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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.

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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. 

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.

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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 seeks engineer to make its iOS Robotaxi app feel “magical”

It appears that Tesla is hard at work in ensuring that users of its Robotaxi service are provided with the best user experience possible.

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Credit: Grok Imagine

Tesla is hiring an iOS Engineer for its Robotaxi app team, with the job posting emphasizing the creation of polished experiences that make the service not just functional, but “magical.”

Needless to say, it appears that Tesla is hard at work in ensuring that users of its Robotaxi service are provided with the best user experience possible.

Robotaxi App features

As observed by Tesla community members, Tesla has gone live with a job listing for an iOS Engineer for its Robotaxi App. The job listing mentions the development of a “core mobile experience that enables customers to summon, track, and interact with a driverless vehicle. From requesting a ride to enabling frictionless entry, from trip planning to real-time vehicle status and media control.”

Interestingly enough, the job listing also mentioned the creation of polished experiences that make the Robotaxi more than just functional. “You will take full ownership of features—from architecture design to robust implementation—delivering delightful and polished experiences that make Robotaxi not just functional, but magical,” Tesla noted in its job listing.

Apple’s “magical” marketing

Tesla’s use of the word “magical” when referring to the Robotaxi app mirrors the marketing used by Apple for some of its key products. Apple typically uses the word when referring to products or solutions that transform complex technology into something that feels effortless, simple, and natural to daily life. Products such as the AirPods’ seamless pairing with the iPhone and FaceID’s complex yet simple-to-use security system have received Apple’s “magical” branding. 

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With this in mind, Tesla seems intent on developing a Robotaxi app that is sophisticated, but still very easy to use. Tesla already has extensive experience in this area, with the Tesla App consistently being hailed by users as one of the best in its segment. If Tesla succeeds in making the Robotaxi app worthy of its “magical” branding, then it wouldn’t be a surprise if the service sees rapid adoption even among mainstream consumers. 

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Tesla is coming to Estonia and Latvia in latest European expansion: report

Tesla seems to be accelerating its regional expansion following its recent launch in Lithuania.

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Credit: Grok Imagine

Recent reports have indicated that Tesla has taken a step toward entering the Baltic states by registering new subsidiaries in Latvia and Estonia.

Filings suggest that Tesla is accelerating its regional expansion following its recent launch in Lithuania, with service centers likely coming before full sales operations.

Official entities in Latvia and Estonia

Tesla has established two new legal entities, Tesla Latvia SIA and Tesla Estonia OÜ, both owned by Tesla International B.V., as noted in an EV Wire report. Corporate records show the Estonian entity was formed on December 16, 2025, while the Latvian subsidiary was registered earlier, on November 7.

Both entities list senior Tesla executives on their boards, including regional and finance leadership responsible for new market expansion across Europe. Importantly, the entities are registered under “repair and maintenance of motor vehicles,” rather than strictly vehicle sales. This suggests that Tesla service centers will likely be launched in both countries.

The move mirrors Tesla’s recent Baltic rollout strategy. When Tesla entered Lithuania, it first established a local entity, followed by a pop-up store within weeks and a permanent service center a few months later. It would then not be surprising if Tesla follows a similar strategy in Estonia and Latvia, and service and retail operations arrive in the first half of 2026.

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Tesla’s European push

Tesla saw a drop in sales in Europe in 2025, though the company is currently attempting to push more sales in the region by introducing its most affordable vehicles yet, the Model 3 Standard and the Model Y Standard. Both vehicles effectively lower the price of entry into the Tesla ecosystem, which may make them attractive to consumers.

Tesla is also hard at work in its efforts to get FSD approved for the region. In the fourth quarter of 2025, Tesla rolled out an FSD ride-along program in several European countries, allowing consumers to experience the capabilities of FSD firsthand. In early December, reports emerged indicating that the FSD ride-along program would be extended in several European territories until the end of March 2026. 

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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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