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Porsche seems to be adapting elements of Tesla’s Supercharger Network for the Taycan

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There are several legacy automakers coming up with vehicles designed to compete against Tesla in the premium electric car segment. Among them, the company that appears to be putting the most effort into its EV push is Porsche, as the automaker is now setting the stage for the release of its first all-electric car — the Taycan, formerly known as the Mission E sedan.

Initially unveiled as a stunning concept car at the 2015 Frankfurt Motor Show, the Taycan instantly attracted a lot of attention and interest among electric car enthusiasts. Unlike other car manufacturers like Jaguar and its impressive I-PACE compact SUV (which does not have a dedicated charging infrastructure), Porsche is putting a lot of effort into making sure that the Taycan becomes a viable alternative to gas-powered vehicles when it gets released. One of these initiatives is the IONITY network, an ultra-fast charging solution being developed with other legacy car companies like Volkswagen and BMW.

In a recent update on its official website, Porsche revealed that it would be rolling out its own dedicated fast-charging solution for the Taycan and its other upcoming all-electric vehicles. The article, which involved an interview with Otmar Bitsche, Director of Development Electrics, Electronics, Electromobility at Porsche and Michael Kiefer, Director of High-Voltage Systems at Porsche Engineering, featured some interesting insights into the company’s efforts at developing Charging Parks, a system that does not seem very different from the Supercharger Network being utilized by Tesla.

Bitsche notes that with the current charging systems in the market, “complicated payment modalities and extremely variable energy prices is a real barrier to the acceptance of electromobility.” This creates an inefficient charging system that becomes a nuisance for electric car drivers. Kiefer described Porsche’s solution to this problem in a statement.

“Someone who wants to drive from Munich to Hamburg in an electric vehicle today needs multiple cards with which they have to authenticate themselves at the charging stations. Porsche eliminates this authentication rigmarole for customers by establishing contracts with all of the charging station operators, so the customer only needs one charging card that is accepted everywhere. And they can also count on a guaranteed electricity price that applies throughout the entire country. Customers of the Porsche charging service ultimately receive just one transparent bill from Porsche,” he said. 

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Porsche’s response to long-distance charging challenges, apart from its participation in the IONITY network, is the Charging Park. Porsche notes that the Charging Park concept is designed to make charging effortless for electric car owners, in the way that they are placed in strategic locations and are available 24/7. The legacy automaker also mentioned the ChargeBox, a charging solution that could be installed in cities and areas that could not accommodate a Charging Park. 

“We have invested a great deal of effort in the issue of user-friendliness. Our charging stations even look different than the predominant ones seen today. They aid the customer through a design that guides the cable cleanly. We’ve also designed the overall system for the lowest possible power loss. That pay-off in terms of operating costs and the potential operator of the Park stands to save a lot of money.

“We have two different variants, the Charging Park and the ChargeBox. The Park is designed for locations with more available space in which a very high volume of charges is to be expected, 24 hours a day, seven days a week. With a small compact station, however, a charging park is possible in the city as well, for example in a residential area. For all areas with extreme space constraints, there is our second variant, the ChargeBox with an integrate battery. It can be connected to the normal low-voltage grid and enables fast charging in spite of its compact dimensions.”

A concept of the IONITY charging network.

In true Porsche style, its electric cars’ charging system is designed for speed. With the Taycan, for example, the complany plans to equip the vehicle with an 800-volt battery optimized for ultra-fast charging. The Taycan could recharge at speeds of up to ~350 kW through the IONITY network and similar systems, far beyond the ~120 kW offered by Tesla’s current-generation Superchargers.

Overall, Porsche’s decision to focus on a charging network to support its upcoming electric vehicles is a strategic move that can pay off in spades. A dedicated charging system, after all, makes a big difference in the ownership experience of electric cars. Model S, X, and 3 owners, for one, would point to the Supercharger Network as one of the biggest benefits of owning a Tesla, considering that the system enables true long-distance travel. With this in mind, it is quite encouraging to see legacy automakers such as Porsche adopting a rather similar concept for their own vehicles. 

Porsche expects to start the production of the Taycan to begin sometime in 2019, though pre-orders for the vehicle could now be filed in the United States and other selected territories. Production of the electric car is expected to be held at the company’s Zuffenhausen facility in Stuttgart, Germany, where it manufactures the Porsche 911, 718 Boxster, and the 718 Cayman. The company plans to roll out 20,000 Taycans per year when the vehicle enters production.

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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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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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