The Ledger, every show

“I think in six months the capabilities of these models are going to be good enough for, like, most of the use cases that you'll need, and, like, a lot of it is going to be, can you build vertical specific workflows that, like, solve, like, specific pain points…”

“One of the advantages of our technology and our architecture is our models support infinite recursion so we don't have an issue with long video generation like other providers.”

“I think like with, when we're looking forward as to how the technology evolves, I think a lot of the lines between like what traditionally was like the intelligence portion of a model and what was traditionally the rendering portion of the model are going to g…”

“Where I see the field going towards is monolithic omnimodal input, omnimodal output. Where you can provide guidance signals to how closely the model adheres to each of the input modalities.”

“I think we sign, like, an enterprise contract every couple days now. Like, pretty big ones now, too. And so and that's without outbound sales.”

“We were, I think the first major audio video foundational model company that was able to deploy, you know, these full body expressive dialogue centric generative videos at scale”

“We just launched this real time interactive video model which is the first to bring this like low latency image, audio video experience really to market.”

“So in my, like, you know, future state, like, you should be able to have a subject in video that you can bidirectionally communicate with, that can follow cues, that has a distinct personality that you can program, and that creates, like, essentially the, you …”

“I think that traditional prompt text to video is like very much not what the paradigm will look like.”

“And I think in the same way, like we've seen this transition from like, you know, auto completion and code generation to now coding agents. I think we're going to see something very similar with content engines, and that's a lot of what we've been working on.”

“So I think, like, in the future version of Hydra, you could chuck some video in and some character references in and say, hey, like, edit this podcast and get something out that felt really professional with very little work.”

“It seems like OpenAI and, like, Anthropic especially are, like, Pushing out of just being model providers into being vertical providers.”

“There wasn't really dialogue and generative video at this point. Like, there kind of was, but it was just really bad. Like, it was so bad. It was, like, borderline unusable.”

“We grew to a million in revenue relatively quickly. How fast? Like a few months, five months, six months or something.”

“Like, seven million is not, like, a little, but, like, Sora had come out at this point, and we were still, like, people were really excited to use Hydra, you know? So we had stood out, and, like, we did something other people weren't doing.”

“We pretty quickly hit, like, an eight-figure run rate, which was exciting.”

“I'm on Forbes the other day, and I see a Hedra generated, like, ad”

“I think we're going to start seeing more workflows around the creation of, like, these autonomous digital personas, not just for, like, real people, but also for, like, total fabricated personas as well.”

“When you're able to bring the cost of this technology down low enough, I think it actually is fundamentally going to change how people interact with these LLMs that are driving a lot of these new experiences.”

“Claude has become kind of the de facto coding model, opening eyes, that general assistant. Gemini is, like, powering a lot of enterprise use cases now, just due to its, like, cost effectiveness, speed, and general capabilities.”

“There applications that maybe aren't wildly popular, but they're so popular amongst a passionate group of segments, these companies can scale to like hundreds of millions of revenue.”

“We see a lot of use cases where people combine us with something like N-A-N where they'll use, like, deep research and pull together scripts, they'll bring in a dihedra to generate the audio and video portion, and they'll automate the deployment to their chann…”

“I, so I was a PhD student with Fei Fei Li and Jia Jun Wu at Stanford.”

“We're, like, 23, I think, as of this week. So we're still pretty small. But we generally, like, have tried to keep the team lean.”

“John LaHua has created who's like a very famous actor behind you know, Taka from the League, created this whole series starting with this, like, you know, Moses podcast to the baby podcast, which he actually started.”