Peter Ludwig: belief

Transcript context

…I’m sure. Right? Like, there was, I think six months ago, or maybe a year ago, if you tried to use, let’s say the latest Claude model for writing shaders, GPU shaders, the results were probably underwhelming. And if you use the latest model now to do that kind of task, you’re a little bit blown away, like, “Wow, that actually worked. That’s amazing.” And we see the same thing in the embedded realm. No question though, especially when you get into safety critical systems, the human validation is is 100% key. Like I You’re not gonna trust your life to a an AI written software that’s, that’s not been very carefully, checked by humans. And so I think now the really the challenge is about that appropriate level of human validation for these safety critical systems. How do you think about, yeah, touching on the simulation side, I think verifiable reward and reinforcement learning is, like, the hottest thing. What have you done internally to build around that? And like, what gives you What makes you sleep at night? Like, if somebody’s like, just web coding something or like wants to try something new, you have like a good enough system. Because I think the opposite is also true, is like if it’s super easy to write anything then it puts a lot of work on like the verifiable side of it. Like, what does that look like for people?…

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