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Tesla turns up vehicle safety with clever ‘crash can’ patent
Tesla’s electric cars are already among the safest vehicles on the road today with their impressive safety ratings. But even the best cars still have room for improvement, and one can count on Tesla to be the manufacturer that will do what it can to make its already-safe vehicles even safer. An example of this could be found in a recently published patent that describes a “crash can” that can help protect occupants better in the event of a collision.
The patent, titled “ADVANCED THIN-WALLED STRUCTURE FOR ENHANCED CRASH PERFORMANCE” describes a specific design for a “crash can,” a thin-walled metal structure that is built into the crash zones of a vehicle. These metal structures are built to absorb the energy of an impact, and are designed to deform in a stable manner during events such as a crash. Crash cans are typically a square, single-cell tube directly mounted to the front of the frame of the vehicle.
Tesla’s crash can patent takes the same concept but raises it up a couple of notches higher. Instead of using a simple square, single-cell tube, Tesla’s patent describes a “multi-cell structure that includes at least four hollow cuboids.” The four walls of the hollow cuboids meet at 90-degree angles and at least two of the cuboids share a wall. Tesla describes its design in the section below.
“In some embodiments a crash can for a vehicle includes a multi-cell structure that includes a hollow cuboid and four hollow isosceles trapezoidal prisms. The hollow cuboid has four walls and the four hollow isosceles trapezoidal prisms each have a long base, a short base, and two legs. The four hollow isosceles trapezoidal prisms are arranged around the hollow cuboid such that the long base of each hollow isosceles trapezoidal prism shares one of the walls of the hollow cuboid.”
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- (Credit: US Patent Office)
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- (Credit: US Patent Office)
Illustrations of Tesla’s “crash can” patent. (Credit: US Patent Office)
This updated design, while seemingly a minor change, actually improves the safety of a vehicle during a crash. According to Tesla, the crash can design in its recently-published patent provides a more stable deformation process. This increases the amount of energy that can be absorbed in a collision.
“One advantage of the various embodiments of the crash cans disclosed herein is that the multi-cell structure of the crash cans provides a more stable form of plastic deformation when the crash can is subject to the force of a collision relative to a single cell (tube) structure. Further, the various geometries described herein may further provide more stable plastic deformation relative to conventional geometries. As described herein, plastic deformation is the process of absorbing energy when the crash can is subject to a collision. Various exemplary crash cans provided herein increases plastic deformation, and thus the amount of energy absorbed, by increasing the probability that the crash cans buckle in a progressive manner. Thus, the multi-cell structure of the exemplary crash cans increases the probability that when subjected to axial force the crash cans will buckle in a stable top-down, progressive folding of the structure.
“Increasing plastic deformation in this manner grants the multi-cell crash can several advantages. For example, increasing plastic deformation in turn increases the amount of energy that will be absorbed during a collision, resulting in lower deceleration for the occupant(s) and critical components of a vehicle involved in a collision. This, in turn, results in an overall safer experience for the occupant(s) and critical components, providing for a lower chance of injury or damage. Additionally, increasing the probability that the multi-cell crash can buckles in a stable manner increases the predictability of how the crash can will react when subject to a collision, which in turn increases the predictability of how the rest of the vehicle will react. This allows for greater predictability of what an occupant will experience and allows for more precise planning on how to keep the occupant safe.”
The full text of Tesla’s novel “crash can” patent could be accessed here.
Among the carmakers in the auto segment today, Tesla is arguably the most obsessive when it comes to its vehicles’ safety. Each one of Tesla’s electric cars has performed well in crash tests, with the Model X SUV proving to be near-impossible to topple, and the Model 3 acing the safety tests of the NHTSA, Euro NCAP, ANCAP, and even the IIHS. With improvements such as those described in its recently-published “crash can” patent, Tesla’s electric cars today, as well as its upcoming vehicles, could prove even safer.
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”
