Transcript

Simulate has a culture within the organization that's very much rooted in research, right and and academics in a way, in terms of understanding what's happening in real time. Anywhere, you know, research is being done within this particular domain and with this within this particular space. And I think that serves us extremely well in the space that we're in, particularly right now. And I think we're continually staying on the frontier of what's happening. I think that's serving us extremely well. I'm a professor, I'm a researcher. You know, one of the things I learned from my mentors, you know, my, my academic mentors, you know, was there's a certain style to doing research. You want to tackle hard problems, not necessarily always flashy things, you want to tackle hard problems. This is not something you do in a day, right? It's something that you do over a long time and that doesn't necessarily fit right, like with with the clock speed of how a company runs. But in a weird way, I think this has kind of been something we've tried to keep with us. You know, this was true at select, you know, and simulate, you know, we have a very strong research culture. So the idea is to sort of say, listen, like, OK, this is how people are doing it and sure, we could do it like 5% better. What would it take to do it 200% better? The culture I'd like to see in, in, in. And the technology we built at Simulate, I think that's kind of what I'm perhaps proudest of. And as a side note, by the way, I think this is also what distinguishes Frontier labs, right? Like all the Frontier AI labs, they have the same thing, right? They're not, they're not working on like a 1% improvement to something, by the way, they are right, you're working on 1001% improvements at at some level. But the point is that the ambition is, is, is is outsized, right? The, the ambition is not just kind of just getting a little bit ahead of your competitor. Like kind of leaving them in a different zip code?