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Calling all Tesla Supercharger abusers: Don’t ruin it for the rest of us
Full house at newly opened Santa Ana, Calif. Supercharger [Credit: achen]
Model S owner and French entrepreneur, Loic Le Meur, reached out to Elon Musk on Twitter yesterday to bring to light something Tesla and its driver have been struggling to curtail – Supercharger abuse. In this particular instance, Le Meur reports abuse taking place at the popular San Mateo Supercharger station in Silicon Valley, which apparently has become home to an increasing number of Tesla owners that use Supercharger stalls as parking spaces, without charging.
Musk quickly replied back with acknowledgement of the growing “issue”, further adding that Tesla “will take action”.
You're right, this is becoming an issue. Supercharger spots are meant for charging, not parking. Will take action.
— Elon Musk (@elonmusk) December 11, 2016
California has more electric cars than any other US state with Silicon Valley leading the way in terms of EV density. According to the Center for Sustainable Energy, 7 out of every 1000 cars registered in the tech. hub area are electric so it’s not surprising the often crowded Supercharger facility in San Mateo is heavily utilized.
What can Tesla do about Supercharger abuse?
What sort of action might Elon have in mind? Tesla could begin with friendly persuasion, a tactic the company adopted 18 months ago when it sent an e-mail to Model S owners identified by the company as abusing their Supercharger privileges. “The Supercharger Network’s intent remains to expand and enhance your long distance travel while providing the flexibility for occasional needed use during local trips. Our goal is to provide the best charging experience, keeping charge times low to get you back on the road as quickly as possible. As a frequent user of local Superchargers, we ask that you decrease your local Supercharging and promptly move your Model S once charging is complete….”
Line for charging at the Tejon Ranch Supercharger [Credit: EVA_2015]
In June, Electric Jen proposed five strategies for alleviating Supercharger congestion, including dedicated express chargers with clear time limits, valet services, publishing peak usage times so people could plan their charging times more efficiently, upgrading the Tesla in-car navigation program to notify others when a car is waiting to charge, or simply building more Superchargers. With regard to that last point, Tesla is aggressively adding to the number of Supercharger locations both in the US and around the world as it prepares for the the time when production of the Model 3 begins.
Tesla has already begun staffing valet attendants at the busy San Mateo Supercharger during known busy travel weekends. They enforce a 30-minute stay time while charging. Though this approach isn’t necessarily scalable, the company can just as easily enforce a time limit for free charging. After 30-minutes of being plugged in or once the vehicle has reached a 90-100% state of charge, the vehicle owner would incur a time-based or flat rate fee.
Being billed for Supercharger use via ‘credits’ is something that the company is already planning for and could extend to preventing Supercharger abuse. “For Teslas ordered after January 1, 2017, 400 kWh of free Supercharging credits (roughly 1,000 miles) will be included annually so that all owners can continue to enjoy free Supercharging during travel. Beyond that, there will be a small fee to Supercharge which will be charged incrementally and cost less than the price of filling up a comparable gas car. All cars will continue to come standard with the onboard hardware required for Supercharging.”, said Tesla through its blog post.
Also, as Tesla’s Full Self-Driving Capability begins to take shape, the company could automatically disconnect any car that has more than a 90% charge using its automated snake-bot charging system and have the vehicle drive itself to an open parking space.
While we wait on Tesla to come up with a means to deter Supercharger abuse, we’re making this open call to all existing abusers: Don’t be an EVhole and ruin it for the rest of us.
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.”
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.
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.
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.
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
