Adept AI, every mention

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Verbatim, from the transcripts: the passages where Adept AI comes up

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▶ 5:09 unnamed speaker You've been part of the AI engineer circle for a couple years, originally with Odette, and then you guys joined Amazon. 2 times in the scene
▶ 11:31 Danielle Perszyk Yeah, so I came with the original adept folks, and when we came, we convinced leadership that in order to do frontier level research, we really needed to keep an operating model that was more like a startup.
▶ 46:27 unnamed speaker Like, I think you guys have been, you know, you specifically, you know, even through Adept,

▶ 1:02:11 Matei Zaharia And that's actually done by one of the researchers who came from DeepMind, was a co-founder of Adept, like very early LLM scaling person, but, um, but focused on, on this.

▶ 1:43:26 Shawn Wang It's very funny because like, actually, obviously he wants to talk about adept, but then he spent half the episode talking about his time at OpenAI.

▶ 51:20 Shawn Wang We actually happened to be sitting in Adept's former office. 2 times in the scene

▶ 0:42 Stanislas Polu Yeah, I think it was about at the same time as, uh, the Adept guys.
▶ 27:06 Alessio Fanelli Then you had the Adapt. 3 times in the scene
▶ 37:31 Alessio Fanelli And another big point that David had about Adapt is like, we need to build an environment for like the agents to act. 3 times in the scene

▶ 25:50 Alessio Fanelli Kind of like, uh, maybe inflection and adapt and some of these other non-equihires, licensing deals and whatnot.
▶ 1:19:02 Alessio Fanelli And labor that I'm building because, you know, sometimes when you're being too generic and you want to help people build things, like adapt, like adapt, you know, David was on the podcast and he said they were sold out of things, but…

▶ 1:18:52 unnamed speaker Uh, yeah, it wasn't that, uh, that obvious to me, and I don't know if you want to compare your approach versus ADAPT's approach, uh, because they published some things on Fuyu.
▶ 1:32:49 unnamed speaker I'm interested in, and that came up in the ADEPT paper, 3 times in the scene

▶ 25:16 unnamed speaker Uh, we had David Luan from adapt and he mentioned they don't care about benchmarks because their customers don't work on benchmarks.

▶ 0:41 Shawn Wang Hey, and today we have David Luan, CEO, co-founder of Adept in the studio.
▶ 1:27 Shawn Wang Um, VP Avenged for two and a half years to two, two years and a bit, um, briefly served as, uh, director of, um, or tech lead of large models at Google, and then in 2022, uh, started ADEPT. 2 times in the scene
▶ 6:56 Shawn Wang Uh, I'm still gonna pressure you for a little, a few more early opening stories before we turn to the adept stuff.
▶ 11:50 David Luan Um, actually one of my co-founders at ADEPT, Eric Elson was also one of the early GPGPU people.
▶ 15:20 Alessio Fanelli Talking about partners meeting, you raised, uh, four hundred twenty million for ADEPT. 10 times in the scene
▶ 23:44 David Luan And I think the other part is because I think it's always good for people to be more aware of adapt as they think about what the next thing they want to do in their careers. 9 times in the scene
▶ 31:13 David Luan Um, so I would say the, the, um, the best analogy I have to, to why adept is pursuing a path of being able to
▶ 40:52 Alessio Fanelli How do you think about the things that are unique to you as, as ADAPT and like going back to like the maybe research direction that you want to take the team and what you want people to come work on at ADAPT? 6 times in the scene

▶ 49:51 Shawn Wang I think the most comparable lab to imbue is adept. 2 times in the scene

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