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Tesla Model Y welding efficiencies paves way to better build quality, top safety rating
Tesla CEO Elon Musk said the Model Y would be the safest midsized SUV on the road when it was unveiled in March 2019. Sandy Munro’s 11th episode of his Model Y breakdown series shows how the vehicle’s weld quality, added foam reinforcements, and “aluminum crush plate” could solidify Musk’s claims about the vehicle’s safety, while opening the doors towards better build quality.
Munro states the company’s focus on one welding technique has left him with nothing but positive remarks about the vehicle’s build quality. “The distancing is great. The edge is perfect. This is the kind of stuff that any car company…would be happy to have these kinds of welds all the way around,” he said.
The Model 3’s weld techniques were discussed during Munro’s teardown of the sedan in 2018 when he criticized Tesla’s use of multiple weld techniques. After stating the Model 3’s welding made it look like “a science project,” Munro claims the use of a single technique would have allowed for a more consistent build quality throughout the vehicle.
True to form, Tesla appears to have taken Munro’s suggestion for the Model Y. Tesla was consistent with the Model Y’s welds, and it surely impressed Munro. The electric car maker also used self-piercing rivets, or SPRs, to join dissimilar materials, like steel and aluminum. These two materials are present on the rear door flange welds, making for a quality build on the vehicle’s door frames.
Additionally, Tesla installed head impact countermeasures, or HICs, on several locations. These are used to soften the blow in the event of an accident where a passenger’s head collides off of a portion of the vehicle’s interior. Tesla’s decision to add this was a nice touch in Munro’s opinion, as it only increases the safety of the vehicle.
The Model Y is also equipped with a unique piece of aluminum in the upper lip of the trunk. Munro calls it the “aluminum rear crush plate/bracket.” The part holds the outer portions of the chassis together. The piece also is responsible for folding in the event of a rear collision.
This increases not only safety but also cost-effectiveness if an accident occurs because it will keep the outer frame of the vehicle from being compromised, Munro says. It is easy to remove thanks to a few bolts that are visible and readily accessible, and would also save a driver perhaps hundreds of dollars in labor costs at a shop. “If I hit a pole, it will cost me a few bucks, but it won’t cost me the whole damn car,” Munro jokes.
Under the rear seats, Tesla has installed not only EPP foam, which offers cost-efficiency and effectiveness, but also the Model 3’s floor cover plate. This is used to hold the rear seating assembly in place and separate the cabin from the undercarriage of the car where the battery is fitted. Tesla’s utilization of this Model 3 part proved the part was perfect for the Model Y, and the company has plenty in its stock bin, saving them time and money throughout the manufacturing process of the new vehicle.
Tesla’s already high safety marks for the Model 3 were improved even further in the Model Y thanks to recommendations from Munro. The auto expert’s discontent with the Model 3’s welding eventually led to improvements in the Model Y’s build quality. Tesla’s decision to add other safety features could make the vehicle Tesla’s safest car yet. Just as Elon Musk said a year ago, the Model Y may very well be the most reliable midsize crossover available to consumers.
Watch Munro Live’s breakdown of the Model Y’s safety features below.
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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.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
