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.
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- Credit: YouTube | Munro Live
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- 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
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.”
News
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
