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Tesla Model Y underbody shows zero compromises in safety and innovation
The Tesla Model Y is turning out to be a box full of good surprises for teardown auto expert Sandy Munro and his team. In a recent video showcasing the ongoing teardown process of the Model Y, Munro discussed how the all-electric crossover took no chances in terms of its wiring, brakes, quick-connects, and rear body structure.
Sandy Munro is familiar with Tesla’s vehicles, having torn down an early-production version of the Model 3 sedan. During that time, Munro pulled no punches in criticizing Tesla for the Model 3’s fit and finish, but he admitted that he ate crow as soon as his firm finished analyzing everything from the suspension, electronics, batteries, and electric motors.
By the end of the teardown, Munro was impressed enough with the Model 3 that his firm gave Tesla a goodwill list of improvements that the electric car maker can do to make its mainstream sedan better. Based on Munro’s recent walkthrough of the Model Y’s underbody, it appears that Tesla took the teardown expert’s tips to heart, and then some.
Immediately noticeable from the Model Y’s underbody was the flexible corrugated wrap Tesla used for the vehicle’s 12V wires. Munro noted that the use of flexible corrugated wrap is rarely done since it’s pretty much overkill, time-consuming, and expensive, but they do increase safety and minimizes the risk of shorting. So far, it appears that Tesla is one of the few automakers to go the extra mile with its 12V wiring system to ensure that its newest vehicle is as safe as possible.
Quick connects were also used by the electric car maker, which are much better than normal connectors since they never leak. The teardown expert stated that other automakers go for cheaper connectors such as screw fittings since quick connects are much more expensive. That being said, quick connects are also more reliable, highlighting Tesla’s focus on safety and longevity once more.
Brake calipers for the Model Y were also beefier compared to the Model 3, which should help stop the larger vehicle just as well as its sedan sibling. Observations from reviewers of the all-electric crossover mentioned that the Model Y drives like a legitimate canyon carver, and Munro himself has mentioned that the vehicle rides like it’s on rails. The vehicle’s large brakes may play a role in this.
But perhaps the biggest point of innovation for the Model Y’s underbody so far has to do with its rear, which is dominated by a gigantic aluminum casting. Munro explained that the Model 3’s boot was something that he did not appreciate since it had too many unnecessary parts. The Model Y, on the other hand, seemed to embody the actual suggestions Munro had for the Model 3. Overall, the teardown expert noted that he was glad to see his firm’s recommendations being implemented by Tesla in its latest vehicle.
Tesla may have a significant rebellious streak with its disruptive cars and equally disruptive business model. Yet despite this, the young carmaker has always been open to change and improvement, and this is something that was evident in the Model Y. Musk recently noted that “High quality and critical feedback from Munro & Co. is much appreciated!” This definitely appears to be the case, since the Model Y is looking to be a vehicle unlike anything that is on the road today, and one that embodies not just lessons learned from the Model 3 ramp, but suggestions from experts in the auto field as well.
Watch Sandy Munro’s walkthrough of the Tesla Model Y’s underbody in the video below.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
