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Tesla’s built-in dashcam helps identify suspect in road rage incident

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Tesla’s built-in dashcam recently helped the case of an electric car owner who was assaulted following a road rage incident at Meridian, Idaho earlier this week. The incident, which started from a simple misunderstanding on the road, resulted in the electric car owner receiving multiple blows to the head and the suspect being booked on a misdemeanor battery charge.

Len Anderson was driving home on his Tesla last Tuesday when he passed a white Hyundai sedan that was taking a left turn off E. Presidential Drive in Meridian. While the Hyundai’s driver used his blinkers to indicate that he was turning left, Anderson figured that he had right of way. As such, he opted to accelerate. This decision, as well as the speed of his car due to its instant torque, did not sit well with the Hyundai’s driver.

In a statement to local media outlet Idaho News, Anderson stated that the Hyundai driver eventually followed him home. At one point, the driver of the white sedan rolled down his window and reportedly yelled at the electric car owner.

“This guy thinks (he’s) cool zipping down the road cutting off people with his Tesla. How dare you drive like that when we have a baby in our car!” the driver said, according to Anderson.

Things only escalated from there. Anderson noted that as he was heading to his mailbox to pick up his mail, the Hyundai’s driver got out of his car and started taking footage of his house and his Tesla. The white sedan’s driver then reportedly closed in, resulting in Anderson yelling at the man to step back. With the driver just inches from his face, Anderson pushed the man away, resulting in the driver’s phone getting knocked out of his hand.

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It did not take long before Anderson was knocked to the ground by a punch from the Hyundai’s driver. The Tesla owner noted that the man hit him around 20 times in the head as he lay in a fetal position. Fortunately, Anderson was able to get a photo of the man before he was assaulted, which was later shared online by the Meridian Police Department. The suspect, who was identified as 36-year-old Walter Gage Anderson turned himself in to his probation and parole officer after. Footage from the electric car’s built-in dashcam provided further evidence in the incident. 

Reviewing the footage from the built-in dashcam of Anderson’s Tesla, a representative of Meridian PD noted that the electric car owner did not violate traffic rules when he crossed the intersection.

“He was following the correct traffic procedures. I think he may have sped up a little bit at the intersection, but he definitely had the right of way. And it’s really not even about the right of way rule. It really is about common courtesy. You don’t know who you’re dealing with in that other vehicle. No reason to try to get into a physical confrontation with anybody,” the Meridian PD representative said in a statement to KTVB-TV.

Tesla’s built-in dashcam feature was rolled out by the electric car maker to aid drivers in situations similar to those faced by Anderson. By providing footage of what transpired on the road, Tesla owners would be able to back up their side of the story in case they find themselves in an untoward situation. Such an event happened last October, when a Tesla Model 3 was involved in a nighttime accident with a Honda Accord that did not have its lights on. When authorities arrived, the Model 3 owner and the driver of the Accord provided different accounts of the incident. Fortunately, video from the electric car’s built-in dashcam quickly proved the Tesla owner’s point.

Watch a news segment featuring Anderson’s footage from his Tesla’s built-in dashcam in the video below.

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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 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.

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

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.

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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.

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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.

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Credit: Grok Imagine

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.

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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.

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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.

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UK Government, CC BY 2.0 , via Wikimedia Commons

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.

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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.”

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