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Tesla owner faces winter wait as Supercharger station gets blocked en masse
Tesla Model X owner Anshuman Chhabra was in the town of Canmore in Alberta, Canada, when he experienced one of the most inconvenient and annoying things that could happen to an electric car driver. Pulling up into a Tesla Supercharger, the EV owner discovered that most of the charging stations had already been occupied–not by electric cars but by fossil fuel-powered vehicles.
Chhabra shared his experience in a tweet, where he noted that because the entire Supercharger station had been blocked by ICE cars, there was no space left for an electric vehicle to charge. The Model X owner ultimately ended up waiting 30 minutes to access an open slot in the Tesla Supercharger, and that was only because one of the cars blocking a stall moved out.
Parking violations as all charging spots were blocked at the #Tesla supercharger at @TownofCanmore. No spot for Tesla EVs to charge. Had to wait 30 mins before could find a charging spot. Action needed: @RCMPAlberta @DriveTeslaca pic.twitter.com/sSS0JdTK4Y
— Anshuman Chhabra (@anshumanchhabra) February 18, 2021
The practice of blocking electric vehicle charging stations, better known in the EV community as ICE-ing, has been going on for years. While there have been reports of Superchargers being blocked maliciously by anti-EV drivers in the past, a good number of ICE-ing incidents seem to stem from other drivers simply being unaware of the fact that they are not supposed to park at a charging stall.
Considering the Canmore Supercharger location visited by the Model X owner, this may very well have been the case. After all, the site is home to a restaurant and other businesses, which means that patrons who cannot access their designated parking slots may find Tesla’s open charging stalls attractive.
This does not excuse the practice of ICE-ing, of course. However, it does highlight the need for electric vehicle makers like Tesla to adopt some systems or contingencies that could help prevent chargers from being blocked. Tesla China is already adopting such a system, using some innovative locks that only allow access to a charging slot once a Tesla is detected. Regulations and rules from the local government help a lot, too, as they would provide a negative incentive for ICE drivers to block electric car charging stations.
Teslarati has reached out to Canmore about the incident and any local programs that may discourage ICE-ing. As per the town, the property owner or manager would have to send in a vehicle removal form if the blocked Supercharger is built on private property. Blocked Superchargers in Town of Canmore property are easier to deal with, as Tesla owners would only need to report the incident to have officers attend to the situation.
With electric cars being more prevalent, it is high time for ICE-ing practices to be heavily discouraged and anti-ICE-ing regulations to be enforced. States like Colorado have already taken significant steps towards this goal with HB19-1298, a bill that imposes penalties to drivers who occupy EV charging spots without any intention of charging their cars. These are small steps, of course, but they emphasize the idea that EVs should not be blocked from accessing public chargers. ICE-ing is the equivalent of someone blocking a gas pump and leaving, after all, and that’s something that will likely not be tolerated by drivers everywhere.
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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.”
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
