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Tesla Model X frozen lake mystery gets solved, and the truth is stranger than fiction
Back in 2019, a picture of a charred Tesla Model X in the middle of a frozen lake in Vermont resulted in a lot of electric vehicle enthusiasts scratching their heads in confusion. Very few details were made public, though the police noted back then that the owner of the vehicle drove the Model X to the lake, where it supposedly struck a rock and caught fire.
The incident was pretty strange, partly because the car fully burned up without melting the ice and falling into the frozen lake. Little information was also available about the owner of the vehicle, though it was reported that no one was injured in the incident. Recently, the mysteries surrounding this peculiar Model X fire were explained, and by the Department of Justice, no less. Needless to say, the truth in this particular Model X fire was stranger than fiction.
According to the US Attorney’s Office in Vermont, the Model X was actually part of a pretty expansive scam executed by 32-year-old Michael A. Gonzalez of Colchester, Vermont. The scam involved Gonzalez acquiring Teslas by exploiting a procedure adopted by the company that allowed him to take deliveries of vehicles before his bank transfer was fully cleared.
As per a report from Seven Days, Gonzalez’s breakthrough came in September 2018, when he reserved a Tesla Model 3 that cost $58,200. To acquire the vehicle, the scammer paid Tesla a $2,500 downpayment and set up an automated payment scheme to draft the vehicle’s monthly payments. Tesla delivered the Model 3, and days later, Gonzalez’s fund transfers were rejected by the bank. The vehicle was taken around December 2018 to a used car dealership, where Gonzalez sold it for $42,500.
Fresh from his successful scam, Gonzalez decided to go for a bigger prize next: a Tesla Model X. Using the same playbook, he was able to acquire a Model X worth $144,200. Tesla delivered the vehicle, and weeks later, Gonzalez was able to sell the all-electric SUV through Craigslist for $90,000.
According to investigators, the Model X that ended up on the frozen lake was actually the third Tesla in Gonzalez’s scheme. It was a vehicle worth $152,663, the scammer’s most expensive yet. But while he was able to pick up the car in Tampa, Tesla did not provide Gonzalez with the ownership paperwork needed to register or resell the car. In response to this, Gonzalez reportedly took the car to a frozen section of Shelburne Bay, where it was later found in flames.
The gutsy Gonzalez actually filed an insurance claim for the Model X’s loss, but he never showed up for a required examination under oath where he was required to bring the electric vehicle’s certificate of ownership. Ultimately, the claim was denied.
Not to be discouraged, Gonzalez went for a fourth Tesla in March 2019, another Model X for $136,710. This time around, he used another person’s driver’s license and another address. Tesla delivered the vehicle, and it was registered with the Vermont DMV. Gonzalez then transferred the Model X’s title under his own name, claiming that he had acquired it through an “even trade” with an $8,200 2013 Kia Optima. The Model X was sold on eBay for $99,400.
Unfortunately for Gonzalez, his streak ended when he initiated his scam for the fifth time in July 2019. Tesla eventually hired a repossession company, and the vehicle was tracked to a Burlington garage. The scammer fled, though he was later arrested in February 2020 on a separate gun charge. Upon his release, he had the Tesla towed from a storage facility for what he believed was another sale. The Seabrook Police Department was not having it by this time, and they proceeded to impound the Model X.
As per the US Department of Justice, Gonzalez is currently being charged with five counts of possessing and selling stolen motor vehicles. He is ordered detained by United States Magistrate Judge Kevin J. Doyle pending a detention hearing next week, and he is at risk of facing ten years in prison for each count of possessing and selling stolen cars.
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News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
