Michael Lingelbach, CEO of Hedra, discusses AI model progression and why product workflows will matter more than base model improvements.
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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.”
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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.”
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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…”
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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.”
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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.”
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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.”