David Rosenthal: evaluation

Transcript context

…Bryan went to Baidu and he's back at NVIDIA now doing applied AI. Bryan went to Baidu, Jeff went to Facebook. So all the other markets. Let's say you don't believe in self-driving cars, you don't think it's going to happen or any of this other stuff. It doesn't matter. The market of digital advertising that this enables is a freaking multi-trillion dollar market. It's funny because that feels like that's the killer use case, but that's just the easiest use case. That's the most obvious, well-labeled data set that these models don't have to be amazingly good because they're not generating unique output. They're just assisting and making something more efficient. Then flash forward 10 more years and now we're in these crazy transform models with, I don't know if it's hundreds of millions or billions of parameters. Things that we thought only humans could do are now being done by machines and it's happening faster than ever. I think to your point, David, it's like, oh, there was this big cash cow enabled by neural networks and deep learning in advertising. Sure, but that was just the easy stuff.…

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