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Tesla Model Y’s revised suspension impresses car expert: ‘It was like riding on rails’
Automotive industry veteran Sandy Munro is in currently in the process of tearing down the Tesla Model Y. In a recently uploaded video, Munro delved into the vehicle’s suspension system, highlighting some of the subtle differences that Tesla made from the Model 3 to the Model Y.
Munro states that he is impressed with the new suspension of the Model Y. In an interview with Bloomberg Technology on YouTube, he says, “I thought this thing handled really well. I liked it; it was like riding on rails.”
In the recent MunroLive post, Munro highlights the similar suspension design between both the Model 3 and the Model Y, but clarifies that the two are not completely the same. One of the first differences Munro highlights is Tesla’s use of screws on the Model Y’s suspension dampers.
Previously on the Model 3, Tesla utilized a series of small bands to reinforce the sedan’s damper system. The primary function of this piece of the suspension is to quite literally “damper” the amount of bounce during travel. The damper controls the oscillation of the suspension spring and creates a less bumpy and smoother ride.
The reinforcement of the damper to the suspension system with screws creates a more robust and sturdy support. The Model 3’s damper system was subject to some complaints as per posts on the Tesla Motors Club forum, with some owners stating that their cars’ damper systems were weakening. Tesla could have reinforced the Model Y’s suspension system with screws because of the vehicle’s higher weight, as well.
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- The Tesla Model 3’s damper reinforcement, which consisted of “bands,” or zip ties. (Credit: YouTube | MunroLive)
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- The Tesla Model Y’s damper reinforcement system, which consists of screws. (Credit: YouTube | MunroLive)
Munro then commented on the “much beefier” build of the Model Y’s front suspension lower control arm, which is responsible for allowing suspension setting parts to rotate whenever the car is cornering. Tesla’s decision to create a more reliable control arm for the front suspension of the vehicle could also be due to the Model Y’s higher weight compared to the Model 3. But reasoning aside, Munro was happy with the decision to create a more robust control arm as it contributes to the Model Y’s improved suspension system.
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- Tesla Model 3’s lower control arm. (Credit: Pacific Motors)
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- The Tesla Model Y’s front lower control arm. Munro credits it as “beefier” than the Model 3’s. (Credit: YouTube | MunroLive)
In the rear suspension, there were fewer changes compared to the Model 3. The Model Y Performance that perched on top of Munro’s car lift was actually equipped with rear suspension lower control arms that were labeled as Model 3 parts. Munro states the commonality between the two parts not only suggests that Tesla had it right with the Model 3’s rear lower control arm, but that the carmaker will reduce spending money on developing or installing revised parts on its new vehicles. “This is a good idea for carmakers to use, or reuse, parts that have proven to be worthwhile,” Munro says.
The subtle changes Tesla decided to make the Model Y’s suspension system compared to the Model 3 not only increased cost-effectiveness but also improved the overall quality of the vehicle’s suspension. Munro states that a more in-depth analysis of the Model Y’s suspension will come when his team completely disassembles the car. According to this preliminary look at the system, Munro has noted drive quality and build quality improvements that have matched some of his standards so far.
Watch Sandy Munro’s first review of the Model Y’s suspension system 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.
News
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”
