Robotaxis as a business has to be lower than a taxi as long as robotaxis are not known for being the better driver.
And woman have used taxis plenty of times especially because or for security. So I don't think your argument is very strong.
16 karma · joined January 27, 2026
And woman have used taxis plenty of times especially because or for security. So I don't think your argument is very strong.
What do you do know why sitting in front of your stearing wheel?
I listen to music and audibooks and I would not have a device between me and the airbag.
But I calculated traveling 2 times a week, of course at the commute time everyone else commutes and public transport costs 50 Euros per month.
My company car though costs 200 Euros + 100 Euros energy.
Im pretty sure cybertaxi can't and will not provide 40 cents / mi in high demand times, for middle class paying more mone for the convinince of having your own car is still cheap and if i need to do anything further away like any trip, it will be expensive again.
And all of these cybertaxis have to live somewere.
The math doesn't make sense already.
Uber makes money on every ride.
Teslas Robotaxi has to be cheaper than a taxi with a human and i don't think they will be able to have a lot higher revenue per ride than uber. Not 9x
And if Tesla starts to deliver a robotaxi, all of this revenue has to be shared between taxis, uber, Tesla, Waimo, Zoox, Rimac, Cruise, Baidu, WeRide, ...
So how huge is the market for Tesla to be valuated 9x higher than Uber?
We can even combine a big car company, a robotics company, a solar roof company, battery storage company, ETruck and a robotaxi company and STILL don't get to the same valuation than Tesla currently has.
Teslas share price is math for stupid people.
Uber, the globally available taxi company, is valued 8 times less than tesla. If you are now able to kill all the costs for the taxi driving and reduce the cost for the car also, how much revenue is left?
Robotaxi has to be cheaper than a normal taxi to kill taxis. The margin of that company can't be that much more than a company like uber.
And uber itself will also invest in this, as every other car company. XPeng and co everyone who is building or working on this, will not just idly looking and waiting for tesla to just take 'whatever this cake' will look like.
For me it becomes a complet game changer if it becomes so reliable so extrem reliable, that i can order a car at night, a fresh bed / couch is then in the car and i can lie down while it drives me a few hundred kilometers away.
FSD is good in video, given. But its not full self driving as it still requires you to keep an eye on it.
Real FSD for me at least, means I can sit in a 'car' open a laptop and work. But honestly working with a laptop in a car makes it dangerous when driving fast.
For my work commute, I don't need a FSD. For my holiday also not.
What I want is real and save FSD something which has proofen on the road that it is really really good.
We are far away from this. 5 years minimum if not 10. And while Tesla is playing around with FSD and putting it now behind a subscription and fooled everyone with the promise of FSD with HW3 and below, it will not suddenly make Tesla the single leader in FSD at all.
Waymo is working on it, Xpeng can do it, BMW, Mercedes and Nvidia.
For Cybertaxies alone you need a lot of infrastructure (parking spots), cleaning crew, management software etc. you need the legal framework to be allowed to drive them (not going to happen anytime soon in europe) and then you only compete with normal taxis and uber.
Good for them as a company, thats why they are still here.
And now? Everyone builds EVs, everyone is as far as Tesla or better.
Even the old school companies like BMW have now more models than Tesla and the Cybertruck was expensive to build, build badly and did not deliver what Elon the druggy and antidemocrat Musk promised.
Here is the paper were I read about it: https://arxiv.org/html/2601.04480v1
A LLM has structures in its latent space which allows it to do basic math, it has also seen enough data that it has probably structures in it to detect basic trends.
A LLM doesn't just generate a stream of tokens. It generates an embedding and searches/does something in its latent space, then returns tokens.
And you don't even know at all what LLM Interfaces do in the background. Gemini creates sub-agents. There can easily be already a 'trend detector'.
I even did a test and generated random data with a trend and fet it to chatgpt. The output was very coherent and right.