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Tesla Model 3 owner cleverly outsmarts worst thieves ever with mobile app features

(Credit: Annabelle Brett/Twitter)

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Australian radio host Annabelle Brett, who works at Mix 1-6.3 Canberra, cleverly used her Tesla mobile app to mess with the two would-be thieves who attempted to steal her Model 3.

The theft attempt started when the radio host received notifications on her phone early one morning stating that her Model 3’s alarm was triggered. After receiving the notifications, Brett went to her locked garage where she had parked her Model 3 and discovered it was missing.

Unfortunately for the would-be thieves, Brett’s Model 3 is equipped with safety features like Sentry Mode, which continuously monitors a Tesla’s surroundings when it is left unattended. Through these features, footage from the car’s suite of cameras could be retrieved.

The Tesla mobile app’s features gave Brett time to follow her Model 3’s would-be “car-nappers.” She was able to track her car through the Tesla app, unbeknownst to the would-be thieves. With the help of a friend with a vehicle, Brett was able to eventually catch up with her vehicle.

“On my car phone app, you can actually see where the car is. We noticed that it was just around the corner so without thinking, I jumped in the car called the police… and just basically followed them on the map,” she told 9 Now during an interview for A Current Affair.

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(Credit: A Current Affair)

Brett could do more than just track her Model 3 via the Tesla app, too. Tesla gives owners the ability to activate Valet Mode, heat or cool their seats, control media, flash lights or honk the horn, open/close the roof, and more through their mobile app. Brett, for her part, decided to use these features to her advantage, much to the chagrin of the would-be car-nappers.

“My phone app has the ability to slow down the car and also mess with it a bit, so I was able to put the windows down, beep the horn and basically screw with them as they were driving it,” explained Brett.

Brett’s plan worked like a charm. The thieves hurriedly left her Model 3 after being told that authorities were on the way, abandoning their attempt to steal the vehicle. It was evident Brett successfully threw the thieves off their game as one of the men literally left a driver’s license inside the Model 3. The other thief was easily identified, thanks to footage from the incident, according to Drive Tesla Canada.

The Tesla app is one aspect of the electric car maker’s ownership experience that pretty much remains unmatched in the auto industry today. Brett’s story, if any, revealed just how useful it could truly be. Interestingly enough, Brett had more tricks up her sleeve if the thieves were undeterred by her Model 3’s weird behavior.

The Tesla app also happens to allow owners to summon their car to them if they have Full Self-Driving. Tesla calls this capability “Smart Summon.” If Brett had Tesla’s FSD software, and if she were close enough, she could have easily summoned her Model 3, likely alarming the would-be thieves even more. Currently, Teslas with FSD can be summoned within 200 feet away from their owners.

Elon Musk, however, said that Smart Summon would eventually work over longer distances, even across state borders, once Tesla’s Full Self-Driving suite is complete. By then, stealing Teslas would definitely be way harder.

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Watch a fews feature on the incident in the video below.

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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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.

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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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