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Mercedes-Benz VISION EQXX has considerably more range than any EV offered currently

Der VISION EQXX zeigt, wie sich Mercedes-Benz die Zukunft des Elektroautos vorstellt. Das Auto hat eine Reichweite von mehr als 1.000 Kilometern und einen Energieverbrauch von weniger als 10 kWh pro 100 Kilometer. Der VISION EQXX steht für neue Maßstäbe hinsichtlich Energieeffizienz und Reichweite im realen Straßenverkehr sowie für die revolutionäre Entwicklung von Elektroautos. // The VISION EQXX is how Mercedes-Benz imagines the future of electric cars. The car has a range of more than 1,000 kilometres with an outstanding energy consumption of less than 10 kWh per 100 kilometres. The VISION EQXX stands for major new advances: it sets new standards in terms of energy efficiency and range in real-life traffic, and revolutionises the development of electric cars.

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German automaker Mercedes-Benz unveiled an electric car with 620 miles, or 1,000 kilometers, of range on Monday. The VISION EQXX has the potential to revolutionize electric vehicle road trips and overall adoption, offering considerably more range than any other EV on the market.

While the current projections for range are extending far past any electrified model currently offered by any company on the market, the figures were obtained by using internal digital simulations or real-life traffic conditions.

“The technology program behind the VISION EQXX will define and enable future Mercedes-Benz models and features,” Markus Schäfer, Member of the Board of Management of Daimler AG and Mercedes-Benz AG, Chief Technology Officer responsible for Development and Procurement, said. “As a halo car, the VISION EQXX firmly establishes Mercedes-Benz as the brand that pairs luxury with technology in the automotive world and beyond. And the way we developed it is as revolutionary as the vehicle itself. VISION EQXX has seen the best minds from our R&D centers work together with engineers from our Formula 1 and Formula E programs. They are proving that innovations from motorsport – where powertrains are already highly electrified – have immediate relevance for road car development. We are challenging current development processes with innovative spirit and outside-the-box thinking. This truly is the way forward.”

There is a lot to unpack in Mercedes’ lengthy press release, which features all of the fine points of the vehicle. However, the vehicle has lofty and somewhat groundbreaking expectations, even for a company that has as much story and tradition as Mercedes-Benz does. Executives have no issues looking at it as something that will undoubtedly be on the roads in the future. “All the elements that we see in this car will make it into series production,” Schäfer added.

Among the most interesting features, apart from the massive range estimation and other efficiency ratings that will put it among the “who’s who” of the EV industry, is Mercedes’ plan to utilize solar cells to supplement additional needs. The car will draw additional energy from 117 solar cells installed on the roof. Developed alongside the Fraunhofer Institute for Solar Energy Systems ISE — the largest solar energy research institute in Europe — the solar cells will reduce the energy drain on the high-voltage system. Under ideal conditions, Mercedes-Benz says, an additional 15 miles, or 25 km, will be generated from the solar cells.

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Mercedes is coming off of a huge announcement last month where it unveiled it had officially received approval for the first SAE Level 3 autonomous driving system with DRIVE PILOT. The system, which will act as a “traffic jam chauffer,” according to SAE guidelines, is the first conditionally automated driving system to meet the requirements of Global Automotive Regulation No. 157, which concerns the approval of vehicles with regards to Automated Lane-Keeping Systems.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.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.” 

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Credit: @BLKMDL3/X

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. 

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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.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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