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Tesla posts stern response to Washington Post’s article on alleged Autopilot dangers

(Credit: Tesla)

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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. 

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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.

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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.

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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:

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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.

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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.”

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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.”


Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence

The Tesla CEO shared his recent insights in a post on social media platform X.

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Credit: Tesla

Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk. 

The Tesla CEO shared his recent insights in a post on social media platform X.

Musk details AI chip roadmap

In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle. 

He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.

Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.

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AI5 manufacturing takes shape

Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.

Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.

Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.

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Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025

According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.

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Credit: ANCAP

The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.

According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.

The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring. 

This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.

The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.  

ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.

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“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.

“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.

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