News
BMW, Nissan and Tesla to Develop Universal Charging Network?
Now that Tesla has tentatively opened some of its intellectual properties (IP) to the competition and that we have some insight as to its motives, who else wants to benefit from this strategy?
Tesla welcomes the competition
Welcoming the competition might seem like a bold and dramatic move, but it is one Elon Musk has carefully planned. In the past articles, we visited what it means to open some of the company’s IP to the competition, and asked what does Tesla Motors mean by “good faith” use. We also saw this is a strategic move to once and for all cement Tesla’s role at the core of the electric vehicle (EV) industry. It also gives it a chance for its charging protocol to become a de facto standard.
BMW and Nissan
BMW has demonstrated a willingness to step into the 22nd Century, leaping over its local German competition. It has dabbled with the idea of selling directly, but is careful not to rock the boat. The matter of the fact is that BMW needs other carmakers more than Tesla does in terms of manufacturing. Case in point, its partnership with Toyota, which gives it more production capacity. BMW also gains much of a strategic alliance with Tesla.
Nissan is the next logical choice. Already at the forefront of EVs with its best selling Nissan LEAF, which stands for Leading, Environmentally friendly, Affordable, Family car, it built and sold more electric cars than any other company in history.
Tesla already announced last week that it had a meeting with BMW, who showed great interest. BMW is working hard to make its “ultimate driving” electric machines not only fun to drive, but feasible. And serious, BMW is. BMW bought its own carbon fiber manufacturing company and developed a sophisticated resign carbon fiber tub for its electric i3 and the stunning plug-in hybrid (PHEV) i8. I was fortunate to interview Benoit Jacobs, the head designer of the iDrive team, who revealed the gist was to have static air flow control with no electronics. Every curve and line are functional on both the i8 and i3, from the static upper windshield spoiler to the dramatic rear air diffusers. Benoit told me he wanted static aerodynamics, not electronic automation. One glance at the i8 and we can say they achieved something the Germans are not always known for, dramatic beauty. Now the real work rests on batteries and electronics, something Tesla does brilliantly.
The only problem BMW has, as well as an other recent EV I tested on CarNewsCafe is the (in)famous Combined Charging Standard (CCS) plug. CCS stations are far and few between compared to more readily available CHAdeMO, with more than 1,000 globally and the Superchargers, 100 globally. Nissan uses CHAdeMO and enjoys many more locations than CCS, but it, too, has never developed a charging network.
How come electric carmakers don’t build charging networks?
One of the many question we, journalists, ask EV makers is why they haven’t actively built a charging infrastructure like Tesla? There are many reasons, most about keeping their core competencies and ROI balanced for survival. Both BMW and Nissan would benefit tapping into Tesla’s technology and hopefully shift the power away from the idiotic charging standard war dividing manufacturers, leaving consumers to pay the price once more. If BMW and Nissan adopt Tesla’s charging protocol, the industry inexorably tilts toward a unified charging standard, leaving the CHAdeMO versus CCS battle a vestige of yesterday’s knuckle-dragging battle techniques behind. Did I make that last point strongly enough? Now imagine how the rest of carmakers and the charging industry feels.
Image source: Autoguide
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.
