Peter Ludwig: belief

Transcript context

…and then for Peter, I was just kinda curious if there’s any particular tech or research problem that you would call out as very meaningful for you guys if it was solved, and unsolved, and if anyone is working on it, they should get in touch with you. Yeah, I think th- generally the making models very efficient, right? So because we have to run on actual vehicles, like physical AI is literally, it’s taking, like, very large AI and now making it very small and very efficient. And so we’re constantly just at that boundary of these limitations of, like, well, you have a great model, but now we need to make it faster and smaller and so that in general as a as a field. And then I would say also, folks that are just really passionate about, like, evaluating this technology. As in, like, mo- model evals, is, it’s a hugely difficult topic, especially in safety critical systems. And we have a I think a really great engineering team that works on this now and researchers, but it’s, it’s a big area of investment. And so yeah, folks that are passionate about, yeah, performance, I say model performance, both in terms of capability and literally latency, and then, and then evaluation of models. Awesome. You guys, any, specific engineering roles that you’re hiring for? And especially, like, who are people that succeed at your company as engineers? I think that’s always the most important thing.…

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