Dan Balsam: belief

Transcript context

…work, and how can we shape them in ways that will lead to better better outcomes of all kinds. And, yeah, I think that's definitely the lane. I think we're also, like, very excited to hear feedback from people about what isn't isn't working. And we're very grateful for our beta users, friend of the show, Cameron, being a great example, who provided great feedback, which helped shape it into, like, the tool that it is today. And it'll just continue to get better from here. Most ML research tasks, I think it can do pretty well. But, of course, there's it's like any agent. Of course, there's some some sharp edges and some nuances to it. It's probably not the best tool. It depends, like, certain types of research. Like, it's probably not the best tool for, like, all open ended scientific research questions. Like, it is pretty ML focused. We did have a team member who did use it to try to tackle some physics problems, Fran on the team, who was able to, like, actually make considerable progress on it. One thing that's always surprising is just when you're building these kind of, like, AI tools and building general AI capabilities, it's, like, pretty surprising the ways in which people end up using them. Obviously, one of the big kind of received wisdoms of AI product development over the last couple years has been trying to build something that will really work for the with the next generation models even if it doesn't quite work yet.…

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