Model Provider
topic on 7 shows · 15 statements across 14 episodes
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15 statements about Model Provider, every show
Katz: Revenue durability is the single biggest risk for AI applications
“If you were to come down to one, if you were to say this, what's the single biggest risk would be durability of revenue because the switching costs that you and I talked about are very high for infrastructure software. The switching costs can be very low for a…”
Angelopoulos: Model labs must enter application layer to avoid commoditization
“If, like, inference is going to commoditize, then, of course, the next best thing is for the model providers to be moving up the application layer in order to own more of the application stack so that they ensure that they're not commoditized and they're getti…”
Pereyra: Token billing will spawn an optimization ecosystem to counter model incentives
“I think you're going to start seeing things like this for token billing, where there's going to become this whole ecosystem of like, how do you optimize around this? Because you kind of have these weird misaligned incentives from the model providers, right? Be…”
Pereyra: Competition among frontier and open-source models will check AI pricing
“And so I think the same thing will happen with the model providers, where it's like, if you look at Opus 4.7 and 5.5, Opus 4.7 is three times more expensive than 5.5, but it's, you know, 10 or 20% more performant. But like, these are going to cause pressure on…”
Grinberg: Every Enterprise CIO Demands Model-Agnostic AI to Avoid Lock-In
“Every CIO I speak to is really keenly aware of, we cannot, you know, throw our lot in with just one model provider. We're gonna need to be agnostic.”
O'Driscoll: Long-term AI value will accrete primarily to model providers
“I think, and I could be wrong, I think in the end the value will accrete mainly to the model providers and everyone down the stack that's selling to them, even though they're all making out like bandits today, starting with the memory guys all the way up to th…”
Shevelenko: AI labs aggressively petition Perplexity to use their models
“They aggressively petition us to use their models. They want, they give us early access. They want us to run evals. And so we have, you know, the exact opposite dynamic right now where they're, you know, more than happy to take revenue from us.”
AI application startups educate their model vendors to compete against them
“Every startup in the AI application space, every, you know, service as software startup has to first and foremost internalize that their vendor is also their competitor. The model provider is both vendor and competitor. And that's a hard place to be. And they …”
Competition on AI latency will force local GPU deployments in major markets
“I think the catch there will be if one of these model providers or one of these application developers makes performance a distinguishing feature of their offering, right? If they start competing on performance rather than on capability, then we're going to se…”
Pliny: Guardrails degrade AI capability and creativity relative to model size
“I do think they're finding clever and clever ways to lock down particular areas sometimes, but I think it's at the expense of capability and creativity. So there's some model providers that aren't prioritizing this and they seem to do better on benchmarks for …”
Rauch: High token demand leaves many AI model providers out of capacity
“Because of the insane demand for AI tokens, a lot of model providers are unreliable or out of capacity.”
Rajpal: Foundation models rarely generate toxic outputs without explicit jailbreaks
“Most of the stuff that the frameworks will recommend is actually stuff that the model providers are already working on. So toxicity, unless you're doing, unless somebody is very explicitly trying to jailbreak what you've built, you know, you won't run into the…”
Junestrand: Frontier AI model providers are already completely commoditized
“I think you're right in that the model providers are not the winners, because that's completely- Commoditized.”
Kilpatrick: Live AI APIs create severe vendor lock-in due to bespoke infra
“I think if you look at a lot of the live API infrastructure right now, like you really do need to commit that you're like gonna, you know, there's, it's not easily interoperable between different model providers. Like everyone's infrastructure is all bespoke a…”