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Tesla owners share first insights into Cybertruck FSD performance

Credit: @BLKMDL3/X

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The Tesla AI team successfully rolled out FSD (Supervised) for the Cybertruck this weekend. While the system has mostly been released to company employees and early access testers, the first videos of FSD (Supervised) V12.5.5 on the Cybertruck are starting to get shared online. Based on comments from Cybertruck owners so far, it would appear that FSD (Supervised) is working fairly well on the all-electric pickup truck. 

Tesla Director of Autopilot Software Ashok Elluswamy noted in a post on social media platform X that the Cybertruck is the first Tesla to receive end-to-end highway driving. Release notes shared online also revealed that the Cybertruck’s FSD came with vision-based attention monitoring with sunglasses. 

Among the Tesla community members whose Cybertrucks received the FSD (Supervised) update are longtime Full Self-Driving testers Whole Mars Catalog and Dirty Tesla, both of whom have been testing the advanced driver-assist system for years. Based on the two FSD veterans, it appears that the Cybertruck’s FSD (Supervised) system features a number of interesting characteristics. 

During a drive from Beverly Hills to Santa Monica in California, longtime FSD tester Whole Mars Catalog observed that the Cybertruck’s FSD system behaved just like FSD in Tesla’s other vehicles, though it needs more tuning for the larger size of the all-electric pickup truck. The Cybertruck owner also noted that FSD (Supervised) was able to make tight lane changes properly, but the system does not work in trailer mode yet. 

Fellow Tesla owner @BLKMDL3, who was with the longtime FSD tester during the Cybertruck FSD (Supervised) drive, observed that the visuals on the vehicle’s infotainment display were extremely smooth. He also noted that the Cybertruck’s FSD system displayed some smooth turning and breaking behaviors. The vehicle, however, reportedly moved a bit slow on the highway, and there were some quirks that needed ironing out.

FSD veteran Dirty Tesla, for his part, opted to test the Cybertruck’s FSD (Supervised) system during a nighttime drive in Michigan. The Tesla owner observed that corrections using the Cybertruck’s steer-by-wire system were very natural and smooth. He also observed that the vehicle was able to stay in lane, perform lane changes, and exit the highway fairly well. The vehicle, however, did require a few interventions during the drive.

Overall, the Tesla Cybertruck’s FSD (Supervised) system seems to be a pretty solid update to the all-electric pickup truck, though it is understandable that it is still only being released to early access testers. Considering how good this initial FSD (Supervised) version is on the Cybertruck, however, it would be very exciting to see just how much better the vehicle’s advanced driver-assist system could get in the coming months. 

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Check out Dirty Tesla’s Cybertruck FSD (Supervised) test in the video below. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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

Elon Musk explains what happens when AI outsmarts all of us

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Elon Musk told The Economist that artificial intelligence will likely surpass the combined intelligence of every human on Earth within about five years, and that humans may not remain in charge once that happens. In a wide-ranging interview with editor-in-chief Zanny Minton Beddoes, recorded at Giga Texas for the outlet’s Insider series, Musk compared the widening gap between AI and human intelligence to the gap between humans and chimpanzees.

“It’s hard to imagine that the chimpanzee would be in charge,” he said, addressing what happens to human authority once AI moves far beyond us.

Elon Musk reiterates his most optimistic prediction yet with “UHI” forecast

Musk’s timeline stretches out from there. Five years for AI to out-think humanity combined, ten years before humans lose meaningful control, and by 2036, he says, money itself may stop mattering.

Musk notes that if robots and AI produce more goods and services than people could ever consume, currency loses its purpose. He told Beddoes that governments could respond with direct payments, what he called “universal high income,” a term he first used in an X post last August describing a future where “everyone will have the best medical care, food, home, transport and everything else.”

He also floated a more surprising prediction that deflation, and not inflation, would become the bigger economic problem, since expanding the supply of goods and services faster than the money supply grows would push prices down rather than up.

None of this is new territory for Musk, who has spent years describing an “age of abundance” built on Optimus and autonomous vehicles. What’s notable is the timing. The interview landed the same week Tesla shares dropped roughly 19 percent following a second quarter earnings report that beat on revenue but missed badly on profit, and as SpaceX stock continues to slide from its post-IPO peak.

Musk’s own net worth has fallen close to $700 billion since mid-June, according to the Bloomberg Billionaires Index, even as he describes a future where personal wealth stops being the point.
Musk did not dodge the risk side of the equation either. He put the odds of AI contributing to human extinction somewhere in the 10 to 20 percent range, then arrived at what he called his “philosophical conclusion” since the technology cannot realistically be stopped and the arguably better response is to keep building it and hope the outcome leans toward abundance rather than catastrophe. “I’ve gone from exhilaration to terror regarding AI,” he told Beddoes, “even intraday.”

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Elon Musk

Tesla adds new ‘Traction Control Modes’ for better handling in any conditions

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Credit: Tesla

Tesla is adding a new “Traction Control Modes” feature to its cars for better handling in any conditions. These features will roll out to the Model 3 and Model Y, the two vehicles in Tesla’s lineup that typically do not have drive modes for various conditions.

Tesla did include this in the Model S and Model X, as well as the Cybertruck.

The new feature will roll out with the 2026 Summer Update, which Tesla announced last week and subsequently started rolling out to some owners today. The Summer Update is the latest iteration of the usual four seasonal releases the company rolls out throughout the year. These releases typically feature some owner-requested features, as well as improvements to things like the Full Self-Driving suite.

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

This release is no different. Among the changes are improvements to Navigation, new customization options with wraps and how they can be shared and stored, more functionality with the Tesla smartphone app, and new gamification with self-driving.

However, Tesla announced today that it was adding another feature to the Summer Update. Traction Control Modes will now be available with the release

Tesla describes them:

“Choose from three updated Traction Control Modes: Auto for normal driving conditions, Slippery Surface for icy or wet roads, Stuck Assist when stuck in snow, mud, or sand. The mode resets to Auto at the start of each drive. To select, go to Controls > Dynamics > Traction Control Mode.”

The use of these modes will help improve a Tesla’s overall performance in less-than-ideal conditions. Typically, these traction control modes monitor wheel speed through sensors and track engine power to adjust responsiveness in various conditions.

These drive modes are not an ultimate solution to all driving conditions; just because there is a “Stuck Assist,” doesn’t mean your Tesla will dig itself out of a foot-and-a-half trench during a blizzard. It is important to remember that some of these scenarios also require some assistance from the driver. For example, driving in sand requires tires to be aired down significantly to increase traction and control.

However, this will be a welcome addition for those who use the Full Self-Driving suite and might not be convinced of its performance in adverse conditions. Some of us prefer to be in control in rain, snow, or ice, which is totally understandable. However, adjusting the Traction Control Mode while utilizing FSD in snow, rain, or ice could increase confidence and overall experience.

Tesla’s Summer Update is already rolling out to some owners, so it should be making its way to most of the fleet over the next several weeks. The Spring Update rolled out at a very conservative pace, so if you don’t have it by the end of August, don’t be too upset. It might just be Tesla’s method.

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Elon Musk

SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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