Zhenzhu (Jinzhu) Wu

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420 appearances 1 recordings 1 series first heard Jul 2026 last heard 13 Jul

Zhenzhu (Jinzhu) Wu’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Decoder with Nilay Patel · Yes, even Nvidia's head of automotive is fighting for compute · 13 Jul 2026 podcast

But the second part, which was the safety guardrail, when we run two stack in parallel, that's definitely in the car.

And in the car, at every frame, the software in our ADAS ECU, we are comparing basically the trajectory from both the classical stack and the end-to-end model to make sure the model is outputting a safe basic trajectory.

Not necessarily, but we do require some connectivity to get navigation information and some mapping information.

Most of these are a navigation map.

So not only the model site and also the classical stack, which we do use some of the navigation mapping information to help us understand the world better, essentially.

Well, which is, this is not wrong.

But on the other hand, basically, you know, the car have to drive autonomously in completely blind spot as well.

Yeah.

Real time, basically low latency, I would say content dependency, you know, have that dependency in the cloud, at least for the ADAS kind of technology.

application L2 plus is what we call that, which is meant to work everywhere.

Building that dependency is not a good idea.

You can think of connectivity is kind of a sensor.

And again, the basic driving capability cannot have a huge dependency on that.

One of the core concept of developing level for a technology is you have a sensor redundancy.

That's not only for basically GPS, but also for camera, radar, everything you see.

For every single point of failure, the car have to be able to drive safely.

It's like you suddenly lost your GPS, but the car, with local perception, it needs to be able to get to a safe point and pull over.

That's the minimum requirement an L4 system needs to have.

So this is just the L4 basic principle to be able to develop such a system.

Definitely building autonomous car need a lot of hardware, but the other trend is the hardware cost is, I would say, is dropping pretty rapidly as well as the technology become more mature.

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