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Tesla Model 3 analysis triggers legal woes for teardown expert Sandy Munro
Detroit veteran Sandy Munro of Munro & Associates is reportedly being threatened with a lawsuit over his teardown and analysis of the Tesla Model 3. The possible lawsuit was mentioned briefly by Autoline Network host John McElroy during a recent episode of Ask Autoline on YouTube.
McElroy only provided very few details about Munro’s legal troubles, simply stating that the threat of a lawsuit was coming from an entity connected to the Model 3 teardown and analysis. The legal troubles of the teardown expert have resulted in several speculations about the identity of the possible plaintiff, with Tesla critics at one point suggesting that Tesla itself was probably behind the threat of legal action against Munro.
These speculations were promptly curbed by CNBC reporter Lora Kolodny, who was able to get in touch with Munro himself through email. Kolodny clarified in a Twitter post that Munro is not under threat of being sued by Tesla, nor by any TSLA bulls or bears; rather, it is from a corporation that would remain unnamed for now. Munro also informed the CNBC reporter that he had signed a contract limiting his ability to do press, at least for the time being.
“This has nothing to do with [Tesla] or the different factions; bulls or bear(s). There is nothing I can do until they publish their report,” Munro wrote.
Munro’s legal woes resulting from his teardown of the Model 3 comes as investment bank UBS concluded that Tesla would not be able to make any money from the $35,000 base trim of the electric sedan. UBS’ findings stand in stark contrast with those of Munro’s, who estimated that the $35,000 Standard trim Model 3 could give Tesla an 18% profit. It should be noted that both UBS and Munro & Associates are only estimating the costs of the base Model 3, particularly since Tesla is expected to start production of the electric car’s Standard trim by Q1 2019.
While UBS and Munro & Associates have their differences about the profitability of the $35,000 Standard trim Model 3, both firms agree that the technology present in the electric car is beyond that of competitors like the Chevy Bolt EV. When explaining why he had to “eat crow” with regards to the Model 3 (he was initially skeptical of the vehicle due to its fit and finish), Munro noted that Tesla’s battery pack in the electric car is the best he has seen to date. This sentiment was shared by UBS in its study of the Model 3, with the bank stating that Tesla’s battery packs have a cost advantage due to its cylindrical cells, which are more economical than the pouch cells Chevrolet opted to use in the Bolt.
Just like Munro, UBS was also impressed with Tesla’s powertrain in the Model 3, which was developed entirely in-house. UBS noted that this is completely different from GM’s strategy with the Bolt, since LG supplied roughly 90% of the electric car’s powertrain content. Part of UBS’ report was the conclusion that Tesla delivered “the best powertrain at the lowest cost,” and that the Model 3’s powertrain is “next-gen military-grade tech years ahead of its peers.”
UBS’ report claims that Tesla would be losing about $5,900 for every $35,000 Standard trim Model 3 it sells. Nevertheless, it must also be noted that when UBS conducted an analysis of the Chevy Bolt last year, the investment bank concluded that GM was losing $7,400 on every Bolt that was sold at its $37,000 price tag before government incentives. UBS was quite optimistic about GM’s plans for a self-driving car ride-sharing service, which could give the veteran automaker recurring revenue. That said, UBS is also not accounting for Tesla’s possible revenue from the Tesla Network, the company’s planned self-driving car ride-sharing service.
Watch Autoline’s John McElroy briefly discuss Sandy Munro’s possible legal troubles resulting from his Model 3 analysis in the video 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.”
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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.
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
