Tesla CEO Elon Musk recently noted on X, formerly Twitter, that while the upcoming $25,000 car and the Robotaxi would not necessarily be Cybertruck-inspired, the driverless vehicle would “look like the future.” A concept image of Tesla’s dedicated Robotaxi included in Walter Isaacson’s Elon Musk biography suggests that this may indeed be the case.
As Tesla watchers eagerly awaited the release of Isaacson’s book, a page from the Musk biography was shared online. The page seemed to represent the start of a chapter that’s dedicated to the upcoming driverless vehicle, and it also included two photos. One photo showed Tesla’s core executives, and another featured a concept.
The vehicle is, as one could describe it, undoubtedly futuristic. It is also nothing like anything that Tesla has launched so far. Described as a “Robotaxi Concept,” the illustration featured two seats, no steering wheels, and no pedals. The vehicle also had butterfly doors, as well as what seemed to be a three-wheel setup.
Tesla Robotaxi
Omead Afshar, Elon Musk, Franz von Holzhausen, Drew Baglino, Lars Moravy, and Zach Kirkhorn#ElonMusk pic.twitter.com/EB49u0wAKG— rs295 ? (@RS295X) September 12, 2023
Interestingly enough, such a vehicle was also teased during a CBS interview with Isaacson. The interview featured some B-roll footage and photos, including an image of Tesla Chief Designer Franz von Honzhausen standing before a wood model of a vehicle. Just like the Robotaxi concept on the Musk biography’s page, the wood model featured two seats, no steering wheels or pedals, and some cargo space that’s enough for some luggage.
Did CBS inadvertently just share a photo of Tesla’s upcoming Robotaxi?
Just a few hours ago CBS released a segment called Walter Isaacson on the volatile Elon Musk. They shared a wood model of a small vehicle but in the left corner they showed something even more substantial… pic.twitter.com/qreKTQJF3y— Dave Lee (@heydave7) September 10, 2023
Behind the wood model were two posters that seemed to represent the vehicle. The image was not clear, but it seemed like they were showing two variants of the futuristic car — one with three wheels and another with four wheels. If the Robotaxi is indeed designed for high volume and low-cost production, then it would not be too farfetched if Tesla produces two variants of the vehicle. In such a scenario, a three-wheel Robotaxi may be perfect for one or two passengers, and a four-wheel variant could be designed for groups of three to five.
Perfect.
No clue if this is what it'll actually look like, but I've been expecting something like this.
That's because most trips only involve one to two people.
For other trips you can hail another S3XY vehicle from the Tesla Network. https://t.co/pEAU1AlLva— The Limiting Factor (@LimitingThe) September 11, 2023
As noted by battery enthusiast and tech veteran Jordan Giesige of YouTube’s The Limiting Factor channel, a small, two-seat Robotaxi would actually be useful since most ride-hailing trips only involve one or two people. That being said, Tesla enthusiasts should probably take the Robotaxi concept image in Isaacson’s Musk biography with a grain of salt. After all, it does seem unlikely that Tesla will share the design of a yet-to-be-released vehicle before it is formally unveiled.
Walter Isaacson’s CBS interview can be viewed below.
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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”
