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.
Energy
Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows
Taiwan’s Apollo Power orders 260 Tesla Megapacks, betting AI data centers will need more electricity.
A Taiwanese power company has ordered 260 Tesla Megapack 2XL units, roughly 1GWh of storage, betting that electricity rather than chips will decide how fast AI data centers come online. Apollo Power signed the contract with Tesla’s Taiwan energy arm on October 8, according to the company’s filing with the Taiwan stock exchange.
The filing says the units are meant for behind the meter storage and resilient grid projects, with delivery in batches from the end of 2027 and sites operating in 2028. Apollo and Tesla did not disclose a price, citing a confidentiality agreement. Apollo plans to pay for the equipment through a cash capital increase and bank financing, and it noted the purchase is not revenue and does not mean it holds firm orders from its partners.
Biggo reported that only about 33 units are under signed customer contracts, with roughly 150 more in negotiation. The same report put total project investment near NT$130 billion, but that figure includes installation work, with the equipment itself making up about 40 to 50 percent. In other words, a large share of this order is Apollo reserving supply ahead of demand. Apollo’s chairman told local media global large storage supply is tight, which is why the company locked in the units early, according to Yahoo Taiwan Finance.
Apollo also launched an AI data center and grid resilience alliance with Phison, Gigabyte and Shihlin Electric. The pitch rests on a pilot at Phison’s Zhunan plant, where Apollo and Tesla Energy Taiwan installed grid forming Megapack 2XLs in June. Tesla Energy Taiwan general manager Sun Hsiao-Han said the project went from demo to 1GWh in four months, and that Tesla Energy has deployed more than 50GWh worldwide.
Taiwan’s cabinet has approved amendments that would require large energy users to install their own generation and storage, which gives enterprise storage a regulatory tailwind.
The deal fits a pattern Teslarati has tracked. Tesla’s Megablock targets 1GWh commissioned in 20 business days, a pitch aimed squarely at fast moving data center builds. Megapacks already back xAI’s Colossus in Memphis and a 400MW AI campus in Brazil. Sun Media adds that Megapack 2XL was named among the first products in Nvidia’s DSX Ready qualification for battery storage in AI factories.
Deliveries are more than a year away, so the real test is how much of that 260 unit order turns into signed customer contracts.
For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.
Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.
Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.
Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant
Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.
This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?
If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.
What do you think? Leave me a comment.
News
Why Elon Musk’s target date for buying an Optimus robot is harder than it sounds
Musk says China’s magnet export ban cost Optimus months, and robot hands remain shockingly hard.
Elon Musk says China’s export curbs on magnets used in electric motors set back Tesla’s Optimus program by two to three months, and that the robot’s hands remain the hardest part of the project. He made the comments Saturday during a live interview with Tesla Owners Silicon Valley at the X Takeover event at Giga Texas, in front of roughly 2,000 attendees. The Optimus discussion begins around the 49 minute mark of the stream.
On the hands, Musk was blunt and noted that a general purpose humanoid needs fine motor skills that are “incredibly difficult to get right. Shockingly difficult,” he said in the interview. He pointed to a problem he says no one has demonstrated yet: “One of the hardest things also generally is to do precision and force at the same time,” such as driving a small self tapping screw into wood. Touch sensors add another layer, since it is “actually kind of hard to get touch sensors that elastically deform and can handle high cycle life and it won’t just break after a few thousand cycles.”
He also took aim at rival robot videos. “Any complicated looking robot demo, it’s a canned demo. It’s not real,” Musk said, adding that real AI means showing a robot something it has never seen and watching it still cope, the way FSD handles a city it has never driven.
Musk expects the Optimus ramp to be slower than a new vehicle production ramp. “The initial part of that S curve of production ramp is going to be very slow at the beginning,” Musk said, partly because “unlike cars, there’s no pre existing supply chain for robot stuff.” That echoes his July reply on X that Optimus production “will be extremely slow at first, as everything is new.”
The magnet disclosure puts a number on a problem Musk first raised in 2025. He said China “prevented the export of magnets for use in electric motors” and that it “set back the Optimus program by like two or three months.” Then he added: “We had robots with no arms.” Tesla’s fix is to bring the supply chain home. “You’ve got to be able to make all the parts domestically,” he said. Teslarati reported in April 2025 that Musk tied the issue to permanent magnets in the arm actuators, where motors have to be as small as possible.
Tesla Optimus V3 hand and arm details revealed in new patents
Production is moving regardless, with a reported internal goal of more than 1,000 a week by the end of 2026. Teslarati recently covered how Tesla is certifying supply partners in China for Optimus parts, while the company’s hand design has been the subject of new patent filings.
Musk has said he wants Optimus available to the public by late 2027, though Tesla has not confirmed that date or published updated production figures.
Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows
Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service
Why Elon Musk’s target date for buying an Optimus robot is harder than it sounds
The Pentagon taps Elon Musk to design the battlefield of the future
Tesla Roadster’s new patent preps white-knuckle speeds, keeping it grounded
