The CEO of ride-sharing platform Uber has shared some of his doubts about Tesla’s ability to effectively execute robotaxi plans for its customers, pointing to the customer service side of the business as well as vehicle owner skepticism about letting strangers into their cars.
Tesla plans to launch a robotaxi platform in October, and CEO Elon Musk has talked at length over the years about hopes that such a platform could let owners’ vehicles work in a ride-sharing capacity while not in use, effectively making them money while driving themselves and ride-share passengers.
On Friday, Uber CEO Dara Khosrowshahi appeared on the Logan Bartlett Show on YouTube to discuss autonomous vehicles, during which he expressed more than a few doubts about Tesla’s robotaxi plans. For one, he says, peak ride-sharing times might coincide with the times owners want to use their own vehicles.
“Probably the times at which you’re going to want your Tesla are probably going to be the same times that ridership is going to be at a peak,” Khosrowshahi said during the interview.
He also notes that he doesn’t think society is prepared for self-driving vehicles, even if they are getting closer to goals of becoming safer than human drivers.
“Logic would dictate that if robots are twice as good a driver or three times as good as drivers as humans, that’s good for society going forward, but I honestly don’t know if society’s ready to accept that,” Khosrowshahi said.
The Uber CEO also talked about the business changes that Tesla would need to invest in to successfully build such a platform, and he noted how different he believes the ride-sharing and vehicle-building businesses really are.
“It’s a really, really different business you know, as well as talking about hardware, to build a $20,000 or $50,000 piece of hardware from driving over 30 million transactions every day that on a revenue basis you make $2 off of,” he added. “It’s just a very, very different business.”
Khosrowshahi also goes on to highlight the extra platforms that companies have to create to accommodate things that can go wrong in a ride-sharing vehicle, from people getting sick and wanting to pay with cash to those losing items in their ride-share, accidents, and more.
Unsurprisingly, he notes that it might be worthwhile for Tesla to partner with ride-sharing services like Uber in the future instead of developing its own, noting that he thinks the automaker could benefit from partnering with Uber.
“It’s taken us 15 years. It’s taken us tens of billions of dollars of capital, and we can provide that instantly to a partner,” Khosrowshahi added. “Hopefully, Tesla will be one of those partners.”
You can see the full interview with Uber CEO Dara Khosrowshahi below, as hosted by the Logan Bartlett show.
To be sure, Tesla has already teased a mobile platform it has been building for its robotaxi plans, and it has been developing its Full Self-Driving (FSD) Supervised for the past several years through testing and training from drivers that have purchased the software.
Other companies like Waymo and Cruise have also been working on their own driverless ride-hailing solutions, with the former already offering paid rides in select areas for the service. Despite this, Musk has previously highlighted that he thinks these companies will have a lot more trouble scaling these services, due to their requirements of high-density mapping of specific serviceable areas.
These, Musk says, are unlike FSD, which can theoretically be used just about anywhere due to its camera-based system and continuously-trained neural network. It’s worth noting that Tesla’s FSD still requires supervision, hence the name FSD “Supervised,” and it isn’t exactly clear just yet when the company expects to launch unsupervised versions of the software.
Although Tesla was originally supposed to hold its robotaxi unveiling event this month, Musk noted that the delayed event would allow the company to make some important changes and allow it to show off additional features.
“Requested what I think is an important design change to the front, and extra time allows us to show off a few other things,” Musk wrote in a post on X last month.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
