Generative AI Models
topic on 5 shows · 9 statements across 8 episodes
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9 statements about Generative AI Models, every show
Patil: Chai is raising capital to train more general generative models
“Like a lot of the money that we're raising now will let us train bigger models that can maybe be even more general and start to account for even more things at the same time, right?”
Evans: User data does not currently make AI models better
“At the moment, they don't. At the moment, the companies all say, well, indeed, we don't train, we don't use your data to make the models better, partly because the amount of user data involved isn't enough to make the, relative to the broader scale of the trai…”
Wang: Generative AI can solve visual problems using 2D projections
“I think we can solve almost all the problems, if not all the problems, working on the projection of the three-D world directly, and letting the models learn the latent world representations.”
Brichtova: Speed is an AI force multiplier only after meeting quality thresholds
“There has to be some quality bar because if it's just fast and the quality isn't there, then it also doesn't matter, right? Like you have to hit a quality bar and then speed becomes a force multiplier.”
Gur: Scaling AI models will enable interactive playable games
“I think what we all agree is that we're very excited about the net new use cases, recreational, you know, image generation, like people just like having fun with it, and that becoming like now video, that becoming maybe like short playable games or whatever, l…”
Narayen: Adobe trains AI models only on fully licensed data
“If we create models, one of the things that we have to do is create a model where every piece of data that went into the creation of that model, we can testify to the fact that, you know, we have license to do that.”
Wang: Generative AI will eliminate massive film visual effects budgets
“A lot of films now have, you know, tens of millions, hundreds of millions of dollar visual effects budgets. It's true. They won't have to spend that much on visual effects going forward. It'll be able to be done Much more automatically using these models”
Parikh: Artists view generative AI on a spectrum from tool to collaborator
“So some view them, view these models very much as tools and then others tend to view them as more of a collaborator in this process of creating, and it's always interesting to see what end of the spectrum different people lie on.”
Valenzuela: Creative AI alignment requires making models expressible and controllable
“These models and the systems need to become really expressible and controllable, which is somehow the way I like to think about alignment is like you have an intention and you want to express that intention in a very controllable way, right? These models are y…”