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Driver of Model X crash in Montana pens open letter to Musk, calls Tesla drivers “lab rats” [Updated]

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Pang, the driver of the Model X that crashed in Montana earlier this month has posted an open letter to Elon Musk and Tesla asking the company to “take responsibility for the mistakes of Tesla products”. He accuses Tesla for allegedly using drivers as “lab rats” for testing of its Autopilot system.

In an email sent to us and also uploaded to the Tesla Motors Club forum, Pang provides a detailed account of what happened the day of the crash. He says he and a friend drove about 600 miles on Interstate 90 on the way to Yellowstone National Park. When he exited the highway to get on Montana route 2, he drove for about a mile, saw conditions were clear, and turned on Autopilot again. Pang describes what happened next as follows:

“After we drove about another mile on state route 2, the car suddenly veered right and crashed into the safety barrier post. It happened so fast, and we did not hear any warning beep. Autopilot did not slow down at all after the crash, but kept going in the original speed setting and continued to crash into more barrier posts in high speed. I managed to step on the break, turn the car left and stopped the car after it crashed 12 barrier posts.

“After we stopped, we heard the car making abnormal loud sound. Afraid that the battery was broken or short circuited, we got out and ran away as fast as we could. After we ran about 50 feet, we found the sound was the engine were still running in high speed. I returned to the car and put it in parking, that is when the loud sound disappeared.”

Pang goes on to explain how his Tesla Model X driving on Autopilot continued to travel on its own even after veering off the road and crashing into a roadside stake.  “I was horrified by the fact that the Tesla autopilot did not slow down the car at all after the intial crash. After we crashed on the first barrier post, autopilot continued to drive the car with the speed of 55 to 60 mph, and crashed another 11 posts. Even after I stopped the car, it was still trying to accelerate and spinning the engine in high speed. What if it is not barrier posts on the right side, but a crowd?”

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Photo credit: Steven Xu

After the accident, Tesla reviewed the driving logs from the Model X and reported that the car was operating for more than two miles with no hands on the steering wheel, despite numerous alarms and warnings issued by the car. Pang says he never heard any audible warnings. Comments on TMC range from the incredulous to the acerbic. Most feel Teslas simply don’t operate the way Pang said his car did. Among other discrepancies, the cars are designed to put themselves in Park if the driver’s door is opened with no one in the driver’s seat.

But that hasn’t stopped Pang from voicing his strong opinions on Tesla’s Autopilot system. “It is clear that Tesla is selling a beta product with bugs to consumers, and ask the consumers to be responsible for the liability of the bugging autopilot system. Tesla is using all Tesla drivers as lab rats.”

A car that crashes but continues to accelerate is certainly a scary thought. There is no way to resolve the discrepancy between what Pang says happened and Tesla’s account of what occurred. In an updated email sent to us by friend and english translator for Mandarin speaking Pang, Tesla has reached out to Pang to address the matter.

The original open letter from Pang reads as follows:

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A Public Letter to Mr. Musk and Tesla For The Sake Of All Tesla Driver’s Safety

From the survivor of the Montana Tesla autopilot crash

My name is Pang. On July 8, 2016, I drove my Tesla Model X from Seattle heading to Yellowstone Nation Park, with a friend, Mr. Huang, in the passenger seat. When we were on highway I90, I turned on autopilot, and drove for about 600 miles. I switched autopilot off while we exited I90 in Montana to state route 2. After about 1 mile, we saw that road condition was good, and turned on autopilot again. The speed setting was between 55 and 60 mph. After we drove about another mile on state route 2, the car suddenly veered right and crashed into the safety barrier post. It happened so fast, and we did not hear any warning beep. Autopilot did not slow down at all after the crash, but kept going in the original speed setting and continued to crash into more barrier posts in high speed. I managed to step on the break, turn the car left and stopped the car after it crashed 12 barrier posts. After we stopped, we heard the car making abnormal loud sound. Afraid that the battery was broken or short circuited, we got out and ran away as fast as we could. After we ran about 50 feet, we found the sound was the engine were still running in high speed. I returned to the car and put it in parking, that is when the loud sound disappeared. Our cellphone did not have coverage, and asked a lady passing by to call 911 on her cellphone. After the police arrived, we found the right side of the car was totally damaged. The right front wheel, suspension, and head light flied off far, and the right rear wheel was crashed out of shape. We noticed that the barrier posts is about 2 feet from the white line. The other side of the barrier is a 50 feet drop, with a railroad at the bottom, and a river next. If the car rolled down the steep slope, it would be really bad.

