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Consumer Reports urges Tesla to disable Autopilot steering

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Tesla in autonomous mode

Consumer Reports has publicly called on Tesla to disable the automatic steering portion of Autopilot in the wake of the fatal accident that took the like of Joshua Brown. Tesla’s Autopilot allows the vehicle to automatically steer, accelerate and brake when navigating highways with lane markings. It should be deactivated “until it can be reprogrammed to require drivers to keep their hands on the steering wheel,” says the consumer watchdog organization.

The editors of Consumer Reports say the name Autopilot is “misleading and potentially dangerous.” They want Tesla to block its automatic steering technology, overhaul it, and rename it. Laura MacCleery, vice president of consumer policy and mobilization for Consumer Reports, said in a statement that self-driving systems “could make our roads safer” eventually, “but today, we’re deeply concerned that consumers are being sold a pile of promises about unproven technology.”

That’s quite a reversal for an organization that tested a Tesla with Autopilot last October and reported that is “worked quite well,” given its limitations.

Tesla and Elon Musk are sticking to their guns. “Tesla is constantly introducing enhancements proven over millions of miles of internal testing to ensure that drivers supported by Autopilot remain safer than those operating without assistance,” Tesla said in a statement on July 14. “We will continue to develop, validate, and release those enhancements as the technology grows. While we appreciate well meaning advice from any individual or group, we make our decisions on the basis of real world data, not speculation by media.”

At issue are the length of time the car will continue to drive in semi-autonomous mode even when the system detects no hand on the wheel and how the system alerts drivers that it is time for them to resume direct control of the car. In a recent crash involving a Model X driving on a twisty road in Montana, the company says there was no hand on the wheel for more than 2 minutes. The car was traveling at 60 miles an hour, which means it went more than  2 miles with no human input. The driver says he was unaware the car was directing him to take control because his native language is Mandarin, not English.

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Also, some drivers report they were unaware the system had handed back control to them, leaving them responsible for driving the car. Ambiguity is not in anyone’s best interests when it comes to driving a motor vehicle.

“Tesla Autopilot functions like the systems that airplane pilots use when conditions are clear,” Tesla said. “The driver is still responsible for, and ultimately in control of, the car. This is enforced with onboard monitoring and alerts. To further ensure drivers remain aware of what the car does and does not see, Tesla Autopilot also provides intuitive access to the information the car is using to inform its actions.” Some drivers feel that “intuitive access” is less successful that it could be. That’s an area that Tesla could address fairly easily by making warnings clearer and less ambiguous.

Consumer Reports’ suggestion seems more than a little over the top. Still, Tesla has to tread carefully here. Rumor and innuendo can have a strongly negative effect on consumer opinions. Some people may remember the maelstrom surrounding the Audi 5000 sudden unintended acceleration situation that happened some time ago. 60 Minutes got involved and people started calling it a “death car.” Audi sales plummeted and it almost went out of business.

There are hundreds of thousands of motor vehicle accidents every year on America’s roads. Few ever garner any media attention. Why is this one crash causing such a commotion? “If it bleeds, it leads,” is a popular expression it the news business and the media have been quick to make a cause célèbre out of Brown’s death.

Elon is not easily dissuaded from his chosen course. But there is ample evidence to suggest that human drivers are not as alert and tech savvy as perhaps the company assumes they are. The trick is to satisfy any safety concerns without stripping the Autopilot system of its life saving features. Ultimately, the question comes down to whether the death of one driver should be an excuse for failing to protect hundreds if not thousands of other drivers from injury or death.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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