just very different than what people would've said three years ago. And I think that there's not something that's both scaling and generalizing yet, and maybe we'll get there, but that certainly opens the door to something that's more user-friendly, that's more effective in any number of domains than just the basic foundation model infrastructure. Now those models are incredibly important, and I think OpenAI is probably 80% of the revenue in AI are something like that now. It's massive, and so that foundation model is really, really important. And then the basic consumer app is really, really important.
Now those models are incredibly important, and I think OpenAI is probably 80% of the revenue in AI are something like that now.