Cosmos

“There, once I built the Cosmos one, I realized as this thing also has a scaling law similar to language model.”

“One thing I say, like, thanks to my experience at NVIDIA, because first time when we were building Cosmos together, we built it for about a year.”

“So that's in the protocol of Cosmos labeling. We required the objective we gave to the labelers was that you have to describe the video as detailed as possible, such that a blind person hears a blob of text, can reconstruct what the video is like from their he…”

“And if you look at a number of tokens we disclose that in cosmos, it's also like tens of trillions of tokens. On the visual tokens.”

“In Cosmos, I believe we have like four steps and eight steps. If you do some simpler task, like image to image translation, it can even run in first step, that one step in, in Cosmos transfer.”

“Yeah, for example, like in Cosmos, I think just five seconds of video is like a 50, 50 K or a 60 K number of tokens. So like, if you do 50 seconds as a 500 K tokens, if you do longer than that, easily explode.”

“I think in in Cosmos, we use Lama or we use mix, mix through. And the Cosmos video model itself is only seven B, and the model, the language model is a prompt rewriter. It's bigger than that.”

“I mean, that's why we back Cosmos, who is doing, backing people who do AI based on these principles of market-based management, based on these principles of human progress.”

“That number that was 50% that came from cosmos's interpretation of some of the analysis. So like it might go in literature and find this result. And then it would say, wow, this is super exciting. This is amazing. Or it might do data analysis, but this is a no…”

“In cosmos, we basically, we had all the pieces sitting around. We working on world models, we working on data analysis agent, working on literature agent. And then we're working on, you know, we built a platform for scientific agents. So we had things that can…”

“Cosmos has 295 million patients worth of data in it, all anonymized.”

“And it's accessible to any institution for free that contributes data in. So of all the Epic customers, Anyone who opts in gets to access and query it for research or cool stuff.”

“We've been working towards Cosmos For probably about 10 years, we envisioned that eventually this new technology that had formed with deep learning, that that was going to be the critical technology necessary for us to create robot brains.”

“What we're doing with cosmos it's, It is really a different class of AI than video generators. You can use it to generate videos, but the purpose is different. It's not about generating beautiful imagery or interesting imagery as for art. This is about simulat…”

“And Cosmos is a great example, launched just about a month ago. And it's sort of the first system we've ever seen that will allow cross blockchain interaction.”

“We use this to create a network of blockchains that can talk to each other and interoperate, and that's called Cosmos. That's the project we're building.”

“You know, we avoid the term ICO precisely because we don't want to associate it with a security offering.”

“And on Genesis Day, all the contributors are going to get, on that Genesis block Atom tokens. They are staking tokens. They're tokens that allow you to vote on the blockchain, participate in consensus, you know, make governance governance decisions about where…”

“We raised we had a cap of seventeen million. At USD? USD. So we filled that cap in 29 minutes, so we had to stop accepting funds.”