The Tesla Model Y Performance has officially arrived at Munro and Associates office in Auburn Hills, Michigan, as automotive industry veteran Sandy Munro and his team begin their full teardown of the new all-electric crossover. Munro specified the teardown would consist of a complete disassembly of the vehicle starting from the inside of the car.
The teardown will allow Munro in his team to thoroughly assess Tesla’s newest vehicle by examining the quality of the car from its parts to its build quality. Additionally, Munro clarified that his team would be extremely focused on four main components of the vehicle. These include the lithium-ion batteries, electric vehicle motors, inverter/converter system, and the wire harness.
Munro’s red Model Y was delivered from California to the Munro office on March 30, 2020. Munro offered his first impressions of the vehicle on the following day by complementing the build quality of the crossover. “In the past, we’ve thrown rocks at what Tesla came out with, but I can tell you right from here…this [car] looks in pretty good shape.”
Munro did take his gap gauge to the crossover and noticed an extreme improvement in the vehicle’s build quality compared to the Model 3. Upon inspection, the front driver and front passenger doors were identical from all angles that Munro measured.
- Credit: YouTube | Munro Live
- Credit: YouTube | Munro Live
There was a slight discrepancy of just a single millimeter between the two door’s “sills,” or where the bottom of the door meets the frame of the car, but Munro notes the difference would only be visible to some of the most trained eyes. This led to the automotive veteran complimenting Tesla on the vast improvement in the fit and finish between the Model 3 and Model Y.
The gaps located above the Model Y’s lamps were also flawless and indicated a perfect four-millimeter space on each side, allowing Munro to give credit once again.
There were a few gaps that Munro advises Tesla to work on, but he was quite happy that he received an early version of the vehicle because it would allow the Silicon Valley-based carmaker to make improvements as time went on. “I’m sure that [Tesla] will start tuning things in, just as I was certain that the Model 3 would start tuning things in. Again, all in all, not bad,” he said. “For an early-stage product, this is pretty good.”
The rest of the teardown process of the Model Y will consist of multiple live stream events from the Munro headquarters. On Wednesday, April 1, MunroLive will officially kick off its first live stream with a complete analysis of the vehicle, as he will complete a further breakdown of the Model Y from its fit and finish to its thermal system.
On April 14, a live stream of a rapid disassembly of the vehicle will begin at 8 A.M. EST. “Our team will work around the clock until the Model Y is completely disassembled. The team will dig into the intricacies of the batteries, HV electronics, thermal systems, and user interface,” MunroLive.com notes.
The complete teardown will be available for viewing at MunroLive.com. The already completed portions of the teardown, including a description of the teardown process and the first impressions, can be viewed here, or on the Munro Live YouTube channel. Munro’s breakdown of the gap gauge measurements is available 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.

