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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
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
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Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
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Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
