It appears that Tesla’s rear casting and structure improvements for the Model Y have been designed to improve the safety of passengers who will occupy the vehicle’s future third row of seats.
As Sandy Munro continues to dive into the company’s new all-electric crossover, several clues hint toward the vehicle’s improved rear safety design. Munro mentions multiple design improvements that range from thicker longitudinal bars to prevent crunching in the even of an accident, to new bolt shapes that decrease weight and improve durability.
Munro first looks at the castings on the side rails of the Model Y. The attachment points on each side of the car indicate they are one piece and are not welded on. “They’re plenty strong, and you can see they’re just cast in place,” he said. Also, the under-seat points are 3 to 3.5mm thick. Munro suggests Tesla moved added density to other areas that may be more susceptible to being compromised in an accident. “There is a lot of good stuff here. I like that.”
According to Munro, Model Y has improved fixture points on the rear longitudinals that run from the front to the back of the car. While the two bolts on the front of the longitudinals are standard, the top bolt on the rear end is scooped out. “These are common on Japanese cars. See how it’s dished out? The Japanese use this for weight reduction, but it is also good for a shear bolt. So my guess is this may be something to do with crashworthiness,” Munro said.
Shear bolts are commonly used to protect equipment from sudden impact or excessive load. They are often referred to as “anti-theft bolts” and popular among assemblies that may be subjected to occurrences of excessive force. However, they are ideal for safety and an accident would maintain the structural integrity of the rear portion of the car, keeping those seated in the back safe from injury during a violent collision.
Speculation from the Detroit veteran suggests the Model Y’s third row of seats will be rear-facing, especially as the design of the mounting brackets only leads Munro to believe that the sixth and seventh passengers will be looking out of the vehicle’s rear windshield.
“We can’t see anything that says that we’re going to be putting front-facing seats. But, we sure can see where it could be a potential there for rear-facing seats,” Munro said.
A video Munro posted on April 4 to the company YouTube channel examined the Model Y’s potential for rear-facing third-row seats. Munro hopped into the trunk of the crossover and was impressed by the size and spaciousness, and mentioned that it was “semi-comfortable” and may be best for children based on its storage design.
Based on what is known about Tesla’s previous and upcoming third-row seating options, the design would likely be rear-facing. Jump seats in the Model S were popular among the sedan’s owners before the release of the Model X. Additionally, the upcoming release of the Plaid Mode Model S will include rear-facing jump seats that will support larger passengers instead of just children.
The Model Y was always aimed toward being the safest midsize SUV on the road. With the inclusion of an optional third row of seats, the Model Y’s rear collision safety had to be revamped and rejuvenated. The addition of shear bolts for durability and increased thickness in some areas for added strength was likely added to improve the safety of third-row passengers in an accident.
Watch Munro’s video of the improved rear castings and safety design of the Model Y below.
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”
