News
Tesla combats Uber, Lyft congestion in New York City with Supercharger Congestion Fees
Tesla is combatting Uber and Lyft congestion at its Superchargers in New York City with Supercharger fees after the ride-sharing services have backed up EV chargers.
This week, it appears the Superchargers are more congested than normal, and it could be due to the influx of Uber and Lyft vehicles at locations in Brooklyn and Queens.
Dear @elonmusk and @Tesla please consider increased demand for the superchargers (240kw) and make the new ones nearby these locations- #Brooklyn #BayRidge #BathBeach #Bensonhurst #DykerHeights #Forthamilton
Please, cooperate with Tesla – @NYCMayorsOffice @nyctaxi @Uber pic.twitter.com/fYmPNr9EOt
— Vako Ormotsadze (@VOrmotsadze) January 12, 2024
This is not a great experience.
We need more supercharger locations in NYC. As a Tesla customer we shouldn’t have to go through this, second time this week. @elonmusk @Tesla @TeslaCharging @WholeMarsBlog @heydave7 @SawyerMerritt @DirtyTesLa @DillonLoomis22 pic.twitter.com/GVybsMdq8w— Tesla Shill (@TeslaShill) January 17, 2024
Tesla has sent this message to drivers in the area, indicating that Active Supercharger Congestion Fees will be applied:
“Idle fees have been replaced by congestion fees at select Superchargers near you. Congestion fees accrue when your Supercharger is busy and your vehicle’s battery is above a certain level. This change helps reduce wait times and ensures that everyone has access to Superchargers when they need it.
Congestion fees apply when:
- Supercharger is busy
- Your vehicle’s charge is above the congestion fee charge level
View congestion fees and charge levels at which they apply on your touchscreen.”
The number of Lyft and Uber vehicles that applied for licenses through the New York City Taxi and Limousine Commission (TLC) was well over 9,000 units last year, and several NYC Councilmembers warned that this could cause congestion.
The TLC eliminated the cap on for-hire drivers as long as the vehicles are electric or handicap accessible, but there are now so many in the city that it is causing issues.
On top of this, there are only so many charging stations in the City, and several are operated by Revel, the ride-sharing service that fought the TLC for more for-hire licenses several years ago.
Tesla Model 3 wins hearts as famed NYC Taxi, picks up where Nissan Leaf couldn’t
As for congestion fees, Tesla launched them last year in an attempt to keep Supercharger lines moving when certain locations are congested.
Code from Tesla hacker green stated that the congestion fees would apply when vehicles are charging over 80 percent.
Potential Solutions
The big issue and core problem is that there are a lot of EV drivers in New York, but the infrastructure just has not gotten to a point where it can routinely handle an influx of cars that need a charge.
Revel has been expanding its network of EV chargers throughout New York City and plans to open more stations this year.
Spokesperson Robert Familiar told us:
“Revel’s public fast-charging Superhubs have seen about four times more public utilization in the last two months, which we see as a direct outcome of the Green Rides initiative. We’re anticipating an even greater uptick as more drivers look to skip long lines and hidden fees by charging at our higher-volume Superhubs.”
The 2018 Green Rides initiative has been great for EV adoption, but it surged demand so much that it generally outpaced infrastructure availability.
Jason Kersten, the Press Secretary of the NYC TLC, told me that there will be growing pains until the City is able to build out the appropriate amount of infrastructure. EVs are obviously a great thing for New York, and we talked in detail about the transitional phase that the City will go through over the next 11 years as it gears up for a 100 percent zero-emissions fleet.
TLC Commissioner David Do believes infrastructure will need to catch up as drivers under the Commission jumped at the opportunity to own EVs last year:
“In October, we gave TLC drivers the option of owning their own EV plates instead of continuing to lease gas-powered vehicles, and many of them jumped at it. They’re now hitting the road, leading the charge towards a cleaner and more sustainable city and sending a very clear message: We need more charging infrastructure. We’re doing everything we can to meet that demand as quickly as possible. That includes the city’s commitment to install 13 fast charging hubs in municipal parking facilities citywide, a new Bronx charging depot, and 30 fast chargers at TLC’s Woodside inspection facility.”
88 percent of the 9,756 applications the TLC received between October 18 and November 13 were from individual drivers, not companies. The TLC has, so far, approved 4,732 and continues to process applications.
The TLC and the City of New York have worked together to increase charging infrastructure moving forward. The efforts have resulted in $15 million in federal funding for a charging depot in the Bronx, 30 fast-chargers at the TLC’s Woodside inspection facility, and 13 municipal parking facilities citywide, among other things.
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News
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
Cybertruck
Tesla Cybertruck is officially the safest pickup, IIHS says
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.