Qasar Younis: evaluation

Transcript context

…Yeah. So at Applied Intuition, our mission is to build physical AI for a safer, more prosperous world. And so we work on physical AI for all different types of moving systems, everything from cars to trucks to construction and mining equipment, to defense technologies. And we’re a true technology company, so we build and sell the technology, and we sell it to the companies that make the machines. We sell it to the government, really anyone that wants to buy a technology to make machines smart. Yeah. And I think in the broader AI landscape, a lot of the focus, rightfully so in the last, three years has been on large language models, and so everything fits in a screen. Like, whether it’s code complete products or things like that. And what’s different about us is we’re deploying intelligence onto a lot of things that don’t have screens. they’re physical machines. There are sometimes screens within the cabin or for example of a car or a truck or something like that, but most of the value we provide is putting intelligence that is in safety critical environments. So that those two words are really important because learn systems can make mistakes if you’re asking for, like, some, so something like, “Tell me about these podcast hosts that I’m about to go meet. ” But you can’t do that obviously when you run, like, as an example, we run driverless trucks in Japan right now, as we speak. We can’t have errors. Those are L4 trucks. Yeah. Yeah. Was that always the mission? I remember initially, I think people put you and Scale AI very similarly for some things about being kinda like on the data infrastructure side of things. What was the evolution of the company?…

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