Elon Musk in the Tesla call last night, reiterating his plan to launch paid driverless robotaxies in Austin by June.

Also out with some big promises, including 99% robotaxy market share and 10 million autonomous cars on the road in just a few years.

After they're going to start slow, it sounds like.

Deirdre Bosa has more in today's tech check, Deirdre.

Big ambitions, but you know, Sarah Elon Musk has long over-promised and under-delivered on the

robo-taxie front.

So it can be difficult to sort through the hype.

But now we looked at the data, and it is showing that he's getting closer to his goal,

while still, you know, far behind Alphabet's Waymo, the current leader in the space.

But I want to show you this chart from a crowdsourced website frequently cited by analysts.

It shows that Tesla's full self-driving system has sharply improved over the last year.

Miles to disengagement, climbing steadily.

And the percentage of drives without a single disengagement that has climbed to nearly 80%.

And this is a major leap from where the system stood even a year ago and helps explain maybe even better justify Musk's enthusiasm and ambition on the call last night.

He was asked about Tesla's Robotaxi strategy versus Alphabet's Waymo, which currently has a commercialized fleet delivering over 200,000 rides a week.

But he brushed off the lead, painting Waymo as the expensive, over-engineered bet and characterizing Tesla's strategy as the street smart, fully AI-driven upstart, ready to deploy millions of cars through just a software

update. Have a listen.

Ironically, we're the ones to make the bet that a pure AI solution with cameras, and

audio, the car actually will listen for sirens and that kind of thing. It's the right

move. And Waymo decided that expensive censor suite is the way to go, even though Google's very good

at AI.

Now, in other words, Musk is betting that scale beats precision and that software, not censors,

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