The original title says "self-driving" and that's much more clear.

I assume this is possible because the costs of adding the sensors to vehicles has dropped?

> [Uber] currently has partnerships with 25 AV companies... and is building what [Praveen Neppalli] Naga, [Uber’s chief technology officer] described as an “AV cloud”: a library of labeled sensor data that partner companies can query and use to train their models

So Uber's edge here is that expanse of their driver network allows them to build a comprehensive data set.

He said he “didn’t care and besides what was he going to do about it anyway, it’s going to happen no matter what”

I asked if he had ever heard of collective bargaining or knew about unions and he said no.

I think we’re only about another generation before the only purpose for human labor is to train and check the outputs of a machine.

You can’t be the CTO of Uber wanting to do AVs, and get the data collection requirement shockingly wrong.

Waymo’s bottleneck has never been data. When they want data about a school intersection in SF at a certain time of day, they just... synthetically generate it and simulate: https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-f...

Waymo is able to deploy with very little data collection by having world class simulation capabilities. They have most efficient operation in the AV industry.

The best example of why data collection isn’t the bottleneck is Tesla. They boast about billions of miles of data, yet they’re struggling to put out fully autonomous vehicles.