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Cars & Coffee group keeps Tesla Supercharger free after mass blocking incident
After its members were called out for blocking a Tesla Supercharger en masse last Sunday, the Cars & Coffee Yorktown, NY group has made sure that its next regular meetup will be free of any untoward incidents. The result of these efforts was a Supercharger that was free to use by any Tesla owners in need and a Cars & Coffee session that welcomed a member of the electric car community.
The Cars & Coffee Yorktown, NY group caught the ire of the Tesla and electric car community last week after images emerged online showing a group of its members parking their muscle cars and other high-performance vehicles in a Supercharger, effectively blocking access to all of the station’s stalls. The incident resulted in strong reactions among EV enthusiasts online, especially after it became evident that the organizers of the meetup had posted a request to its members to not block the Supercharger before the Cars & Coffee session.
With images of the mass-blocked Superchargers spreading online, the organizers of the auto enthusiast group explained that they would work harder to ensure that such incidents will not happen again. If photos taken of the Supercharger this past Sunday are any indication, it appears that Cars & Coffee Yorktown, NY stayed true to their word, keeping the charging station’s stalls free of parked vehicles during the duration of its most recent meetup.
Tesla Model 3 owner Benswing Rich, who wanted to check out the location following the previous week’s incident, posted several images of the ICE-free Supercharger. Cones clearly marked “Tesla Only” appear to have been placed by the auto enthusiasts as well, to further emphasize that the spaces in the charging station were only intended for Teslas. The Tesla owner shared his observations on a Tesla Model 3-themed Facebook group.
“Cars & Coffee in Yorktown NY, where a bunch of people blocked the Superchargers last weekend, has put cones to signify the Superchargers are for Tesla owners only. I met the organizer and he is a good guy. He loves cars including Teslas. Please share!” he wrote.
An update from the Cars & Coffee organizers revealed that the Tesla Model 3 owner actually ended up being encouraged to attend the group’s next meetups. The organizers added that the group’s members learned more about Teslas from the Model 3 owner, though they maintained that the anti-EV allegations thrown at the Cars & Coffee group the previous week were false.
“We had a nice turnout today at C&C. We met a great Tesla owner Ben Rich who was spurred to come to C&C due to the social media ruckus of this past week. He saw that what was being said by many folks in the Tesla community (most that live nowhere near here) portraying us as EV/Tesla haters were false. As you can see pictured, we made sure to block off all the Tesla charging spots for the C&C time period to avoid issues experienced last week. We learned a lot about Teslas from Ben and had an all-around great morning,” the organizers wrote.
Ultimately, credit is due to the organizers of Cars & Coffee Yorktown, NY for stepping up and staying true to its word. While the previous week’s incident was unfortunate, the group appears to be showing some real effort to ensure that such a thing does not happen again. Perhaps more Teslas could be part of the group in the future? If the Tesla Model 3 owner’s update is any indication, that seems to be a real possibility. Real car enthusiasts recognize and respect great vehicles, after all, electric or otherwise.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
