Welcome to 20 VC with me, Harry Stebbings, and for this Thanksgiving special, I wanted to

bring some of the best minds in AI together for an amazing panel. The only thing is, this panel

never really happened. What you're about to hear is the leading minds in AI from the head of

AI at Meta, the founder of Intercom, stability, runway, leading AI investor Tom Tungas, all debate some of the core questions

in AI. I pulled together some of those best moments and the most contrarian elements from their

different episodes. Let me know what you think of this different style and format. I think it's

really special and cool. You can do that on Twitter at Harry Stebbings. You have now arrived at

your destination.

So I want to start at the very core, the foundational model layer.

And I want to ask, how do we see this layer in terms of the foundational model providers playing out?

And when we see the commoditization of LLMs, EMAD, I know that you have some strong opinions here.

So EMAD at stability handing the mic over to you. I think that there's only going to be five or six foundation model companies in the world in three years, five years. I think it's going to be us, NVIDIA, Google, Microsoft OpenAI, and Demeter and Apple probably are the ones that train these models. What about you, Des? You're the founder of Intercom. Do you think we'll see the commoditization of LLMs?

I don't know if it's actually happened yet, if I'm clear, right? Like, we actually torture test all of the LLMs. It's not yet the case that they're all equal. And when you compare Open AI to the alternative providers, what did the test show you? It's basically a quality of conversation and, like, does it fail any of our, like, hallucination tests?

Does it fail any of our like hallucination tests

does it fail any of our trustworthiness tests can it infer its own confidence was it closer

was there a yeah it close and narrowing and and like it's also a work in progress all of these things

are moving targets right so like we haven't even gotten around maybe testing the latest and greatest

of all the providers which are increasing a number you mentioned mistrial there's also glamour there's anthropic there's like cohere like there's like a whole chunk of them and it's a bit of work to go around and constantly be trying to find out has anyone gotten we only really care about better right right now we're not in cost optimization mode we're just like who's got the Jeff Seibut, you're the founder of Digits. So you sit on top of these foundational

LLMs and then fine tune them with your own data. What do you think in terms of this

commoditization of the foundational model layer? I certainly think we will. And this may not be a

popular position. Obviously, opening eyes charging ahead, sort of leading

the way right now. I think the market forces at work mean there's just immense energy to have

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