Nathan Labenz: prediction

Transcript context

…tually using it as filler B-roll, I don't know that. First of all, CDance may be overkill. It's like too expensive for that use case. And it's maybe like too much of a scene stealer for that use case. It's kind of like a, you told me it was okay to get in the weeds. So yeah, please. An example of getting in the weeds. I rely on people to help me understand these different frontiers more and more all the time. I mean, I used to. three years ago, I could try all the new models myself. And now it's just getting to the point where I have to rely on the network to help me understand it. So yeah, please don't shy away from any and all of the nitty gritty detail. Okay, cool. I think that's really interesting stuff on generative models. And I think the perspective also on like, there won't just be one winner makes a lot of sense too. And I actually think that's why a lot of the orchestrator agents, one of the things that they're going to need to be good at doing is understanding which generative model or which other kind of model they're going to need to orchestrate between all of the different models and sort of understand, like, given the context that I have about the video or the project that this user is working on, this is likely the right model that I should use and this is why, or whatever, to kind of hit their cost quality and like use case bullseye.…

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