News
Tesla denied grant applications in Texas for Superchargers despite fractional costs
Tesla recently applied for a series of grants through a program in the State of Texas that would cover up to 70 percent of an electric vehicle charging stall installation. However, the applications from the United States’ leading electric automaker were denied, despite costs being a fraction of what competitor installations would cost. According to a report from Forbes, which examined the rejected applications and what would instead be installed, Texas is doing itself a disservice, selecting “the most expensive stations in the worst locations for their money.”
Despite a laid out sheet of ground rules, which tend to gravitate toward impartial and unbiased selections, it does not always work out that way. The $21 million in grants, which are awarded on a first-come-first-serve basis, provided enough funding for 170 chargers at 41 stations. Tesla’s applications were not selected for a single project, despite aligning with the grant’s requirements, which would have made Tesla install CHAdeMO or CCS connectors, which would open the Superchargers up to other car manufacturers.
Interestingly, the article states that around 70 percent of EVs on the road would benefit from even more Tesla Superchargers. The robust network of global charging stations for Tesla, which recently eclipsed 30,000 worldwide, provides energy for the industry’s best EVs. Sales figures for Tesla are simply incomparable to other EV companies, as it is the only company in the United States to consistently mark hundreds of thousands of deliveries per quarter, with each one being an electric powertrain.
Tesla’s Superchargers would not have only benefitted drivers of the all-electric automaker’s products. The Forbes report indicates Tesla had only applied for a “small portion” of the money to build its first four stations, which would also accept non-Tesla EVs, much like a “pilot” program the company has started to test in Europe.
Tesla’s non-Tesla Supercharger pilot program expands to France, Norway
While it has not yet happened in the United States, Tesla Superchargers could be used to provide energy to other EV manufacturer products. Tesla stands to gain in other ways, too, as the company allowing other cars to access its infrastructure would help relieve range anxiety concerns. However, its biggest advantage is having 70 percent of the station covered by grant money.
Even if Tesla planned to use the grant funds to expand its charging infrastructure, the decision not to accept their applications is questionable. The prices in unaccepted grant applications, representing up to 70 percent of the actual cost, are as follows:
- Chargepoint: $150K+ for 2-plex
- EVgo: $150K+ for pair, $126K for 4-plex
- Circle-K: $75K for 4-plex to $150K+ for 2-plex
- 7-11: $126K for 2-plex
- “Retail EV Charging North/South Texas” (Buc-ee’s) $100K/charger for 6-plex
- Various small players: $75K to $150K, averaging at least $133K/charger
- Accepted applications so far from various players average $123K+/charger
- Tesla: $29K for 17-plex, $42K for 9-plex
Opening up potential Supercharger locations to other automakers would be extremely advantageous from a cost perspective. It also would give Tesla the ability to test the waters of a potential pilot program in the United States, with plenty of restrictions that would still give Tesla owners prioritization at the stalls.
Ultimately, the EV infrastructure doesn’t seem to gain any benefits from what the Forbes article’s author, Brad Templeton, calls “misguided grants.” Instead, funding the EV infrastructure with what drivers actually need, which is more stations in advantageous areas, like shopping centers or tourist destinations, is the answer.
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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.
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”
