Zhenzhu (Jinzhu) Wu
speaker
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 · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
That's why I said it's multi-model, right?
But to reduce the end-to-end model, end-to-end latency is super important.
Actually, that's one of the key advantage of deploying, you know, drive the car with a model.
Because if you think about it, the old basically stack or the classical stack, which has multiple component, it's usually basically takes multiple hundred millisecond.
But with the model, because it's just inference time, it's separated between input, which is pixel, and trajectory, you can reduce the, basically, depends on the computer, obviously, capability you have.
But even in the current generation, we can control it to be within 100 millisecond, which is pretty fast.
And regarding the language reasoning, obviously, if you think about it,
Well, that's human brain, right?
But if you think about the language, basically, I would say the information rate is already abstracted.
The information rate is not super high.
And we are obviously using the internet data to train this kind of language-based reasoning capability.
I think the latency is well under control.
Let me put it that way.
And again, you're not driving the car with language only.
That's a key thing, as I said.
Usually the reasoning part is, I believe it's slower.
Again, we don't know exactly what the model is doing, but the pixel part, that's what drives the basic instantaneous kind of reaction of the vehicle.
We will use the guardrail to make sure it doesn't get too moody.
No, no, no, no.
All this validation offline.
Showing 261–280 of 420 · page 14 of 21
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