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Tesla owner, ACLU win injunction against DMV in ‘offensive’ vanity plate dispute
A Tesla Model 3 owner won a preliminary injunction on Friday against the Rhode Island DMV in a dispute involving the use of a vanity plate displaying the message “FKGAS.” In response to an anonymous complaint earlier this year, the agency belatedly determined the messaging was offensive and that the plate must be returned. However, a lawsuit was filed in partnership with the state’s American Civil Liberties Union (ACLU) branch contesting the decision on constitutional grounds.
The “very essence of vanity plates is personal expression,” wrote U.S. District Judge Mary McElroy in the decision granting the injunction, agreeing that the lawsuit’s case was likely to succeed on the merits. “The revocation of the license plate, which would prohibit Mr. Carroll from expressing his views on fossil fuel propulsion of motor vehicles, would stifle him in an irreparable way.” The judge also suggested the overall authority of DMVs to reject “offensive” vanity plates was unconstitutional, according to a report on the case in the publication The Providence Journal.
This initial victory ensures that the owner, Sean Carroll, may continue displaying the vanity tag until a full case decision is made. “I am thrilled with Judge McElroy’s decision on my First Amendment right allowing me to express my views through my vanity plate,” Carroll said in a statement published by the Rhode Island ACLU. The Model 3 owner also acknowledged that, while the plate’s full translation was intended as “fake gas,” it could also be perceived as conveying the message “fuck gas,” a meaning he supported as well.
In a significant decision for free speech advocates and vanity plate enthusiasts alike, a federal judge said a Scituate man can keep the "FKGAS" plate on his Tesla for now. The RI DMV has tried to cancel it. https://t.co/WEogyg9EGZ
— Brian Amaral (@bamaral44) October 4, 2020
In the lawsuit, Carroll’s motivation for obtaining the vanity plate was “because he wished to convey, through the license plate, a personal philosophical and political message concerning his views about gasoline-powered automobiles and the environment.” He previously explained that the idea came after a conversation with his daughter during which he described how the all-electric vehicle was powered by their home’s solar panels. His daughter remarked that the car runs on “fake gas,” and thereby the “FKGAS” vanity plate was born.
“‘FKGAS’ is my personal statement challenging everyone to look at the world differently. Gas isn’t the only option when it comes to powering your vehicle,” Carroll said in a statement to The Providence Journal. “My choice for a vanity plate has already brought more attention to alternative fuel sources and electric vehicles.”
As another important part of Carroll’s case, the DMV already issued the Model 3’s plate twice before deciding to recall it, citing “inappropriate language.” The Tesla owner had driven with the message on his vehicle for at least five months before the agency reneged in response to an anonymous complaint. A key point of the arguments of the case filed with the ACLU was the arbitrary nature of the DMVs decision making process on vanity plates, ultimately pitting those decisions against first amendment protections such as Carroll’s views.
“[T]he DMV has prohibited such combinations as AIDS, CHRIST, GAY, JESUS, LESBIAN, REDNECK and YANKEE. But it has issued plates that read CHRIST, JEWISH, REDNEC, and REDNEK. It has prohibited words that are typically denigrating, such as CHUBBY and SLOB, but allowed FATT and OLDFRT,” Judge McElroy detailed in her decision.
The full lawsuit will be reviewed and decided in the coming months.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
