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Tesla’s $25k car and dedicated robotaxi will be Cybertruck-inspired: report

Credit: Teslaconomics/X

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Tesla’s $25,000 car and the company’s dedicated robotaxi past will both feature a design that’s inspired by the Cybertruck. This was, at least, according to Musk biographer Walter Isaacson. 

Citing an excerpt from Isaacson’s upcoming book, Axios noted that Musk was so focused on self-driving robotaxis that it took the collective effort of Tesla executives to persuade him to pursue an affordable car as well. As noted by the publication, the CEO only relented when his aides revealed a plan to build both the $25,000 car and Tesla’s robotaxi side by side. 

Tesla is aiming to reach 20 million vehicles per year in 2030. To achieve such a goal, the company would need a vehicle that it could build quickly at scale. This means that Tesla needs a car that would far exceed the Model 3 sedan and Model Y crossover in output. Tesla’s next-generation platform, which was discussed during Investor Day earlier this year, seems designed for this purpose. 

As per Isaacson, Musk gathered his top five lieutenants for dinner in Austin for a brainstorming session in November 2021. The agenda for the day was a basic robotaxi that could be produced in high volumes. Musk and his team would reportedly end up debating for almost a year whether they should play it safe and build a car with traditional controls, or opt for a vehicle that’s all-in on autonomy, with no steering wheel or pedals. 

Several Tesla engineers reportedly pushed for a more conservative approach. Tesla Chief Designer Franz von Holzhausen, during a meeting on August 18, 2022, even suggested that the robotaxi could be a vehicle with steering wheels and pedals that could be removed later. “If we go down a path of having no steering wheel, and FSD is not ready, we won’t be able to put them on the road,” the Chief Designer said. 

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Musk, however, was reportedly adamant. “No mirrors, no pedals, no steering wheel. This is me taking responsibility for this decision,” Musk reportedly said. The CEO also highlighted Tesla’s focus on autonomy. “Let me be clear. This vehicle must be designed as a clean robotaxi. We’re going to take that risk. It’s my fault if it f–ks up. But we are not going to design some sort of amphibian frog that’s a halfway car. We are all in on autonomy,” Musk said. 

Musk would later relent, however, following a meeting in September 2022. During the meeting, von Holzhausen and several others presented data indicating that a small, “global car” would be needed for Tesla to achieve its ambitious growth targets. The team also convinced the CEO that both the $25,000 car and the robotaxi could be built on the same next-generation platform. Both vehicles could be produced using the same assembly lines as well. 

Ultimately, Musk was reportedly convinced of the $25,000 car after von Holzhausen placed models of the $25,000 Tesla and the robotaxi side by side in Tesla’s Design Studio. Both vehicles were unlike other cars on the road today. As per Isaacson, both vehicles had a futuristic design that was inspired by the Tesla Cybertruck. Musk loved the vehicles. 

“When one of these comes around a corner, people will think they are seeing something from the future,” Musk said. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads-up. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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. 

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Credit: Grok

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.

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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.

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