News
Tesla argues human error caused fatal 2019 crash, not Autopilot: report
Tesla now faces the jury’s verdict in a trial alleging that Autopilot caused a fatality, and the trial is expected to set a precedent for future cases surrounding advanced driver assistance systems (ADAS). During closing arguments on Tuesday, an attorney for the plaintiffs pointed to an analysis Tesla conducted two years before the accident, claiming that the automaker knowingly sold the Model 3 with a safety issue related to its steering.
The trial began in California late last month after a 2019 incident in which 37-year-old Micah Lee veered off a highway outside Los Angeles at 65 miles per hour, suddenly striking a palm tree before the vehicle burst into flames. According to court documents, the crash killed Lee and injured both of his passengers, one of whom was an 8-year-old boy.
Lee’s passengers and estate initiated a civil lawsuit against Tesla, alleging that the company knew that Autopilot and its other safety systems were defective when it sold the Model 3.
Tesla has denied any liability in the accident, claiming that Lee had consumed alcohol before getting behind the wheel and saying it could not detect if Autopilot was engaged at the time of the crash.
This and other trials come as regulatory requirements for ADAS suites are just emerging, and the cases are expected to help navigate future court cases related to accidents with the systems.
According to Reuters, the attorney for the plaintiffs, Jonathan Michaels, showed the jury an internal safety analysis from Tesla in 2017 during closing arguments, in which employees identified “incorrect steering command” as a potential safety issue. Michaels said the issue involved an “excessive” steering wheel angle, arguing that Tesla was aware of related safety problems before selling the Model 3.
“They predicted this was going to happen. They knew about it. They named it,” Michaels said.
Michaels also said that Tesla created a specific protocol to deal with affected customers and that the company instructed workers to avoid accepting liability for the issue. Michaels also echoed prior arguments, saying that Tesla knew it was releasing Autopilot in an experimental state, though it needed to do so to boost market share.
“They had no regard for the loss of life,” Michaels added.
Michael Carey, Tesla’s attorney, said that the 2017 analysis wasn’t meant to identify the defect but instead was meant to help avoid any potential safety issues that could theoretically occur. Carey also said that Tesla developed a system to prevent Autopilot from making the same turn that had caused the crash.
Carey said that the subsequent development of the safety system “is a brick wall standing in the way of plaintiffs’ claim,” adding that there haven’t been any other cases where a Tesla has maneuvered the way that Lee’s did.
Instead, Carey argued to the jury that the crash’s simplest explanation was human error, asking jurors to avoid awarding damages on behalf of the severe injuries encountered by the victims.
“Empathy is a real thing, we’re not saying its not,” Carey argued. “But it does not make cars defective.”
Earlier this month, a federal judge in California ruled in Tesla’s favor in a similar case looking at whether the automaker misled consumers about its Autopilot system’s capabilities. In that case, which had the chance to become a class-action lawsuit, the judge ruled that most of the involved plaintiffs had signed an arbitration clause when purchasing the vehicle, requiring the claims to be settled outside of court.
The cases are expected to set precedents in court for future trials involving Tesla’s Autopilot and Full Self-Driving (FSD) beta systems and the degree of the automaker’s responsibility in accidents related to their engagement. Tesla is also facing additional information requests from the U.S. Department of Justice related to its Autopilot and FSD beta.
Tesla has received more requests regarding Autopilot and FSD from DOJ
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
News
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
News
Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
