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The saga continues with Model X driver involved in Montana crash
Mr. Pang is back this time with a second open letter to Tesla
The Tesla Model X driver involved in a Montana crash while using Autopilot is stirring up controversy once again this time asking Tesla Motors to reveal additional details from the incident. It seems that language differences play a large role in this dispute. Acting as his representative, Steven Xu sent us a second open letter Mr. Pang penned to Elon Musk, in which he takes issue with Tesla’s account of the accident. The open letter reads as follows:
Here is the second letter from my friend, Mr.Pang.
To Tesla Team:
It has been weeks since I published the letter. No one has ever tried to contact us and discus about the crash. To fully understand the reason that caused this crash is critical for all tesla drivers. After awhile tesla published a response towards our letter. Most of parts are fit into the story. However there are few points that I would like to point out.
“From this data, we learned that after you engaged Autosteer, your hands were not detected on the steering wheel for over two minutes. This is contrary to the terms of use when first enabling the feature and the visual alert presented you every time Autosteer is activated.”
I admit that my hands were out of steering wheel after I engaged autopilot. The reason that I was doing that is because I put too much faith in this system. I also believe most Tesla driver would do the something when they
engage autopilot including Elon. The problem here is that Tesla had over advertised this feature by calling it “autopilot”. This feature should named “advance driving assistant”. It is possible that Tesla had known accident like this would come sooner or later. Tesla might think that setting up the term by saying “please put hands on steering wheel at all time” would be response free for Tesla.
2、 As road conditions became increasingly uncertain, the vehicle again alerted you to put your hands on the wheel.
The road condition was better than fine. Lane mark is absolutely clear. Road is flat and there is no incoming car. No matter what my sight was never out of the road. However everything was happened too fast for me to take control. Everything happened in less than a second.
3、No steering torque was then detected until Autosteer was disabled with an abrupt steering action. Immediately following detection of the first impact, adaptive cruise control was also disabled, the vehicle began to slow, and you applied the brake pedal.
No one should avoid the cause of the malfunction of autopilot feature. Since you start explaining it, I realize that you are implying that some sort of force was applied to the steering wheel by me. I had no idea how Tesla got this clue. There are two points I want to make here. First, my hands were not on the steering wheel. Second no obstacle was on the road to alter the steering wheel direction. The one and the only one that was taking control of this entire vehicle and steering it away from the road is autopilot software itself. Somehow I realize if my hands were on the steering wheel with a force, would Tesla blame me for the collision? To me it looks like that if an accident occur by autopilot, either hands are on or not on the steering wheel, Tesla can always find a way out by saying “abrupt steering action”.
Tesla also claimed that “abrupt steering adaptive cruise control was also disabled, the vehicle began to slow.”
This is nowhere near the truth. The real thing is that vehicle was NEVER attended to slow from hitting the first pole towards the last. It only took about a second to hit 12 wood poles. I believe if it wasn’t me who brake the vehicle it would continued cruising. Mr. Huang was injured severely due to high speed impact.
Tesla as a global impact company should respect the truth of every incident. Nothing is more important hand human life. Lying or manipulating towards public about what really happened is unacceptable.
Weeks ago I got contacted by Tesla regarding this accident. Since you cannot find a mandarin translator, we rearranged the call again in four hours. However that was the last time when Tesla tries to contact me. What I am asking is to fully reveal the driving data from the collision. Reliability of Autopilot software matters to hundreds and thousands of Tesla drivers. I wish to know the entire story about what really happened on us on that collision.
Thanks
Sincerely
Mr. Pang
Steven Xu pointed us to comments being made on the Tesla Motors Club forum that seemingly offers Mr. Pang no support at all. In fact, based on those comments, there almost seems to be a cultural bias in play in this situation. One wonders if perhaps things would seem different if they were driving a car in China that only displayed instructions in Mandarin.
Pang’s complaint is very similar to one lodged by a Chinese customer last month whose Tesla crashed on the highway on the way to work. He claimed that the salesman he spoke to before purchasing his car told him specifically that the car could drive itself and proved it by driving with his hands off the wheel during a test drive. Tesla later amended the language it uses to describe its Autopilot system on its Chinese website. It’s possible that same linguistic confusion has a bearing on Mr. Pang’s unfortunate accident.
At this point, it seems the matter will be handled by insurance companies and lawyers. Tesla apparently has had no further contact with Pang. Through Steven, Pang says, “Weeks ago I got contacted by Tesla regarding this accident. Since you cannot find a Mandarin translator, we re-arranged the call again in four hours. However, that was the last time when Tesla tries to contact me.
“What I am asking is to fully reveal the driving data from the collision. Reliability of Autopilot software
matters to hundreds and thousands of Tesla drivers. I wish to know the entire story about what really happened on us on that collision.”
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.
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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”
