Waabi Takes On Driverless Trucking

Tell us about fully autonomous trucks by 2025. That feels really bold to me. Yeah, yeah, it's, it's, it's both at the same time. It's something that, you know, it's the next milestone for the company. Well, thanks to the United AI technology, you know, we are able to go so much faster and so much more capital efficient compared to the rest of the industry. Today. We have trucks that I've been autonomously in Texas with a safety driver really, really performance and we are the virtue of really enabling level 4 deployment without a human. And this is very exciting day for WAVY today. So tell us about ultimately what the difference is that you have pioneered. I understand it's a single end to end AI system that basically has a human like reasoning. Why is that so important for autonomous trucks? Yeah. So you spend the, the last, you know, two decades really trying, you know, inventing technology, AI technology to bring this idea of, you know, a single AI system that is able to resume like a human does so that it can really generalize to all the different situations that might happen on the road because we will never be able to observe, you know, everything prior to deployment. And this, you know, reasoning abilities is remarkable in terms of adding an extra layer of safety compared to anything else that we have seen in the industry. So, you know, one way to think about it is that, you know, we have the system that can be works by perceiving the world, creating interpretable abstractions, and then uses those abstractions to to reason about what is the best, you know, from all the possibilities of the things that they can do, what is the best maneuver. And that's much safer, much more efficient than anything that we've seen before. And it's probably safe. So we have solved, you know, the alignment problem in the eye, which is very important to bring this technology to the physical world. I mean, as you've mentioned, you've been basically at the forefront of AI and applications in the real world for two decades. You applied some of that know how to Uber and you're now already sort of working alongside Uber when it comes to trialing autonomous on the roads of Texas just and they're backing you in this particular fundraiser as well. What gets you from trial error to actually at functioning by 2025? Does regulation have to change, Raquel? So the regulatory framework, particularly in Texas where we're going to launch, you know, enable us to deploy this technology and we are working with all the regulatory bodies, you know, really in a day-to-day basis so that they can understand our technology with the trust. And for the first time, we have the ability to really make a much more robust safety case compared to the rest of the industry, which is trying to crank up miles in order in order to have, you know, a way to prove safety. But those miles are not not sufficient, right? If you look at the rate of events on highways, you know, a severe injury will happen every 10 million miles and, you know, and death on the road, it's every 100 million miles or, or the sofa meters. You need something different. And thanks to what we will, our genetic fear simulator, for the first time we have a, a way to prove safety in a, you know, scientific, mathematical way. And that's something that the regulators really appreciate as, you know, finally having, you know, the ability to really simplify systems in a much better way than the industry is today. So they're very excited about, you know, what we are building. And as I said, we bring them alongside and, you know, build trust from day one. So when everyone's trying to poke holes in Elon Musk's idea of robo taxis coming in a year or so with the August the 8th date hot in many investors minds, do you think that that can be a reality? And ultimately we can be seeing autonomous vehicles more broadly whether it's trucking or cars or robo taxis by 2025. I would say that you know, we we will see in the, you know, end to end all the types of approaches that you see in the industry today for level 2, Level 3, which is not fully autonomous systems. The problem of those approaches is that they are black box architectures. They are not interpretable. They are very different, difficult to validate and verify, and they require massive amount of data on compute to be trained. And it's not scalable either, like the, you know, the previous generation of technology AB one point O with the hand engineer approach. So we need something better and that's, you know, what we have with WAVY, this new generation of foundational models that they are really purposely built for the physical world so that you can really deploy safely this technology in a way that has superhuman capabilities. So we would see, you know, in the next, you know, months or years to come. But but it's very clear is that cell driving is going to happen and the scaling will happen first in tracking. That's why, you know, this is our first use case, but web is going to do so much more than yes, cell driving tracks. So humanoids, workhouse, robotics, you know, all those different use cases would be something that we will target in the future.

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