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.

Trend

recordings per month · last 12 months

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

Appearances

newest first · ▶ plays the moment

The a16z Show · Why Physical AI Is the Next Frontier | Applied Intuition · 21 Jul 2026 podcast

We're a technology provider.

So we provide that technology across the globe.

And I think that's something that's understated in this conversation.

But when you talk about collecting data, like in places like Korea, where they have North, South Korea, we have North Korea, they don't allow mapping companies, let alone allowing a, you know, an American company to come in and data collect.

So we've figured out over the years, whether it's the Middle East, whether it's LATAM, how to get into these countries, work with the governments and get the thumbs up to collect proprietary data.

And so in the way that it is similar to, you know, other digital AI systems, you're

proprietary data sets, scaling laws, all that stuff is the same is is applied in a very, very different way.

And it's almost like the way to think about it is like the diffusion of these models is very different.

Because you can't, it's not everyone can just access them through a phone, you're gonna end so so that

ironically, is actually plays in our favor.

Because once we have a massive proprietary data center, where we've been building, we already have hundreds of petabytes of data.

And then we have our own tools, which are like, you know, synthetic data tools, neural SIM, we can use our own tools, our own proprietary data that allows us to build some of the best systems in the business.

It's difficult, but it's also not difficult.

I mean, I think we have one of the largest data collection fleets on the planet, frankly speaking.

So that's how you bootstrap your way into it.

That's just money and resources and technical knowledge.

But it's not like there's probably more than five companies that have that technical knowledge.

So it's not extremely obscure.

I think what is more difficult is then

how do you actually have that model which is going to work on lots of different hardware and is you know is is tested appropriately because the you saw it you know in cruise right cruise was this company that did amazing self-driving work and then one accident general motors owns them and they get super scared and they pull back so it's like just getting these things into production is actually more difficult than than uh than it seems um

Showing 141–160 of 851 · page 8 of 43