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Tesla Superchargers to double in Wawa outlets by the end of 2020

A Tesla Model 3 at a Wawa outlet Supercharger. (Photo: Tesla Owners Florida)

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A recent report has emerged stating that US-based convenience store chain Wawa is looking to double the number of Tesla Superchargers in its outlets by the end of 2020. The update comes amidst Wawa’s ongoing initiatives to support Tesla’s proprietary charging network, which are already deployed in a number of stores across the United States today. 

In a statement to The Philadelphia Inquirer, Wawa spokesperson Lori Bruce noted that the convenience store chain currently has 16 stores with Tesla Superchargers. A new store in Maple Shade, just off 295 and the New Jersey Turnpike, is expected to have eight Tesla Superchargers once it opens this December. 

Wawa’s adoption and the chain’s support of Tesla’s Supercharger network began in August 2017. The convenience store chain has mostly supported the installation of Tesla’s proprietary Superchargers, which are not compatible with other EVs such as the Nissan Leaf, save for one outlet located outside the Philadelphia region, which is equipped with an Electrify America charger. 

Addressing the Inquirer, the Wawa spokesperson added that the company’s ramp of Supercharger installations comes amidst requests from Tesla owners. This could bode well for Wawa, especially since the demand for Tesla’s electric cars appears to be increasing. Propelled by the more affordable Model 3, which starts below $40,000, Teslas continue to be more prolific in the United States. In the second quarter alone, Tesla delivered over 95,000 vehicles worldwide, setting new records for the company. 

Particularly interesting is the type of Superchargers that will be installed in Wawa’s outlets. Tesla has introduced its next-generation Superchargers, which have a maximum power output of 250 kW or 1,000 miles per hour. With the V3 network, a Long Range Model 3 at peak efficiency could recharge up to 75 miles in 5 minutes. Tesla has started launching the Supercharger V3 network in key areas, including the Las Vegas Strip, which debuted a 39-charger (comprised of 24 V3 stalls and 15 additional level-two Tesla Wall Connectors) last month. 

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Tesla intends to roll out its Supercharger V3 network aggressively in the near future, which would likely result in some Wawa outlets being installed with V3 chargers. This could ultimately bode well for the convenience store chain, as Tesla owners would most likely prefer to stop by the V3-equipped outlets during long trips.  

It should be noted that Wawa is not the only business that is embracing the electric car transition. Apart from the convenience store chain, Royal Farms, a Wawa competitor, also has EV charging stations installed in some of its outlets. Nevertheless, Wawa’s plans to expand its Supercharger support has been received warmly by the Tesla community. Longtime Tesla owner Vivianna Van Deerlin, for one, has noted that the EV charging stations will blend very well with Wawa’s business.  

“Superchargers offer a great utility when you’re traveling away from home. When you do stop, it takes about 10 or 15 minutes to charge. So it’s great to have a location that offers food, a bathroom, coffee, and even windshield cleaner fluid. Wawa is ideal,” she said.

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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