[sixQuarks]

You kind of have it correct, but Tesla is using vision, AI, and huge amounts of data. It’s like the chat-gpt of autonomous driving.

The data is the most important part, to solve real world driving everywhere, you need huge amounts of data for all the edge cases. Tesla has millions of cars on the road gathering this data, vs a couple of thousand for Waymo

[bryanlarsen]

Data quantity is useless if the data is of low quality. You need to be able to judge the car's performance in simulations to guide training. Elon admitted in the latest quarterly this is a huge problem for Tesla -- they have to do many millions of miles of simulations to compare two models. Higher fidelity data would cut this number by many orders of magnitude.

[sixQuarks]

You either didn't understand what Elon said, or are deliberately misinterpreting what he said - I listened to the earnings call myself. He said it's taking longer to train the models because the miles between interventions is getting so large that it takes a while to see which model is better when they're comparing different models. It's not a "huge problem", it's a good problem.

[bryanlarsen]

3rd party testing has Tesla at 13 miles between intervention. Even Elon only promises 10,000 miles between interventions later this year: https://x.com/elonmusk/status/1842029594570006992

[AStonesThrow]

> Tesla has millions of cars on the road gathering this data, vs a couple of thousand for Waymo

Except that Alphabet has been mapping and scanning for years, since before Waymo. And, Waymo vehicles are on the road while waiting for a fare, so they can use that time for mapping, while Teslas are reliant on where their owners go.