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Tesla Cybertruck’s wading depth specs and features will be as crazy as its design

(Credit: Flite Test/YouTube)

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During a recent appearance at the Third Row Podcast, Tesla CEO Elon Musk quipped that in the Cybertruck stands unique in the market for bad*ss pickup trucks. Musk explained that this is due to the Cybertruck not really being a truck, but instead, a “freaking tank from the future.” And being a tank from the future, the Cybertruck will have water wading capabilities that are a bit out of the ordinary. 

Rough and tough vehicles are expected to survive in the most unforgiving terrains. Being an off-road-capable all-electric pickup, the Cybertruck is designed to be as robust as possible. This means that the vehicle must be able to drive over water just as well as it would drive over gravel paths. Elon Musk’s recent tweets suggest that this will be the case. What’s more, the Cybertruck will even be able to float for some time when it encounters deep water. 

The Cybertruck’s capability to wade through water is an invaluable feature that will likely be a key selling point for the upcoming vehicle. As indicated in the tweet that Musk recently responded to on Twitter, some pickup truck owners love fishing, and sometimes, that requires driving over some streams. It is then necessary for the Cybertruck to wade through water without damaging any of its internals. If the Cybertruck can wade through deep waters and even float for a bit, it would outclass the usual trucks that are used by fishing enthusiasts, such as the RAM and the F-Series. 

Elon Musk’s comments about the Cybertruck being able to float for a while seems to be a reference to an incident back in 2016 that involved a Model S sedan encountering deep floodwaters in a tunnel. During the incident, the driver of the all-electric car was able to leave the area by using the Model S as a boat of sorts. Musk later noted on a tweet that while Tesla does not recommend using its vehicles like boats, its electric cars can survive in water for short periods, thanks to sensitive components like their powertrains being watertight. 

Musk’s comment definitely seems accurate, as indicated by videos of Model S and Model X wading through deep floodwaters without any issues at all. It’s also pertinent to note that the Model S and Model X are not designed for off-road water wading activities, instead being city cruisers that are most at home on paved roads. Considering Musk’s comments, one cannot help but be a bit excited to see just how well the Cybertruck — a vehicle that’s actually designed for harsh conditions — does when it encounters water. 

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The Tesla Cybertruck is a vehicle that excites Elon Musk. He admits as much, recently noting that he cannot wait until Tesla starts building the truck. Musk may not be waiting much longer though, especially since several cities across the United States have already extended generous offers to Tesla for the all-electric pickup’s production facilities. The Tesla CEO has also mentioned some refinements to the Cybertruck’s design, such as a 3% reduction in physical size that would allow the vehicle to fit in a standard American garage. 

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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Tesla owners show off improvements with new Full Self-Driving v14 rollout

Some of the big things that Tesla faced head-on with the development and release of v14 were navigating in parking garages and handling parking after arriving at a destination.

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Credit: Tesla Europe & Middle East/X

Tesla owners with access to the company’s Full Self-Driving new version, v14, which rolled out on Tuesday morning, are showcasing some of the very impressive improvements that have arrived.

CEO Elon Musk called v14 “sentient” a few weeks ahead of its rollout, claiming the newest iteration of the company’s Full Self-Driving platform would be the most accurate to date.

Tesla FSD (Supervised) V14.1 with Robotaxi-style dropoffs is here

It was obvious this narrative had Tesla owners keeping their expectations high, as there were very evidently things that needed to be improved upon that were present in v13. I wrote about several improvements I was hoping to see, and based on the release notes for v14, Tesla did have these things in the works already.

Some of the big things that Tesla faced head-on with the development and release of v14 were navigating in parking garages and handling parking after arriving at a destination.

Tesla said it was working to increase the capabilities of Summon within parking garages, as many owners believe that is where it would be the most beneficial.

While that does not appear to be part of this initial v14 rollout, it does seem Tesla is focused on improving the suite’s ability to navigate through these garages, including stopping for a ticket to enter the facility, finding a spot, and parking in an appropriate space.

It was evident this was a huge improvement based on one example from an owner who received v14:

If you look closely, you will even see the car shift slightly to the right when it arrives at the ticketing station, making it easier for the driver to hand over their ticket and payment. It then moves back out to the right when leaving to return to the center of the lane. It’s very intuitive.

Additionally, it appears to be more accurate when parking, thanks to improvements that enable owners to select the type of parking upon arrival at a destination.

In the v14.1 release notes, Tesla said that it has 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.”

One owner chose to navigate home and chose a garage to park in. Full Self-Driving performed it without any issues:

These are just two evident improvements so far, and there are likely many more on the way. The changes and fixes will be tracked by anyone with access to FSD v14 in the coming weeks.

