News
Tesla Model 3 wins hearts as famed NYC Taxi, picks up where Nissan Leaf couldn’t
Images of a Tesla Model 3 being used as a New York City taxi cab, complete with the fleet’s iconic yellow paint scheme, have started making the rounds online. The vehicle, which was sighted in Manhattan near a Tesla store, signifies what could very well be an upcoming shift towards sustainability for NYC’s taxi fleet. It also symbolizes a second chance of sorts for all-electric vehicles, especially considering the failure of the Nissan Leaf taxis in previous years.
Back in 2013, New York City launched a pilot program for all-electric taxis with a fleet of six first-gen Nissan Leafs. The vehicles were let loose in the city on Earth Day to much optimism and acclaim, but by 2015, the Leafs were decommissioned. In its final report, the NYC Taxi & Limousine Commission noted that the Nissan Leaf required drivers to significantly alter their driving habits due to the vehicles’ EPA-estimated 84-mile range. This handicap was highlighted further when the weather was hot, since the use of air conditioners was required for NYC taxis.
First Model 3 Taxi in NYC from r/teslamotors
The failure of the Leaf as a New York taxi was a cloud above all-electric cars until 2019, when reports emerged stating that the Tesla Model 3 had been approved for taxi service in the city. The all-electric sedan more than meets the minimum requirements for NYC cabs. These requirements include ample interior space, air conditioning for rear-seat passengers, seats that are easy to clean, and enough cabin space to install the clear partition that separates the driver from passengers in the backseat.
More importantly, the Model 3 does not have the same weakness as the first-gen Leafs from 2013. Unlike the 84-mile Leaf, the shortest-range Model 3 boasts at least 220 miles per charge, and that’s if customers specifically request for the non-Autopilot Standard Range version. Otherwise, the Standard Range Plus, the more affordable variant that could be ordered directly on Tesla’s website, offers an EPA-estimated range of 263 miles for $37,990. Autopilot also comes as a standard feature on variants from the Standard Range Plus and above.
Considering the power and range of the Tesla Model 3, there seems to be a good chance that the vehicle will not have the same feedback from taxi drivers as the first-gen Leafs from 2013. The Model 3, if any, would likely outperform the city’s other, conventional taxis, and its fast-charging capabilities through Tesla’s Supercharger Network would allow the vehicle to replenish most of its range while drivers take a brief break. The vehicle’s sizable cargo space from its trunk and frunk would likely be appreciated by commuters as well.
New York’s Tesla Model 3 taxi drivers would best be advised to take it easy on the all-electric sedan’s accelerator, however. Electric cars are famed for their instant torque, and the Model 3 is no exception, with even the Standard Range Plus variant having a 0-60 mph time that rivals muscle cars. If NYC taxi drivers develop a habit of punching the Model 3’s accelerator at every chance, history might end up repeating itself innumerable times. The first speeding infraction ever committed in the United States back in 1899, after all, was from a New York City cabbie who was driving 12 mph down Lexington Street in Manhattan, 4 mph above the legal speed limit at the time.
The NYC taxi driver, Jacob German, was driving a battery-electric car.
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”
