Sandy Munro, a teardown specialist and auto industry veteran, is releasing the results of a study he conducted with battery expert Mark Ellis comparing the motors inside four electric vehicles, one of which was a Tesla Model 3. Despite analyzing the vehicle for a long time, the auto expert states that there are still mysteries that he is yet to uncover on the electric sedan.
“The Tesla has a lot of stuff hidden. The Tesla is a big mystery. It’s not obvious sometimes what clever things they’ve done, ” he commented about the California-based car maker’s motor in a recent interview summarized by Industry Week. “There’s mysteries every day. We thought we were clever, but we’re not that clever.”
One of the clever features Munro and Ellis discovered in their Model 3 teardown was the disconnect device for the high voltage. “It’s not really a fuse…It’s like a little explosion. If the car rolls over, they have a little disconnect that blows up, [cutting] all the power to everything and that way you don’t have an electric nightmare,” he revealed. Also, the inner magnets of the Model 3 motor were found to be under a lot of stress, which is not something other manufacturers have learned to do in high volume production. “We’ve talked to lots of magnet manufacturers, but this might be another one of these made-in-Tesla kind of deals. They make a lot of stuff in-house,” Munro guessed.
Another innovation that impressed the teardown team was how advanced the inverter/convertor device was that provides power to the motor, particularly in the use of silicon carbide on the devices’ integrated circuits. “It creates a lot less heat and is a lot faster than the Chevy and BMW,” Ellis added to the discussion. “Silicon carbide is the latest and greatest and Tesla so far is the only vehicle out there with it.” Munro and Ellis further noted the high level of tech Tesla’s motor contained, all while being considerably smaller than the competition.
The study will be released in a few weeks and also includes detailed information about the motors inside the Chevy Bolt, BMW i3, and Jaguar I-Pace. Munro had very positive things to say about Tesla’s technology, but the electric vehicles produced by industry giants did not receive quite the same accolades. “It looks like the other guys just went around and glued together whatever they could find off the shelf,” Munro jabbed at Tesla’s competition.
The BMW i3 was hit particularly hard and cited as the heaviest, most expensive, and very inefficient overall. “It’s not designed for… I don’t know what it’s designed for, really,” Munro swiped in the interview. “While everything on Tesla is…very, very efficient engineering.” Munro still isn’t sold on the Model 3 body, though, and takes issue with the complexity of the process it takes to manufacture it thanks to the number of parts, materials, and fastenings involved.
Munro has a history of strong opinions on Tesla’s car intended for the mass market. After completing an initial teardown of a 2017 version of the vehicle, he infamously commented that the car’s panel gaps could be seen “from Mars” among other very critical remarks about the way the car was manufactured. Tesla eventually issued a statement in response to the criticisms, indicating that significant improvements had been made to its Model 3 manufacturing process which would render moot many of the issues identified.
Once the Model 3 teardown was complete, Munro later admitted to eating “a lot of crow” in response to the technology installed and implemented throughout the car. He praised the Model 3 battery pack and the way it handles on the road, in particular, and also estimated Tesla was turning a 30% profit on the vehicle. Munro ultimately concluded that everything from the car’s suspension and down was perfect, but everything about its bodywork was questionable.
While the study Sandy Munro and Mark Ellis have conducted has not yet been released, from the sounds of it, crow seems to have still been on the menu for Tesla’s inner workings while old criticisms still stand about its outer packaging.
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
