Tesla is partnering with electric vehicle charging reliability platform ChargerHelp! to survey the status of various chargers in the company’s Destination Charger Network.
ChargerHelp! is an app-based dispatch and deployment system that helps to resolve issues with downed or inoperable electric vehicle charging stations. The company offers on-demand repairs and maintenance support from local workforces, which can come and service a malfunctioning EV charger in Tesla’s Destination Charger Network.
Tesla’s Destination Charging Network consists of over 35,000 wall connectors at Destination Charging Sites, which include hotels, restaurants, and resorts. They are not as powerful as the Tesla Superchargers as they only offer 22 kW of power. Tesla’s high-powered V3 Supercharger offers 250 kW for comparison.
ChargerHelp! said its partnership with Tesla will start in California as the platform will survey Destination stations to provide critical data points and insights pertaining to the station’s overall performance.
Perhaps the biggest issue facing EV adoption is charger reliability. The issue pushed California Governor Gavin Newsom to write the “EV Charging Reliability Transparency Act,” a bill supported by ChargerHelp!, which could help solve most of the issues with EV charging maintenance. A study from the University of California Berkley that found that only 72.5% of chargers in the Bay Area were operable, despite having lofty plans to eliminate ICE car sales by 2035.
“Trusting that a charging station will work and knowing that if there is an issue it will be fixed in a timely manner is essential to EV drivers and paramount to the success of the industry,” Kameale C. Terry, ChargerHelp! Co-Founder & Chief Executive Officer, said.
Electric vehicle chargers are widely available and companies are working to expand their presence of piles that can support a variety of cars. Additionally, the United States has funneled billions to expanding the electric vehicle charging infrastructure, looking to build at least 500,000 additional EV chargers in the U.S., thanks to $7.5 billion in funding.
The White House has also announced over $700 million in private sector commitments for EV charging infrastructure:
- Toyota announced an additional $2.5 billion investment in a Greensboro, North Carolina manufacturing facility.
- Honda and LG Energy Solution announced a $4.4 billion joint venture in a to-be-announced location in the U.S.
- Ford Motor Company announced it will invest $3.7 billion in assembly plants in Michigan, Ohio and Missouri and create 6200 jobs.
- Panasonic announced a $4 billion plant in De Soto, Kansas that will create 4,000 jobs. Panasonic is also reportedly evaluating a similar investment in an additional new battery factory.
- Vinfast announced a more than $5 billion investment in building electric vehicles and batteries in North Carolina that will create 13,000 jobs.
- Hyundai announced a $5.5 billion investment to build electric vehicles and batteries near Savannah, Georgia
- Through DOE’s Advanced Technology Vehicle Manufacturing program, the Department of Energy announced a $2.5 billion loan in July 2022 to General Motors for battery manufacturing facilities in Ohio, Tennessee, and Michigan
ChargerHelp! was founded in 2020 and operates at a fixed monthly price per EV charging station, it 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.
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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”
