[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