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Porsche will install 500 fast chargers in USA ahead of Mission E rollout

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Porsche Cars North America has announced that it will be building a network of 500 fast chargers in the United States ahead of the upcoming all-electric Mission E rollout in 2019.

Porsche’s Mission E sedan, an electric car comparable to the Tesla Model S, is expected to reach American dealerships sometime next year, followed by the release of the Mission E Cross Turismo in 2020. Apart from these two vehicles, the German legacy carmaker is also considering the electrification of some of its most iconic brands, such as the Macan, Panamera, and the Cayenne.

In a statement to Automotive News, Porsche Cars of North America CEO Klaus Zellmer stated that the 800-volt fast chargers are designed to address the needs of Mission E owners in the region. According to the CEO, the fast charging network will aid in alleviating any range anxiety that owners of the all-electric Porsches might feel when traveling over long distances.

“If you want to buy that car, you want to know what happens if I go skiing and go further than 300 miles. What do I do? So we need to have answers for that,” Zellmer said

Zellmer noted further that there’s a good chance that the fast chargers will only be used by Mission E owners who travel beyond the vehicle’s 301-mile range. According to the executive, around 80-90% of Mission E owners will likely charge their cars at home or at while at work.

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If there is one thing that Zellmer is certain of, however, it is that the 500 fast chargers across the United States will not be free of charge, unlike Tesla’s Supercharger network, which is free to use for owners of the Model S and Model X. The Porsche Cars North America executive further stated that there would be several payment options for Mission E owners, though nothing is finalized yet at this time.

“We are pretty certain that it’s not free of charge. It’s too early to talk about how exactly that payment process for customers will work. There are various opportunities. You could buy a package all included for the car. It could be a membership card that you use. We’re not quite there yet,” the executive said.

Zellmer also told the publication that Porsche dealers in the United States could opt to build free fast-charging stations for their customers as a means to draw more traffic. The charging time for the vehicle, after all, could be a window of opportunity to engage with customers in dealership offerings. Zellmer, however, noted that dealerships who are interested in this option would have to invest in the construction of the charging stations.

“Dealership investment is not yet finalized, but it’s not a minor cost. It certainly is six-digit numbers that our dealers will have to take,” he said.

Apart from its fast-charging network in the United States, Porsche is also taking part in the construction of the Tesla Supercharger-rivalling IONITY network in Europe. Created by the Volkswagen Group, BMW Group, Daimler AG, and the Ford Motor Company, IONITY exceeds Tesla’s 120 kW Superchargers with its estimated 350 kW output, which is expected to give the Mission E up to 248 miles of range in as little as 15 minutes.

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Just like the American fast chargers, using the IONITY network will not be free of charge. According to Porsche’s deputy chairman of the executive board Lutz Meschke, the rates for the upcoming ultra-fast charging network will be comparable to the current prices of gasoline.

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’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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