Jaden Schaefer

She works there.

She starts her own company.

And Uber signs a deal with her and gives her $250 million.

So, I mean, obviously, this is a problem that Uber's been trying to solve for a long time.

They probably felt like they couldn't do it.

And then when someone else did, they were willing to give them a big check.

So Wabi is now joining a whole bunch of different companies that are doing this and also other ones that are deploying on Uber's platform.

So Waymo, Neuro, Avride, Wave, WeRide, Momenta, all of these are getting onto the Uber platform.

And and so they're kind of coming alongside them.

The deal also is coming at the same time that Uber has launched this new internal group called Uber AV Labs, which is going to let Uber vehicles collect real world data for all of their autonomous partners.

So all of these companies that are on the platform also are going to get more data to help train their models to make them better.

And it's kind of interesting because Tesla a lot of times kind of talks about how, look, we have like millions of vehicles on the road and this is what's making our AI, you know, autonomous driving system so good, which is true.

But it's not like other people can't replicate that because if you have this whole network over on Uber, now Waymo, Nervo, Avaride, you know, WeRide, Momenta, all of these are also going to be getting data and collecting and sharing and making all of these autonomous riding better as well.

So you're going to see kind of everyone else share their data.

Tesla seems to be the one that has that.

the most of it.

And so it's going to be interesting to see which of these two models win.

Unlike a lot of different AV development that is going to rely on a whole bunch of kind of real world data sets, a really massive real world data set.

Wabi says that their system is less data hungry.

And the way they've done this is actually really fascinating to me.