Nathan Labenz: belief

Transcript context

…Okay. It's it's it's the whole thing. Everything is DeepSeek right now. Yeah. We are in the middle of reconsidering it because we are realizing that teammate, the new product, is is is is requires beefier computer. And by the way, can always go in your in your Linji settings. Like, we are model agnostics. You can always select Sonata or others if you want to. By the way, like, one interesting learning of mine is, like, doesn't matter how often you tell people, hey. Like, we promise on the benchmarks it's the same. They're all, like, quite a few of our customers, and therefore, like, I don't care. I want Sonat, you know, or Opus, you know, which is very excessive. But, no, right now, it's deep secret default. Interesting. So you feel like the so yeah. I guess, how would you characterize the gap between American API models, Quad perhaps specifically, and a deep seek. We hear we're I think we kinda go through these cycles, right, where it's like, oh, the gap is closed. Oh, maybe it's opened again. It's oh, actually, it was totally on trend the whole time. It was always nine months. Qualitatively, for the purposes of actually making an AI employee work, how would you describe the gap? It's more spiky. It takes more turns very often to find something that works. So it still ends up finding something that works, but it ends up taking more turns, which is slower and more expensive. I know you asked me for something qualitative, but look. It's it is, like, three or six months behind. So right now, we've got Sonnet five. Like, DeepSeek is basically Sonnet 4.6 is the way I like to think about it. How much do you worry about what you when people are allowed to change the model, I always have this question of, first of all, are we in a period of convergence of the AIs or divergence? I'm even on that basic question, I'm, like, sometimes confused.…

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