Qasar Younis
speaker
851 appearances
1 recordings
1 series
first heard Jul 2026
last heard 21 Jul
Qasar Younis’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
I think, like, we believed synthetic data was going to be important.
So we started our synthetic data team, like, five years ago now, plus.
Probably more than that.
Yeah, more than that at this point.
And, like, we're a strong believer that synthetic data can accelerate autonomy development.
We've just seen that.
And then there are, like, lots of, you know, secondary and tertiary, like, technical innovations that happen.
Obviously,
the transformer revolution hitting self driving massive, basically everything done in self driving, pre 2122 relevant, but you're almost like that's kind of the starting point.
But it's also different than today being the starting point, like there, those four or five years are actually there has been a lot of work done, you can see it most clearly with Tesla, but there's other folks in that process, the actual techniques
Historically, and I'm simplifying here, imitation learning was the way of the game, which was collect a bunch of data, and then the models would basically imitate what human drivers do.
The real state of the art right now is end-to-end reinforcement learning in a closed loop in your tools.
It's a little simplified to say the system learns itself.
It identifies where the issues in the self-driving system are.
And essentially, you then find data like that or you synthetically create data like that.
And then you close that loop and you seek, are you performing those same scenarios better and better?
I think if you fast forward some years, that will be a completely closed loop, like with no humans intervening.
Right now, you still have like, like what's the fog error that we saw?
We still see errors in the real world that impact self-driving.
One of my first distributions personally, so I enjoyed that.
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