Q think, uh, I, first of all, I have to congratulate you on basically building a Frontier Neo Lab inside of Microsoft in two years. Um, I'm wondering, you know, you have all this AI strategy that you're rolling out. What do you know now that you wish you would tell yourself two years ago, two or three years ago, three years for the Jensen partnership, two years for, uh, MAI?
A Yeah, I mean, I think the, the thing that I reflect quite a bit, right, which is sort of obviously I got into all this when I got excited by the, The scaling laws paper and, you know, when, you know, even the OpenAI partnership came about when those folks said, hey, we're going to really throw a lot of computer transformers, uh, and they've helped, right? The thing that I always look back and say, wow, these things, um, do have capability that they're climbing up. I mean, this, you know, this crude way of saying it is intelligence is log of compute kind of works. Now, what I think we underestimated perhaps is the real world complexity of deploying these so that they actually deliver the value in the real world, right? So the outcomes as measured by any benchmark is interesting, important, but the true eval is when people out there are able to do unique things that they only can value. And it's very measurable, right? That I wish we had sort of even like had more in our consciousness, right? Which is as an industry, because right now I think When people say, wow, I don't want a token max. It's an artifact of us not having taught ourselves as an industry that we are using tokens to create value every step of the way. So I think that's kind of what I wish we had gotten there, but I'm glad we are here.
AI assessment note: “what I think we underestimated perhaps is the real world complexity of deploying these”