Qasar Younis: belief

Transcript context

…I gotta say, though, what was clear ten years ago was that there was so much more that was possible with software and AI in vehicles and that was generally the space that we started in ten years ago. And the precise path that we’ve taken over the years, I think we’ve been strategic, and we’ve adjusted to make sure that we’re actually building stuff that’s valuable to the market. And like, the technology has changed so much. Like our own technology stack has completely changed, I would say, roughly every two years. And so now we’ve probably done, let’s say, four complete evolutions of our own technology stack. And I sort of see that cadence roughly keeping up. And so the way even we think about engineering is almost on this two-year horizon, we’re preparing ourselves that, hey, like, we wanna invest the appropriate amount, but then also be very dynamic as the research gets published and as our research team figures out new advancements and adapting to that. Yeah. One thing that has been consistent is the type of people we’ve, we’ve recruited. It’s engineers who are fall into the sometimes very traditional, like, Google -gen suite, but way different from, other companies. We are hiring folks who really know the intersection of hardware and software, who know really low-level systems. Obviously, traditional ML researchers and folks who’ve, actually, put ML systems into production. That’s been pretty consistent. I think that, like, you look at the mix of our engineering, eighty-three percent of the company is engineering, so it’s, like, a giant list. A lot of engineers. Which, by the way, a thousand engineers…

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