Everything Michael Lingelbach said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Lingelbach: AI models will be sufficient for most use cases in six months
“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…”
Lingelbach: Hedra's models support infinite recursion for long video generation
“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.”
Lingelbach: Free users often provide negative product signal to startups
“Free users are often, like, not, they're often negative signal, in my opinion. People, the people who are willing to pay for software are sometimes a totally different group than the people who are willing to use it for free.”
Lingelbach: Interactive AI video requires vertical integration across models and UX
“And I think that necessitates vertical integration, not just in the core model layer, but also in like how you interact with the models.”
Lingelbach: Boundaries Between AI Intelligence and Rendering Models Will Disappear
“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…”
Lingelbach: Generative AI is moving toward monolithic omnimodal models
“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.”
Lingelbach: LLMs, not video models, limit real-time AI actors
“Oh, a hundred percent. But I think that the bigger limitation is not the video model right now. I think the bigger limitation is actually that I think large language models still have a lot of work in terms of making people feel very authentic.”
Lingelbach: Media AI apps cannot yet rely purely on foundation models
“LLMs are just, like, much more farther along, and they have, like, a very well-defined, like, path, and it's really just about scaling them at this point, and, like,
You know, working on reasoning, improving general intelligence. I think for, like, media gener…”
Lingelbach: Clever academic AI techniques were ultimately ineffective against scale
“A lot of the clever approaches were, that we were doing in academia were ultimately, like, nothing in the face of scale, and that, like, if I wanted to build something impactful, I felt like I needed to do it in, like, an industry setting at that time.”
Lingelbach: Agentic orchestration tooling will get subsumed directly into AI models
“There's certain technology that will get subsumed by models, so I think a lot about, like, agentic orchestration is, like, a good example.”
Lingelbach: Venture-backed startups should hire a talent lead early
“People should consider bringing on a talent person if you're venture-backed really early on.”
Hedra CEO Lingelbach: Startups should build apps, not foundation models
“I would not recommend most companies like go out and start a new model program. Like, I think there's just too many opportunities at the like application layer right now.”
Hedra signs enterprise deals every few days with zero outbound sales
“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.”
Lingelbach: AI coding tools eliminated the barrier to building good MVPs
“There's just no barrier anymore to making a good MVP. Like software as a service has never been easier. There's so many AI coding tools. There's so much like engineering talent that's hungry.”
Lingelbach: Memes are one of the best GTM strategies for companies
“I think memes are one of the best go-to-market strategies for a lot of companies.”
Hedra was first to deploy dialogue-centric generative video at scale
“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”
Lingelbach: Hedra is first to market with low-latency interactive video model
“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.”
Lingelbach: AI video will feature bidirectional communication and programmable personalities
“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 …”
Lingelbach: AI startups should integrate partner models to maximize user experience
“And I think that, for me, it was, like, you need to identify, like, that It's a core pain point and core market segment that you need to serve and you need to do whatever possible to deliver the best experience to them. And if that involves bringing in partner…”
Lingelbach: Founder life requires giving up work-life balance
“It's definitely one of those things where you have to give up the notion of having, like, work-life separation, or, like, a personal life or anything.”
Lingelbach: Traditional text-to-video prompting will not remain the primary video AI paradigm
“I think that traditional prompt text to video is like very much not what the paradigm will look like.”
Lingelbach: AI video creation will shift to autonomous content engines
“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.”
Lingelbach: Future Hedra will automate professional podcast video editing from footage
“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.”
Lingelbach: Staff-level engineers early on would have eased Hedra's scaling
“Had we brought in, like, really experienced, like, staff level engineers to, like, anchor the team, I think probably it would have been, like, easier to scale”