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Tesla Optimus steals the show during TRON: ARES premiere

Now that kung-fu Optimus demonstration makes sense.

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Credit: Tesla Optimus/X

Just a few days ago, Elon Musk shared a video of Tesla Optimus demonstrating some kung fu moves with a human partner. The video was impressive, though some were confused about why the Optimus team was busying itself with what appeared to be a cool but frivolous demonstration. 

With the premiere of TRON: ARES, we now know that Optimus’ kung fu demonstration was part of the robot’s preparations for the red carpet. 

Optimus “starts a fight”

As noted by X Business on its official account on the social media platform, the TRON: ARES red carpet world premiere was a showcase of today’s AI-powered technologies. With this in mind, xAI, X, Walt Disney, and Tesla collaborated to provide attendees with an immersive experience on real-world AI. This included Optimus engaging with attendees, and even distributing theater concessions. 

But one black and red painted Optimus unit definitely stole the show. The humanoid robot, in front of several attendees, attempted to “pick a fight” with Jared Leto, who starts in the movie alongside Greta Lee, Evan Peters, and Jeff Bridges. As could be seen in the video of Optimus, the robot’s moves in the red carpet were similar to the kung fu demonstration that Elon Musk showcased last week. 

TRON: ARES

Monique Pintarelli, Head of Americas at X, shared some insights about the event, which ended up being a collaboration of sorts between several Elon Musk-led companies. 

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“This partnership with Disney lets fans and stars experience the world of TRON like never before – turning the red carpet event into a collision between the real world and AI. By leveraging X’s unparalleled real-time engagement and xAI’s cutting-edge technology alongside Tesla’s Optimus robots, we’re creating shared, immersive experiences that redefine storytelling,” the X executive noted.

TRON: ARES releases on U.S. theaters on October 10, 2025. 

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Tesla FSD (Supervised) V14.1 with Robotaxi-style dropoffs is here

This represents FSD’s most significant update in nearly a year.

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Credit: Sawyer Merritt/X

Tesla has started the rollout of Full Self-Driving (Supervised) V14.1, the advanced driver-assist system’s most significant update in nearly a year. The release introduces vision-based navigation for real-time detour handling and a new “Arrival Options” feature that simulates Robotaxi-style drop-offs.

New Tesla Vision-based features

With Version 14.1, Tesla has integrated navigation and routing directly into its vision-based neural network, enabling the system to respond to scenarios such as blocked roads or closures in real time. The update also enhances emergency vehicle detection, allowing the car to pull over or yield when police, fire, or ambulances are nearby.

Other improvements include refined responses to debris, school buses, and lane cut-ins, as well as smoother handling of unprotected turns and gated entries. The update also adds a Robotaxi-style automatic camera-cleaning system. Tesla also promises improved fault recovery for greater reliability during degraded system operation.

New Speed Profiles and other features

Drivers can now personalize FSD’s behavior more precisely through new Speed Profiles. A new “Sloth” mode has joined the lineup, offering a more conservative lane and speed selection than “Chill.” Preferences for parking and arrival positions are saved per destination, while the system’s reasoning model automatically recommends several options for each route.

Users can start FSD from a single tap, adjust settings from the central visualization, and expect fewer driver “nags,” according to Elon Musk. The CEO noted that Version 14 features a 10x higher parameter count and said it “feels sentient” compared to earlier builds. While it’s still a supervised system, unlike the Austin Robotaxi pilot, FSD 14.1 seems to be a key milestone toward the refinement of Tesla’s autonomous driving efforts.

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FSD (Supervised) V14.1 release notes

Following are the release notes for FSD (Supervised) V14.1:

FSD(Supervised) v14.1 includes:

• 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.

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• 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.

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• Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.

• 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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• You can now select an arrival option such as Parking Lot, Street, Driveway, Parking Garage and Curbside for Robotaxi-style drop offs.

• Your preferences for arrival options and preferred parking positions are persisted for each destination.

• Our reasoning model will assess the suitable options for your destination and pick an intuitive default.

Speed Profiles:

FSD (Supervised) will now determine the appropriate speed based on a mix of driver profile, speed limit, and surrounding traffic:

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• Introduced new Speed Profile SLOTH, which comes with lower speeds & more conservative lane selection than CHILL.

• Driver profile now has a stronger impact on behavior. The more assertive the profile, the higher the max speed.

• Right scroll-wheel up/down now adjusts Speed Profile setting rather than your precise max speed offset selection in mph/kph.

UI Improvements:

• Start Self-Driving with a tap of the touchscreen from Park, or any time during your drive.

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• Adjust settings like the Speed Profile and Arrival Options directly from the Autopilot visualization on the center display.

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