Jason Droege: belief

Transcript context

…To you, this is so obvious and to people in your market that I think a lot of people think about AI being trained on just here's a bunch of data, check it out, learn everything you can from all of human history and all of written record. But what's wild is basically people are sitting around teaching AI things it doesn't know, filling gaps. That's how AI is getting smarter now. There's no more real data for it to feed on. It's just like, here's what I don't know, or here's what an expert found you're wrong. I'm going to teach you this. And the fact that it scales and that's keeping models improving is so mind-boggling. Yes. No, yeah, I agree. I mean, like with any of these major tech revolutions, the headlines tell one story and then on the ground, laying broadband means you need to dig up every single road in America to lay it. There is the, yeah, it's as simple as that. Someone's got to dig up the road or someone's got to run the undersea cable. There's always some operational chiseling that's going on in all of these industries. I mean, if you think about how magical these models are, they're remarkable that if you've been in technology long enough, it blows my mind even today that they get the punctuation right consistently. I mean, that sounds like almost daft to say at this point in the market, but if you were to go back three years and think about that from a technological standpoint, a lot of things that we think are trivial now are very sophisticated, and it's a combination of, I mean, the real answer is it's a combination of computational power, model improvement, and data, and all three are getting better at once. Let's follow that thread. You've been at Scale for a long time, CEO for, you said, 13 months. I feel like you see a lot more about where things are heading because you work with labs on things they haven't even announced yet. You see more than most people, and I know there's only so much you can share about what companies are doing, but just is there anything you think people don't truly grasp or understand about where AI models are going to be in the next two, three years?…

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