The Ledger
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Rombach: Compute constraints drive AI innovation more than scaling hardware
“If you only rely on like more compute it's a bit boring. I think like compute constraints can also Drive innovation, right? So for example, the latent diffusion framework, we developed it at the university because we just, like, we had, like, single GPUs where…”
Rombach: Video AI models scaled like LLMs will gain world understanding
“Having something like we are seeing in language modeling, but trained on pixels on videos will probably give like super interesting downstream behavior to not, not only like generating videos, but also understanding of the world.”
Rombach: Pre-trained video models learn 3D synthesis faster than image models
“We showed that it's actually like helpful to incorporate like this implicit three D knowledge that Knowledge that is captured in all of the videos into the model, and then the model can learn much quicker than if you start from the pure image model.”
Rombach: AI video generation will evolve into real-time interactive experiences
“Because then this will become more like, I don't know, sometimes I think about this as like a video game, right? You type your prompt, and you immediately see what happens given your input view, and I think this might be a super nice user experience, actually.”
Rombach: DALL-E 3 uses an autoencoder trained on a single GPU
“Dolly three uses a model that, like, the autoencoder that was trained on a single GPU.”
Rombach: Stability AI distillation research enables single-step diffusion generation
“We ourselves, we have published a distillation work a week ago that actually shows that you can go as low as one sampling step, which is, I would say like a big advantage of these diffusion models.”
Rombach: Managing hundreds of LoRAs is unscalable for video control
“Maintaining like a library of hundreds of LoRa's is maybe not like the, Most scalable approach.”