Enterprises are generally better off just paying for broad frontier-model (Fable) access across their whole employee base and letting people build ad hoc workflows, rather than investing time and committees into structuring cheaper open-source models to save money.

46:00kind of weird middle moment where if you want to economize and you say, "Oh, we're going to have our people set up all these workflows and then we'll be able to use an open source model and we'll save money." I just think you're signing up to go kind of slow. Mhm. >> where and just, you know, have a lot of committees and a lot of people in

46:30meetings talking about how do we do this and how do we evalid and whatever. And it just feels to me like there's still a lot of advantage in just throwing some highv value tokens out to your whole employee base and basically saying develop your own workflow solutions on a on a kind of as needed basis. And by the way, the frontier model which you have is really good at that.

47:01And you know, maybe you could have a strategy that's like and specifically we want to delegate to, you know, our own internal GLM52 inference capacity or, you know, whatever, you know, inference uh partnership or provider we have. But how much does that save versus just having Fable, you know, kind of natively delegate to Sonnet and and even Haiku where it's clearly going to be more closely trained to do that well and know

47:33when they can handle the tasks accurately and prompt them well. And that that I really don't have a great sense for. I I was just talking to an a a former um investor of mine, still still an investor in the sense that uh we haven't liquidated the investment yet. Um and he's working on a a sort of Red Hat for AI kind of thesis at the moment. And