News
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.”
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
