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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.
Tesla has revealed its Cybertruck light bar installation fix after a recall exposed a serious issue with the accessory.
Tesla and the National Highway Traffic Safety Administration (NHTSA) initiated a recall of 6,197 Cybertrucks back in October to resolve an issue with the Cybertruck light bar accessory. It was an issue with the adhesive that was provided by a Romanian company called Hella Romania S.R.L.
Tesla recalls 6,197 Cybertrucks for light bar adhesive issue
The issue was with the primer quality, as the recall report from the NHTSA had stated the light bar had “inadvertently attached to the windshield using the incorrect surface primer.”
Instead of trying to adhere the light bar to the Cybertruck with an adhesive, Tesla is now going to attach it with a bracketing system, which will physically mount it to the vehicle instead of relying on adhesive strips or glue.
Tesla outlines this in its new Service Bulletin, labeled SB-25-90-001, (spotted by Not a Tesla App) where it shows the light bar will be remounted more securely:
The entire process will take a few hours, but it can be completed by the Mobile Service techs, so if you have a Cybertruck that needs a light bar adjustment, it can be done without taking the vehicle to the Service Center for repair.
However, the repair will only happen if there is no delamination or damage present; then Tesla could “retrofit the service-installed optional off-road light bar accessory with a positive mechanical attachment.”
The company said it would repair the light bar at no charge to customers. The light bar issue was one that did not result in any accidents or injuries, according to the NHTSA’s report.
This was the third recall on Cybertruck this year, as one was highlighted in March for exterior trim panels detaching during operation. Another had to do with front parking lights being too bright, which was fixed with an Over-the-Air update last month.
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Tesla is already expanding its Rental program aggressively
The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.
Tesla is looking to expand its Rental Program aggressively, just weeks after the program was first spotted on its Careers website.
Earlier this month, we reported on Tesla’s intention to launch a crazy new Rental program with cheap daily rates, which would give people in various locations the opportunity to borrow a vehicle in the company’s lineup with some outrageous perks.
Along with the cheap rates that start at about $60 per day, Tesla also provides free Full Self-Driving operation and free Supercharging for the duration of the rental. There are also no limits on mileage or charging, but the terms do not allow the renter to leave the state from which they are renting.
🚨🚨 If you look up details on the Tesla Rental program on Google, you’ll see a bunch of sites saying it’s because of decreasing demand 🤣 pic.twitter.com/WlSQrDJhMg
— TESLARATI (@Teslarati) November 10, 2025
The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.
Job postings from Tesla now show it is planning to launch the Rental program in at least three new states: Texas, Tennessee, and Massachusetts.
The jobs specifically are listed as a Rental Readiness Specialist, which lists the following job description:
“The Tesla Rental Program is looking for a Rental Readiness Specialist to work on one of the most progressive vehicle brands in the world. The Rental Readiness Specialist is a key contributor to the Tesla experience by coordinating the receipt of incoming new and used vehicle inventory. This position is responsible for fleet/lot management, movement of vehicles, vehicle readiness, rental invoicing, and customer hand-off. Candidates must have a high level of accountability, and personal satisfaction in doing a great job.”
It also says that those who take the position will have to charge and clean the cars, work with clients on scheduling pickups and drop-offs, and prepare the paperwork necessary to initiate the rental.
The establishment of a Rental program is big for Tesla because it not only gives people the opportunity to experience the vehicles, but it is also a new way to rent a car.
Just as the Tesla purchasing process is more streamlined and more efficient than the traditional car-buying experience, it seems this could be less painful and a new way to borrow a car for a trip instead of using your own.
Elon Musk
Elon Musk’s xAI gains first access to Saudi supercluster with 600k Nvidia GPUs
The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.
A Saudi-backed developer is moving forward with one of the world’s largest AI data centers, and Elon Musk’s xAI will be its first customer. The project, unveiled at the U.S.–Saudi Investment Forum in Washington, D.C., is being built by Humain, a company supported by Saudi Arabia’s Public Investment Fund.
The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.
xAI secures priority access
Nvidia CEO Jensen Huang stated that the planned data center marks a major leap not just for the region but for the global AI ecosystem as a whole. Huang joked about the sheer capacity of the build, emphasizing how unusual it is for a startup to receive infrastructure of such magnitude. The facility is designed to deliver 500 megawatts of Nvidia GPU power, placing it among the world’s largest AI-focused installations, as noted in a Benzinga report.
“We worked together to get this company started and off the ground and just got an incredible customer with Elon. Could you imagine a startup company, approximately $0 billion in revenues, now going to build a data center for Elon? 500 megawatts is gigantic. This company is off the charts right away,” Huang said.
Global Chipmakers Join Multi-Vendor Buildout To Enhance Compute Diversity
While Nvidia GPUs serve as the backbone of the first phase, Humain is preparing a diversified hardware stack. AMD will supply its Instinct MI450 accelerators, which could draw up to 1 gigawatt of power by 2030 as deployments ramp. Qualcomm will also contribute AI200 and AI250 data center processors, accounting for an additional 200 megawatts of compute capacity. Cisco will support the networking and infrastructure layer, helping knit the multi-chip architecture together.
Apart from confirming that xAI will be the upcoming supercluster’s first customer, Musk also joked about the rapid scaling needed to train increasingly large AI models. He joked that a theoretical expansion one thousand times larger of the upcoming supercluster “would be 8 bazillion, trillion dollars,” highlighting the playful exaggeration he often brings to discussions around extreme compute demand.
Tesla reveals its Cybertruck light bar installation fix
Tesla is already expanding its Rental program aggressively
