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Tesla owner racks up $1147 in Supercharger idle fees at valet-only parking garage

Tesla Urban Supercharger in Brooklyn, NY. (Photo: RyanMNg/Reddit)

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For Tesla owner James Salantiri, his Model 3 and the valet-only Supercharger station at the William Vale Parking Garage in Brooklyn, NY are intertwined. With his apartment just 10 minutes away by foot from the parking garage, Salantiri is a regular in the business. He would drive over to William Vale, hand his vehicle over to the valets, and drive away the next day, charged and ready for the road. 

It was a system that has worked since he took delivery of his black Long Range Model 3 RWD on March 2018. Salantiri had waited long for his Model 3, having been one of the reservation holders who waited in line to put a deposit on the vehicle during the day of its unveiling. The parking garage has served him well, even when Tesla started rolling out strict Supercharger idle fees. 

Tesla initially introduced a $0.40 per minute idle fee for its Supercharger Network on December 2016 to discourage owners from keeping their vehicles connected to the high-powered charging stations even when their electric cars are fully charged. Tesla raised its idle fees on September 2018, adjusting the fees to $.50 per minute. When a charging location is fully occupied, the company’s idle fees go as high as $1.00 per minute. 

This system is particularly tricky for Tesla owners like James Salantiri, who regularly use valet-only Urban Superchargers to charge their vehicles. In a message to Teslarati, the Model 3 owner noted that William Vale’s valets would usually charge Teslas and unplug them as needed when the parking garage gets full as part of their service. At times when the parking garage is relatively empty, the valets would at times go the extra mile by plugging a vehicle overnight. 

When the electric car maker rolled out its updated Supercharger idle fees, Salantiri was informed by a Tesla representative that since the garage is valet-only, and since owners have no control when their vehicles are plugged in or taken off the Urban Superchargers at the location, any idle fees incurred at the parking garage would be waived. This setup worked well. Even when the vehicle is left plugged in overnight and large idle fees are incurred by his Model 3, Salantiri would see the charges either waived or refunded. 

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Previous idle fees at the Urban Supercharger were previously waived or refunded automatically. (Credit: James Salantiri)

Things changed recently. Upon looking at his recent bank statement, the Model 3 owner noticed two Tesla Supercharger charges to his account amounting to $1,147.16, comprised of a $171.04 charge on August 1 and a $976.12 charge on July 23. This prompted Salantiri to contact the electric car maker, where a representative reportedly informed him that a refund wasn’t possible due to the Supercharger not being on Tesla property. In the following call that was escalated to a supervisor, Salantiri was told that the recent fees could not be waived or refunded since the company’s waive/refund policy for Supercharger idle fees only covers an initial charge. Attempts to contact the parking garage’s new management about the issue were also unsuccessful. 

A look into Tesla forums such as the Tesla Motors Club shows that Salantiri’s issue was not an isolated incident. Another Tesla owner, who goes by the username choatie88, noted that he was also charged a notable idle fee at the same location since his vehicle was left to charge overnight. In a message, the Tesla owner noted that he eventually got a one-off refund once he explained the parking garage’s valet-only nature to Tesla. Unfortunately for Salantiri, his one-off refund/waive credit appears to have been used up over his regular trips to the location. 

The Model 3 owner’s recent Urban Supercharger idle fees from the valet-only parking garage. (Credit: James Salantiri)

Tesla noted in its Supercharger idle fee announcement last September that there is no upper limit on the amount of fees that a vehicle could accrue. This is absolutely fair in public charging stations where owners have full control when they could plug in and remove their vehicles from a Supercharger, but this system hits somewhat of a gray area when it comes to valet-only parking locations. It would be difficult for owners to remove their vehicles from a Supercharger, after all, if they do not have access to their cars. 

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In a message to Teslarati, Salantiri noted that it would perhaps be best for Tesla to roll out an upper limit for Supercharger idle fees, at least in locations that are valet-only. Or perhaps the electric car maker could just maintain its previous system, which automatically addresses idle fees in places where owners could not disconnect their vehicles from Superchargers. In places like the William Vale Parking Garage, which city dwellers depend on for their charging needs, perhaps Tesla could also roll out Destination Chargers instead, which are not as quick as Urban Superchargers, but do not accrue idle fees once a vehicle is fully charged.

Update:

The Model 3 owner has informed us that his vehicle’s idle fees at the William Vale Parking Garage have been waived by Tesla. A representative from the parking garage further explained that an error on Tesla’s backend caused the charge to be levied, but it has been reversed, considering that idle fees do not apply to valet-only Superchargers. 

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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