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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
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
