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Porsche halts new vehicle sales in Europe to adjust to new emissions standards

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Porsche has temporarily suspended the sale of new vehicles in Europe, due to the company’s current offerings not meeting the region’s new emissions standards. Buyers using Porsche’s online vehicle configurator for Europe were prompted with a message informing visitors that due to a “pending model revision,” vehicles under the company’s lineup are not available as freely configurable cars.

The reason behind the surprising halt to Porsche’s sales lies in Europe’s new Euro 6 emissions regulations, which are scheduled to be fully enforced come September. The new standards, consisting of the Worldwide Harmonized Light Vehicle Test Procedure (WLTP) and Real Driving Emissions (RDE), were imposed by the EU last September, according to a report from German news agency Frankfurter Allgemeine Zeitung.

After the announcement of the new standards last September, regulators allowed manufacturers such as Porsche to sell cars that were certified with the 1997-era New European Driving Cycle (NEDC) for another year. These are the vehicles that Porsche is currently rushing to deliver before the September deadline. Porsche vehicles that are fully compliant with the new emissions standards, such as the Cayenne and the Panamera, are expected to be unavailable until around March 2019.

It’s not just Porsche that has been hit with Europe’s new emissions standards. According to the German publication, legacy automakers BMW and Volkswagen have also halted the sale of some of their offerings. BMW, for one, has stopped the sale of the BMW 7-Series, BMW X5, and the BMW M3. While Porsche has halted the sale of new vehicles in Europe, however, the company continues to allow buyers in North America and Asia to order and configure new cars.

Porsche has arguably begun an earnest embrace of electric car technology. Its highly anticipated Mission E sedan — a vehicle seen as a potential rival to the best-selling Tesla Model S — is expected to hit the market sometime next year. The Mission E has Tesla Model S-rivaling specs, including a 0-60 mph time of 3.5 seconds, a range of 310 miles, and a maximum speed of 155 mph.

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Just recently, a prototype of the Mission E sedan was taken around the track by former Formula One driver Mark Webber. During his brief test drive of the electric car, Webber noted that the Mission E had noticeable similarities to the Porsche 919 Hybrid, a hybrid sports-prototype racing car that he drove to compete in endurance races such as the FIA World Endurance Championship and the 24 Hours of Le Mans.

The Porsche Mission E Cross Turismo.

Porsche is not just developing one electric car, however. Earlier this year at the Geneva Motor Show, the German legacy automaker also unveiled the Mission E  Cross Turismo, a more rugged variant of its four-door sedan. During its unveiling, Porsche noted that the Mission E Cross Turismo would hit the market early next decade. 

The German automaker is also laying the foundations of a charging network for its electric cars. Dubbed the IONITY Network, Porsche’s ultra-fast chargers are designed to have an output of 350 kW, far beyond the ~140 kW max output of Tesla’s Superchargers. 

During Tesla’s Q1 2018 earnings call, however, Tesla CEO Elon Musk and CTO JB Straubel noted that Porsche’s 350 kW electric car chargers would likely “frag” the battery and not be beneficial to drivers. Thus, according to Musk, Tesla’s Supercharger V3 network would feature an output of around 200-250 kW. 

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

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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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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