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Tesla fires back at new class-action suit that alleges “inoperative standard safety features” on Autopilot 2.0 cars
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.’”
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.”
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.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
