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Tesla fires back at new class-action suit that alleges “inoperative standard safety features” on Autopilot 2.0 cars

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Tesla has been transparent about its Enhanced Autopilot software which the company said would roll out incrementally over time, but that hasn’t stopped HBSS Law firm from filing a new class-action suit today, alleging that Tesla deceitfully sold “inoperative Standard Safety Features” on cars that “lack basic functions featured in cars at half the price”. In question is, what the suit describes as, “nonfunctional” Autopilot 2.0 software, an optional feature available on Model S and Model X vehicles equipped with self-driving hardware.

Tesla responded to the suit, slamming the credibility of the claims being made, stating:

“This lawsuit is a disingenuous attempt to secure attorney’s fees posing as a legitimate legal action, which is evidenced by the fact that the suit misrepresents many facts. Many of the features this suit claims are “unavailable” are in fact available, with more updates coming every month. We have always been transparent about the fact that Enhanced Autopilot software is a product that would roll out incrementally over time, and that features would continue to be introduced as validation is completed, subject to regulatory approval.

Furthermore, we have never claimed our vehicles already have functional “full self-driving capability”, as our website has stated in plain English for all potential customers that “it is not possible to know exactly when each element of the functionality described above will be available, as this is highly dependent on local regulatory approval.”  The inaccurate and sensationalistic view of our technology put forth by this group is exactly the kind of misinformation that threatens to harm consumer safety.”

The new class-action suit alleges that the California electric car maker knowingly sold nearly 50,000 vehicles equipped with self-driving Autopilot 2.0 hardware and the promise that Enhanced Autopilot hardware “still has not met Tesla’s promises” and was missing standard safety features.

The suit specifically takes issue with the Enhanced Autopilot feature of Tesla vehicles noting that, “the “Enhanced Autopilot,” for which customers paid an extra $5,000, is ‘essentially unusable and demonstrably dangerous.’”

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The Tesla purchase page for the Model S “Tesla’s Enhanced Autopilot software has begun rolling out and features will continue to be introduced as validation is completed, subject to regulatory approval.”

The suit takes issue with the “beta” nature of the Enhanced Autopilot software, alleging that Tesla knew that it could not do what Tesla claimed it would do. It states that “the automaker knew that its software was incapable of upholding its promises to purchasers.”

Steve Berman a managing partner of Hagens Berman which represents the plaintiffs, shared:

“Tesla has endangered the lives of tens of thousands of Tesla owners across the country, and induced them to pay many thousands of dollars for a product that Tesla has not effectively designed. Tesla sold these vehicles as the safest sedan on the road. What consumers received were cars without standard safety enhancements featured by cars costing less than half the price of a new Tesla, and a purported ‘Enhanced Autopilot’ that operates in an erratic and dangerous manner.”

The suit compares the safety features available in Tesla vehicles to those available on “cars costing less than half the price of a new Tesla.” Tesla’s over-the-air update of firmware 8.1 aimed to bring Enhanced Autopilot to near feature parity with Model S and Model X vehicles equipped with first generation Autopilot 1.0. Here’s an excerpt from our coverage of firmware version 8.1, when it was first introduced:

Vehicles equipped with Tesla’s Autopilot 2.0 feature and self-driving sensors, also commonly referred to as “hardware 2” (HW2), will see improvements to Autosteer, lifting a previous speed cap set at 55 mph (88 mkh) to 80 mph (129 kmh). The update also adds the Auto Lane Change feature and Tesla Summon, which until now was only available on first-generation Autopilot cars. Tesla’s Lane Departure Warning feature has also been added to Autopilot 2.0 which will vibrate the steering wheel if the vehicle veers from its intended driving lane when speeds reach above 36 mph (58 kmh).

Berman doesn’t see it that way, stating that “to this day, Tesla has not released truly functional software for its Standard Safety Features or Enhanced Autopilot.”

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The suit lists out the specific issues it takes with the “missing” Standard Safety Features:

“Regarding its Standard Safety Features which include automatic emergency braking, front collision warning, side collision warning and auto high beams, Tesla told consumers these features would be available by December 2016 and ‘roll out through over-the-air software updates,’ but to date, only a dangerously defective Traffic Aware Cruise Control has actually come to fruition, according to the suit. The remaining features simply do not exist.”

In scope of the class-action lawsuit are “about 47,000 affected Model S and Model X vehicles.” The suit seeks the value of the standard safety features that do not exist in these cars plus $5,000 for the “nonfunctional Enhanced Autopilot feature” that many owners purchased as an option to their vehicle.

 

I'm passionate about clean technology, sustainability and life. I've worked in manufacturing, IT, project management and environmental...and enjoy unpacking complex topics in layman's terms. TSLA investor. Find more of my words on my website or follow me on Twitter for all the latest. Tesla Referral link: http://ts.la/kyle623

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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.

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Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan
Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan

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.

Tesla Taiwan partners with Costco to sell vehicles

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.

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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.

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Lifestyle

Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service

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Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

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?

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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.

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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.

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Concept rendering of Tesla Optimus in mass production

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.

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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.

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