News
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.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, 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.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
