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Rivian’s patent reveals electric truck’s ability to auto-adjust to removable modules
In a recently issued patent generically titled “Systems and Methods for Reconfigurable Electric Vehicles”, electric truck maker Rivian imagined a customizable driver experience wherein its cars feature both swappable module components and a computer system that adjusts the vehicle’s configurations to fit them. There’s even a potential business opportunity included with the functionality via the suggestion that vehicles and modules don’t need be to owned by the same people.
Planning a jet ski trip but don’t have the right cargo fitting on your SUV? Perhaps you could rent the right bed from a local Rivian module supplier where, after installation, your car will adjust its suspension and height after detecting what’s been installed. There’s a lot of imagination that can be poured into an electric car brand when users are free to customize their vehicles’ utility purpose however they see fit, and Rivian has captured just that in this method patent.
Easily swapping out major parts of a car kind of sounds like something an infomercial might pitch, but according to Rivian, it’s an unfulfilled need in the electric vehicle arena. As summarized by their patent (U.S. Patent No. 10,207,757), there are numerous uses for EVs that aren’t being tapped into because their configurations aren’t adjustable like fossil fuel-powered vehicles. Perhaps the aftermarket availability of numerous non-EV truck bed types, for instance, were part of this invention’s inspiration to create and offer modules for Rivian vehicles.
So, what exactly is a module in the Rivian sense? Perhaps the patent should speak for itself, per claim 28: “…wherein said different removable structural models include a removable recreation module; a removable delivery module; a removable open box utility module; a removable flat bed support module; and a removable side rail module.” The patent further notes that these modules would be attached to Rivian’s vehicles via latching mechanisms. Through these components, Rivian’s electric trucks can accomplish various tasks that would conventionally require multiple vehicle setups.
Rivian’s patent goes beyond just owner convenience and flexibility. In fact, one of the systems claimed is a business structure wherein module-swapping drivers don’t even own the trucks/SUVs but rather use their varied configuration cars on a rental basis. Maybe a delivery service could use the vehicles as needed, outfitted with modules appropriate for the size and shape of their haul. Or a business traveler could rent special configurations based on their particular trips’ needs.
Additionally, proposed data tracking capabilities could provide usage monitoring that would create preferential settings based on a renter’s history with the Rivian pool fleet. Things like braking sensitivity and ride firmness would be part of the customized customer experience using this data.
Although it’s only somewhat recently made its entry into the all-electric car manufacturing scene and won’t have production cars coming off the line until 2020, Rivian is already making waves with its clever innovations. Extra large battery packs with low centers of gravity and high ground clearance are expected to provide an impressive 400 miles of range with 200 horsepower available at each wheel, and smaller auxiliary packs that function like portable fuel tanks are anticipated to be available as well.
Since Rivian’s electric trucks are meant to be luxury adventure vehicles as well as modularized utility units (potentially), self-driving guided tours reminiscent of those in Jurassic Park are also on the feature list. The coming announcements certainly sound exciting, and for those ready to make the leap into ownership, Rivian has opened up reservations for both vehicles on its website, estimated to be in the $60,000 range after incentives.
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”
