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Tesla Cybertruck unveiled in Los Angeles, Nov. 21, 2019 (Photo: Arash Malek) Tesla Cybertruck unveiled in Los Angeles, Nov. 21, 2019 (Photo: Arash Malek)

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Tesla Cybertruck will have “laser blade lights” and adjusted dimensions

Tesla Cybertruck unveiled in Los Angeles, Nov. 21, 2019 (Photo: Arash Malek)

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Tesla Cybertruck’s width will be roughly 82 inches and the vehicle will come standard with upper “laser blade lights”, according to the most recent update provided by CEO Elon Musk.

Musk clarified via Twitter that the previously announced width of the upcoming all-electric truck might be too small. The Cybetruck officially measured 84 inches wide when it was unveiled in Los Angeles last November 2019, but he estimated a possible reconfiguration to around 80 inches wide to make the Cybertruck fit in typical garage setups.

The Tesla Cybertruck will also feature upper laser blade lights, the aesthetically futuristic bar of lights across the top of the truck’s windshield. While details about this feature are very limited, the laser blade lights are said to help provide the driver with better visibility, especially needed in challenging terrain or dark outback excursions. Additionally, the laser blade lights add a cool factor to the dystopian vehicle that has reportedly caught the interest of over 500,000 reservation holders since its debut.

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Elon Musk was pretty generous with Tesla Cybertruck updates Friday night. When asked if the much-awaited pickup truck’s look will generally be the same, he said that “it’s slightly better.”

This latest Cybertruck news from Musk also shows how Tesla listens to the electric vehicle community just like when Musk confirmed that owners will be able to comfortably camp in the Cybertruck’s truck bed and that it would come with a flip stop for those hauling long cargo.

Unclear is how Tesla’s electric pickup might fit in a typical residential garage in the United States. In response to Teslarati’s story on how one Youtuber used a to-scale Cybertruck AR mobile app to discover that the truck’s dimensions were too big for a home garage, Musk responded with his thoughts on how Cybertruck’s length and width can be adjusted.

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Typical two-car garages in the United States measure around 20×20, 22×22, or 24×24 feet. While these measurements are fine for the usual sedans and SUVs like the Model S, Model X and Model 3, or crossovers such as the Model Y, things can get a bit tight for mid-size utility pickups like the Tesla Cybertruck that originally measured 231.7 inches long, 84 inches wide, and 75 inches high. The parking issue is not unique to the Cybertruck as owners of Ford F-150 Supercrew and Dodge RAM pickups have reported that their trucks are often too long to fit inside their garages. With the adjusted width, the Cybertruck will fit in the same external envelope as full-size SUVs just like how Elon Musk pictures it.

The Cybertruck’s Tri-Motor and Dual Motor versions are expected to hit the production line in 2021.

Tesla Cybertruck Dimensions

  • Width: 82″ (2083 mm)
  • Height: 75″ (1905 mm)
  • Length: 225″ to 231″ (5715 mm to 5892 mm)
  • Wheelbase: 149.9″ (3807 mm)

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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SpaceX Starship Version 3 booster crumples in early testing

Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.

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Credit: SpaceX/X

SpaceX’s new Starship first-stage booster, Booster 18, suffered major damage early Friday during its first round of testing in Starbase, Texas, just one day after rolling out of the factory. 

Based on videos of the incident, the lower section of the rocket booster appeared to crumple during a pressurization test. Photos of the incident’s aftermath suggest that Booster 18 will likely be retired. 

Booster test failure

SpaceX began structural and propellant-system verification tests on Booster 18 Thursday night at the Massey’s Test Site, only a few miles from Starbase’s production facilities, as noted in an Ars Technica report. At 4:04 a.m. CT on Friday, a livestream from LabPadre Space captured the booster’s lower half experiencing a sudden destructive event around its liquid oxygen tank section. Post-incident images, shared on X by @StarshipGazer, showed notable deformation in the booster’s lower structure.

Neither SpaceX nor Elon Musk had commented as of Friday morning, but the vehicle’s condition suggests it is likely a complete loss. This is quite unfortunate, as Booster 18 is already part of the Starship V3 program, which includes design fixes and upgrades intended to improve reliability. While SpaceX maintains a rather rapid Starship production line in Starbase, Booster 18 was generally expected to validate the improvements implemented in the V3 program.

Tight deadlines

SpaceX needs Starship boosters and upper stages to begin demonstrating rapid reuse, tower catches, and early operational Starlink missions over the next two years. More critically, NASA’s Artemis program depends on an on-orbit refueling test in the second half of 2026, a requirement for the vehicle’s expected crewed lunar landing around 2028.

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While SpaceX is known for diagnosing failures quickly and returning to testing at unmatched speed, losing the newest-generation booster at the very start of its campaign highlights the immense challenge involved in scaling Starship into a reliable, high-cadence launch system. SpaceX, however, is known for getting things done quickly, so it would not be a surprise if the company manages to figure out what happened to Booster 18 in the near future.

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Tesla FSD (Supervised) is about to go on “widespread” release

In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”

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Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin. 

The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.

FSD V14.2 improvements

FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.

A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.

Elon Musk’s predicted wide release

The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”

FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles. 

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Tesla FSD V14.2 starts rolling out to initial batch of vehicles

It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.

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Credit: Grok Imagine

Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.

So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well. 

Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots. 

It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.

Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.

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Release Notes

2025.38.9.5

Currently Installed

FSD (Supervised) v14.2

Full Self-Driving (Supervised) v14.2 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 busses.
  • Improved FSD’s ability to manage system faults and 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!

Upcoming Improvements:

  • Overall smoothness and sentience
  • Parking spot selection and parking quality
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