“Everyone's excited about AI, right? Like it's every interview, it's about AI. What are you doing with AI? Well, hey, but I'm also doing this really cool stuff with hardware. Oh, that's great. Let's talk about AI. But we've got this great business that does compression technology. Yeah, but software, please. I think it's important to know that the physical systems also still really matter.”

So first of all, I think one of the things, and I've mentioned this before, it always does start with people. I think one of the concerns people hear about AI and what does it do for jobs? Well, domain experience becomes more important. And the ability to reason on top of a tool is becoming incrementally more important every day. And so when we build a tool, one of the things we're thinking about is how do we educate the operator today? How do you become really knowledgeable on a system? Because that skill is still going to be really important. And by the way, AI is not going to do anything that hasn't been informed by previous history or previous data. It learns on data. It's not great at coming up with wildly new patterns that aren't otherwise derived from other systems. And so building that intelligence so you can continue to innovate is so important. I don't see that going away. We can talk about world models, you know, the kind of the next generation of AI, maybe, but with what we see today in large language models, that skill is really important. Now, what does the system look like five years from now? Well, I can tell you the evolution of thought we've just had in…