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Tesla confirms multiple registered Cybertrucks in Europe
Another Tesla Cybertruck has been registered in Europe, as was confirmed over the weekend by one of the company’s engineers for the unique electric vehicle (EV).
On Sunday, Tesla’s Lead Cybertruck Engineer Wes Morrill reposted an image on X of a Cybertruck driving in the Netherlands with a European license plate. The photo, which was originally posted by X user Dénis van Vliet on Saturday, shows the Cybertruck driving on a freeway in Eindhoven, though he also notes that the EV has an Albanian license plate.
“First Cybertruck registered in EU, driving in Netherlands? Someone was bound to figure it out eventually,” Morrill wrote.
Credit: Dénis van Vliet | X
READ MORE ON THE TESLA CYBERTRUCK: Tesla Cybertruck spotted at BYD facility in China
When implicitly asked by another user how European buyers could somehow get Cybertrucks registered, Morill responded by saying, “Make friends.”
Morrill also shared an update later in the afternoon, saying that he had missed the previously registered Cybertrucks, effectively confirming that those had also been fully registered.
Upon further inspection, van Vliet confirmed that the Cybertruck is owned by rapper Kosso, who recently talked about purchasing the car is Oisterwijk, though he was considering getting plates from either the Czech Republic or Albania. On Sunday, the vehicle was seen again in Lanaken, Belgium in a story from Nieuwsblad that confirmed that it is Kosso’s Cybertruck.
Tesla Cybertrucks that were previously reported to be registered in the EU
The news follows a few other reports this year that some Cybertrucks had been registered in the European Union (EU). Most recently, a France-based Tesla Advisor reported that the first Cybertruck had been registered in the Czech Republic, though he did not disclose to Teslarati how exactly the vehicle had managed to gain registration.
During Tesla’s Annual Shareholder Meeting in June, Elon Musk said that the company may be able to certify the Cybertruck for markets outside of North America in 2025, though it would be “for sure just North America” this year. He has also hinted at the potential for a version of the Cybertruck developed specifically for European and Chinese markets, while many have expressed doubts around the EV’s ability to meet certain pedestrian safety regulations in the past.
In an interview with Top Gear last December, for example, Tesla Vice President of Vehicle Engineering Lars Moravy cast some doubt on the Cybertruck’s ability to be eligible for registration in Europe, largely due to its protruding edges.
“One, the truck market in the U.S. is huge and two, European regulations call for a 3.2mm external radius on external projections,” Moravy said. “Unfortunately, it’s impossible to make a 3.2mm radius on a 1.4mm sheet of stainless steel.”
Despite this, Tesla has also made its ambitions to bring the Cybertruck to other countries clear through worldwide display tours of the vehicle, showing it off in several Asian and European countries throughout much of the year. The company first announced plans to bring the Cybertruck to the United Kingdom and parts of Europe in April, after previously displaying the vehicle in China, Japan, and other parts of Asia.
Tesla also brought the Cybertruck to its Gigafactory Berlin in March as a display, though these and others in its world tour didn’t seem to be registered units. Cybertrucks being registered in Europe have been rumored since around this time this year, though they likely have been imported by the buyers after being purchased in North America.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
