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Tesla posts stern response to Washington Post’s article on alleged Autopilot dangers
Tesla has posted a stern response to a recent article from The Washington Post that suggested that the electric vehicle maker is putting people at risk because it allows systems like Autopilot to be deployed in areas that it was not designed for. The publication noted that it was able to identify about 40 fatal or serious crashes since 2016, and at least eight of them happened in roads where Autopilot was not designed to be used in the first place.
Overall, the Washington Post article argued that while Tesla does inform drivers that they are responsible for their vehicles while Autopilot is engaged, the company is nonetheless also at fault since it allows its driver-assist system to be deployed irresponsibly. “Even though the company has the technical ability to limit Autopilot’s availability by geography, it has taken few definitive steps to restrict use of the software,” the article read.
In its response, which was posted through its official account on X, Tesla highlighted that it is very serious about keeping both its customers and pedestrians safe. The company noted that the data is clear about the fact that systems like Autopilot, when used safety, drastically reduce the number of accidents on the road. The company also reiterated the fact that features like Traffic Aware Cruise Control are Level 2 systems, which require constant supervision from the driver.
Following is the pertinent section of Tesla’s response.
While there are many articles that do not accurately convey the nature of our safety systems, the recent Washington Post article is particularly egregious in its misstatements and lack of relevant context.
We at Tesla believe that we have a moral obligation to continue improving our already best-in-class safety systems. At the same time, we also believe it is morally indefensible not to make these systems available to a wider set of consumers, given the incontrovertible data that shows it is saving lives and preventing injury.
Regulators around the globe have a duty to protect consumers, and the Tesla team looks forward to continuing our work with them towards our common goal of eliminating as many deaths and injuries as possible on our roadways.
Below are some important facts, context and background.
Background
1. Safety metrics are emphatically stronger when Autopilot is engaged than when not engaged.
a. In the 4th quarter of 2022, we recorded one crash for every 4.85 million miles driven in which drivers were using Autopilot technology. For drivers who were not using Autopilot technology, we recorded one crash for every 1.40 million miles driven. By comparison, the most recent data available from NHTSA and FHWA (from 2021) shows that in the United States there was an automobile crash approximately every 652,000 miles.
b. The data is clear: The more automation technology offered to support the driver, the safer the driver and other road users. Anecdotes from the WaPo article come from plaintiff attorneys—cases involving significant driver misuse—and are not a substitute for rigorous analysis and billions of miles of data.
c. Recent Data continues this trend and is even more compelling. Autopilot is ~10X safer than US average and ~5X safer than a Tesla with no AP tech enabled. More detailed information will be publicly available in the near future.
2. Autopilot features, including Traffic-Aware Cruise Control and Autosteer, are SAE Level 2 driver-assist systems, meaning –
a. Whether the driver chooses to engage Autosteer or not, the driver is in control of the vehicle at all times. The driver is notified of this responsibility, consents, agrees to monitor the driving assistance, and can disengage anytime.
b. Despite the driver being responsible for control for the vehicle, Tesla has a number of additional safety measures designed to monitor that drivers engage in active driver supervision, including torque-based and camera-based monitoring. We have continued to make progress in improving these monitoring systems to reduce misuse.
c. Based on the above, among other factors, the data strongly indicates our customers are far safer by having the choice to decide when it is appropriate to engage Autopilot features. When used properly, it provides safety benefits on all road classes.
Tesla also provided some context about some of the crashes that were highlighted by The Washington Post. As per the electric vehicle maker, the incidents that the publication cited involved drivers who were not using Autopilot correctly. The publication, therefore, omitted several important facts when it was framing its narrative around Autopilot’s alleged risks, Tesla argued.
Following is the pertinent section of Tesla’s response.
The Washington Post leverages instances of driver misuse of the Autopilot driver assist feature to suggest the system is the problem. The article got it wrong, misreporting what’s actually alleged in the pending lawsuit and omitting several important facts:
1. Contrary to the Post article, the Complaint doesn’t reference complacency or Operational Design Domain.
2. Instead, the Complaint acknowledges the harms of driver inattention, misuse, and negligence.
3. Mr. Angulo and the parents of Ms. Benavides who tragically died in the crash, first sued the Tesla driver—and settled with him—before ever pursuing a claim against Tesla.
4. The Benavides lawsuit alleges the Tesla driver “carelessly and/or recklessly” “drove through the intersection…ignoring the controlling stop sign and traffic signal.”
5. The Tesla driver didn’t blame Tesla, didn’t sue Tesla, didn’t try to get Tesla to pay on his behalf. He took responsibility.
6. The Post had the driver’s statements to police and reports that he said he was “driving on cruise.” They omit that he also admitted to police “I expect to be the driver and be responsible for this.”
7. The driver later testified in the litigation he knew Autopilot didn’t make the car self-driving and he was the driver, contrary to the Post and Angulo claims that he was mislead, over-reliant or complacent. He readily and repeatedly admitted:
a. “I was highly aware that was still my responsibility to operate the vehicle safely.”
b. He agreed it was his “responsibility as the driver of the vehicle, even with Autopilot activated, to drive safely and be in control of the vehicle at all times.”
c. “I would say specifically I was aware that the car was my responsibility. I didn’t read all these statements and passages, but I’m aware the car was my responsibility.”
8. The Post also failed to disclose that Autopilot restricted the vehicle’s speed to 45 mph (the speed limit) based on the road type, but the driver was pressing the accelerator to maintain 60 mph when he ran the stop sign and caused the crash. The car displayed an alert to the driver that, because he was overriding Autopilot with the accelerator, “Cruise control will not brake.”
While there are many articles that do not accurately convey the nature of our safety systems, the recent Washington Post article is particularly egregious in its misstatements and lack of relevant context.
We at Tesla believe that we have a moral obligation to continue…
— Tesla (@Tesla) December 12, 2023
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Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
