Jeff Beck: commitment

Transcript context

…Many folks in the audience won't know what a normalizing flow is. Can you just give us a quick update on that? Well, so okay. So well, all we we've got a pretty good handle on how diffusion models work these days, right? It's you know, you take your image, you just add a bunch of noise to it, make it Gaussian, and then you learn that inverse transformation. It's the same thing, right? What you're doing is you're learning a mapping from a probability distribution that is easy to deal with like a Gaussian distribution, and you're learning a mapping from that distribution onto the thing you actually are observing, the thing you care about. So in this case it could be an image. In fact, I actually don't think we should call them diffusion models. It's a normalizing flow. The diffusion is it's it's it should be referred to as a diffusion training protocol for a normalizing flow. So to some extent, we will be using some of those tricks as well. We will be you could say, yeah, we're gonna use diffusion models if you're make me roll my eyes and say that. Jeff, what is your approach to alignment?…

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