News
Tesla Model Y taxi service might be required to buy gas cars before it can deploy EV fleet
Revel, a startup that unveiled its plans to launch a Tesla Model Y-based rideshare service in New York back in April, recently met a rather bizarre roadblock — one that could result in the company actually buying 50 gas cars before it could deploy its EV fleet.
The aspiring Model Y taxi service expected to win approval for its operations in the city because a 2018 cap on new rideshare and taxi vehicles included exemptions for electric vehicles, as well as cars that are accessible to handicapped individuals. The TLC later noted that it was pondering the elimination of the EV exemption, citing traffic concerns and congestion.
On Monday, June 21, the New York TLC issued a notice stating that it had voted to stop issuing new for-hire licenses for electric vehicles. There was a catch to the TLC’s notice, however, as the commission noted that “A public hearing was held virtually by the TLC and the rule was adopted by the Commission at the June 22, 2021 Commission meeting.”
That’s right. The New York TLC posted a notice stating that it had made a decision in a meeting that has not happened yet.
Allan Fromberg, a spokesperson for the New York TLC, simply noted that posting a final version of a planned rule change online is required by the City Administrative Procedure Act. He also dismissed concerns that the commission had already made a decision, citing issues about the past tense used in the notice as a “red herring.”
Interestingly enough, New York TLC Chair Aloysee Heredia Jarmoszuk, during an interview with the New York Post last week, stated that the agency would not bar Revel of any similar companies from entering the rideshare market in the city. She also stated that if Revel does face an unfavorable ruling, the aspiring Model Y taxi service could still launch its EV taxis if it bought 50 gas-powered vehicles, took them out of service, and replaced them with Teslas instead.
“Just because a car is electric doesn’t mean that adding more cars and more congestion is good for the environment. This is a simple math issue. This is not about targeting a group or saying you can’t enter the marketplace or we don’t like you,” she said.
Revel CEO Frank Reig, however, expressed his disapproval of such a suggestion. In a statement to the media outlet, Reig noted that requiring Revel to purchase gas cars to launch an electric taxi fleet would be the “very definition of limiting market competition.” He also stated that he is confident the company’s Model Y taxis would hit New York’s streets.
“We are going to be on the streets because we know the law is completely on our side. Never in Revel’s history have we operated illegally,” he said.
It’s not just the Revel CEO who has expressed his reservations about the TLC’s notice. Arthur Goldstein, a former city council legal staffer, remarked that the commission’s use of past tense for a meeting that’s yet to happen “makes no sense.” If they’re using a phrase like ‘was adopted’ and it’s being published today, it is just not accurate. Anyone reading it would think, ‘This is a done deal. Why should I even put forth an argument to change it?’” he said.
Bruce Schaller, a transportation expert and former staffer at the TLC and Department of Transportation, had similar misgivings, noting that the TLC’s notice was simply bad optics. “It looks bad. They should not finalize the rule until they’ve had the hearing and heard from the public. It makes you very suspicious. You just intuit that there’s a rationale behind this that’s been kept invisible and you don’t know what it is,” he said.
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Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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.
News
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.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
