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Porsche says it may spawn other EVs off of the Mission E platform
Scalability is the new paradigm in the car business. In order to build cars that are the lowest possible cost, manufacturers strive to make as many parts off of common platform as possible. When building vehicles derived from a common chassis, wheelbase and width may increase or contract, but the rigidity needed to pass various crash tests should remain the same. Even details like the placement and size of air conditioning ducts in the dashboard need to be standardized to reduce manufacturing costs.
Michael Steiner, member of Porsche’s executive board for research and development, has revealed that scalability has been designed into the chassis for the Mission E – the German automaker’s first foray into the electric vehicle segment.
“The conceptual design of the Mission E once again gives us technically the potential to do more with this platform, and also we think about if the battery electric business will be fast growing and we think that the whole business will change, most probably pretty fast at some trigger point. That should be not the only battery electric car,” Steiner says. “In general we think what could be a second or third step, and also in terms of the platform of Mission E there is no reason why this has to be only a one body-style platform,” Steiner added, according to CarScoops.
Asked about whether an electric SUV could follow the Mission E, Steiner said that such a car was certainly possible “with some modifications” to the Mission E platform. He suggested it could share technologies with Audi’s upcoming all electric Q6 SUV. But first, Porsche needs to see how the Mission E performs in the marketplace and what the demand for premium electric cars will be. Italian supercar maker Lamborghini is also looking to enter the electric vehicle space with its own all-electric hypercar built off of Porsche’s Mission E platform.
Scalability is a key factor for another potential Tesla competitor — Faraday Future. It says the same chassis that was used to make the silly FFZero1 concept car for CES last January can be stretched or shortened to serve as the basis of a family car, an SUV, a minivan, or any other vehicle customers want. Furthermore, its modular battery design will allow the company to add or subtract battery cells to meet the power needs of various models.
Tesla is also focused on scalability. The Model X was supposed to be manufactured on the same chassis as the Model S, but events took over and it turned out to be just a cousin to the Model S rather than a clone. But Tesla has taken the lessons learned from the Model X to heart and used them to make the upcoming Model 3 more suitable for efficient production. We have already heard there will be a Model Y crossover/SUV that will be built on the same chassis as the Model 3. The Silicon Valley automaker has also been reducing the number of available options on its fleet of vehicles. Just last week, we reported that Tesla has quietly removed two color options as well as the 60 kWh battery on the Model X, as the company aims to streamline production on its fleet of vehicles.
Nobody knows what the future of automobiles will be. Gas prices and emissions regulations could cause consumers to decide they want vehicles that are like nothing available today. Typically, it takes 5 years to bring an entirely new model to market. In the coming years, car companies may need to get new products to market more quickly and will rely on scalable platforms to achieve that. Whether its Porsche, Faraday Future, or Tesla, the ability to react quickly to changes in the marketplace may make the difference between profitability and financial ruin.
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”
