News
Ford Mustang Mach-E, Tesla Model 3 to join NYPD, NYC agencies for Gov’t use
Update: The New York City Department of Citywide Administrative Services also confirmed to Teslarati that it will purchase 250 Model 3 units for the New York City fleet. The contract for the Mustang Mach-E has been finalized. The contract for Model 3 sedans is undergoing the approval process, but has not yet been finalized. This is why the Model 3s were not included in the press release.
The New York City Department of Citywide Administrative Services (DCAS) announced today that it will order 184 Ford Mustang Mach-E vehicles and 250 Tesla Model 3s to join the City’s law enforcement and emergency response teams for regular use.
The New York City DCAS only confirmed the purchase of the Mach-E vehicles in its press release. The Model 3 purchase order was confirmed to Teslarati by the NYC DCAS. It was initially reported by DriveTeslaCanada.
“Today, the New York City Department of Citywide Administrative Services announced that it is placing an order for 184 all-electric Ford Mustang Mach-E Sport Crossover Utility Vehicles for law enforcement and emergency response use,” the DCAS wrote in a press release. “The new electric crossovers, purchased as part of the City’s largest electric vehicle (EV) purchase to date, are slated for use by the New York City Police Department (NYPD), the New York City Sheriff’s Office, the Department of Correction, the Department of Parks and Recreation, the Department of Environmental Protection, NYC Emergency Management, DCAS Police, and the Office of the Chief Medical Examiner.”
Credit: @Brian4NY | Twitter
The 184 Mustang Mach-E vehicles will replace current gas-powered cars that are still used in the City’s fleet. The City expects to take delivery of all 184 units by June 30, 2022, it said.
“Smart investments in fleet electrification will help New York City break its dependence on fossil fuels, “Dawn M Pinnick, Acting Commissioner of the NYC DCAS, said. “We are working successfully toward achieving the ambitious goal of an all-electric City vehicle fleet by 2035 by taking steps to fight the climate crisis every day.”
The NYPD utilizes over 6,200 light-duty vehicles for law enforcement, which is the largest group of vehicles in the City fleet, which consists of almost 30,000 cars. It will be the largest order of all-electric plug-in vehicles in law enforcement history and will pave the way for New York City to fully electrify its fleet by 2035.
“Law enforcement vehicles are the largest and most visible part of our City’s fleet,” Keith Kerman, Deputy Commissioner for DCAS and NYC Chief Fleet Officer, said. “This order of all-electric Mach-Es will enable our law enforcement agencies to put electric models to the full test and work out maintenance, lights and sirens, charging, and other operational issues. It is a critical step towards our goal of a fully electric fleet.”
The NYC DCAS signed the contract and registered it on December 22nd. The process for finding and commissioning these vehicles was not easy, as the DCAS sought information in June 2017 for the first time regarding the City’s process of bidding for vehicles, equipment, and fuel. The City will spend $11.5 million on initial orders, and its contract with a Minority and/or women-owned business enterprise vendor will remain intact for five years.
The NYC DCAS did not immediately respond to our request for comment.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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”
