Chai Discovery, every mention
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every year anyone Matt McPartlon 19Neil Patil 11Pranav Reddy 1Akshat Bubna 1
Verbatim, from the transcripts: the passages where Chai Discovery comes up
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- ▶ 0:17 Neil Patil You have this equivalent of a content-aware fill tool to kind of get your, uh, your binders generated from Chai.
- ▶ 1:26 unnamed speaker It's a pleasure to have with us in the studio today, Mac McPartland and Neil Patil of Chai Discovery. 8 times in the scene
- ▶ 4:00 Matt McPartlon Um, like we really like to, we care about the partners succeeding, like this Chai as a company really depends on how the partners succeed. 4 times in the scene
- ▶ 13:03 Matt McPartlon Yeah, Josh, uh, our CEO likes to say that our, uh, our biggest competitor is the mouse. 2 times in the scene
- ▶ 17:42 Matt McPartlon We started Chai around two and a half years ago. 3 times in the scene
- ▶ 33:07 Matt McPartlon And I think people are spending a lot of time, even like, especially at Chai, I think thinking about how do we validate these, these problems at like bigger scale?
- ▶ 42:08 Neil Patil You have this equivalent of a content-aware fill tool to kind of get your, uh, your binders generated from Chai. 6 times in the scene
- ▶ 48:36 Matt McPartlon We're, we're really seeing this internally at CHI, where the models are getting pretty close to, like, producing
- ▶ 52:25 unnamed speaker Where do you think that the state of the art is in general and also with regards to chai in terms of prediction and like, is this a problem which has a reasonable, solvable time horizon?
- ▶ 59:36 Neil Patil Right, and that comes, you know, from the mission of the company is to really turn, you know, drug discovery from a scientific experiment to an engineering discipline, right?
- ▶ 1:02:10 Neil Patil Like one of the, um, one of the things that I, uh, help a lot with at CHI is buying compute for the company. 3 times in the scene
- ▶ 1:09:28 Matt McPartlon But I think that's like a pretty fundamental thing at CHI is just like the engineering culture and just being like very simplicity biased. 4 times in the scene
- ▶ 1:19:05 unnamed speaker I think the, the two things, which it sounds like Chai has gone on is like one, all in them product. 4 times in the scene
- ▶ 1:25:56 unnamed speaker So unless someone, I mean maybe Chai, figures out how to, you know, fix this. 3 times in the scene
- ▶ 1:30:13 Matt McPartlon You have some ways, and, like, I think at CHI we've taken this, like, very seriously, but it's probably along the lines of just, like, validating hypotheses and, like, you know, knowing for certain that things work. 4 times in the scene
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 48:34 Akshat Bubna I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also, we work with a lot of companies that are, uh, doing things like drug discovery and computational bio, like the child discoveries…
The State of AI Startups in 2024 [LS Live @ NeurIPS]
- ▶ 7:44 Pranav Reddy We're lucky to work with the folks at Chai Discovery, um, who just released Chai One, which is open source model that outperforms Alpha Fold Three.