Concerning this crash accident, we want to make several things clear:

1. We know that while Tesla autopilot is on but the driver’s hand is not on the steering wheel, the system will issue warning beep sound after a while. If the driver’s hands continue to be off the steering wheel, autopilot will slow down, until the driver takes over both the steering wheel and gas pedal. But we did not hear any warning beep before the crash, and the car did not slow down either. It just veered right in a sudden and crashed into the barrier posts. Apparently the autopilot system malfunctioned and caused the crash. The car was running between 55 and 60 mph, and the barrier posts are just 3 or 4 feet away. It happened in less than 1/10 of a second from the drift to crash. A normal driver is impossible to avoid that in such a short time.

2. I was horrified by the fact that the Tesla autopilot did not slow down the car at all after the intial crash. After we crashed on the first barrier post, autopilot continued to drive the car with the speed of 55 to 60 mph, and crashed another 11 posts. Even after I stopped the car, it was still trying to accelerate and spinning the engine in high speed. What if it is not barrier posts on the right side, but a crowd?

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3. Tesla never contacted me after the accident. Tesla just issued conclusion without thorough investigation, but blaming me for the crash. Tesla were trying to cover up the lack of dependability of the autopilot system, but blaming everything on my hands not on the steering wheel. Tesla were not interested in why the car veered right suddenly, nor why the car did not slow down during the crash. It is clear that Tesla is selling a beta product with bugs to consumers, and ask the consumers to be responsible for the liability of the bugging autopilot system. Tesla is using all Tesla drivers as lab rats. We are willing to talk to Tesla concerning the accident anytime, anywhere, in front of the public.

4. CNN’s article later about the accident was quoting out of context of our interview. I did not say that I do not know either Tesla or me should be responsible for the accident. I might consider buying another Tesla only if they can iron out the instability problems of their system.

As a survivor of such a bad accident, a past fan of the Tesla technology, I now realized that life is the most precious fortune in this world. Any advance in technology should be based on the prerequisite of protecting life to the maximum extend. In front of life and death, any technology has no right to ignore life, any pursue and dream on technology should first show the respect to life. For the sake of the safety of all Tesla drivers and passengers, and all other people sharing the road, Mr. Musk should stand up as a man, face up the challenge to thoroughly investigate the cause of the accident, and take responsibility for the mistakes of Tesla product. We are willing to publicly talk to you face to face anytime to give you all the details of what happened. Mr. Musk, you should immediately stop trying to cover up the problems of the Tesla autopilot system and blame the consumers.

Tesla’s Response on TMC

TM Ownership, Saturday at 12:11 PM
Dear Mr. Pang,

We were sorry to hear about your accident, but we were very pleased to learn both you and your friend were ok when we spoke through your translator on the morning of the crash (July 9). On Monday immediately following the crash (July 11), we found a member of the Tesla team fluent in Mandarin and called to follow up. When we were able to make contact with your wife the following day, we expressed our concern and gathered more information regarding the incident. We have since made multiple attempts (one Wednesday, one Thursday, and one Friday) to reach you to discuss the incident, review detailed logs, and address any further concerns and have not received a call back.

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As is our standard procedure with all incidents experienced in our vehicles, we have conducted a thorough investigation of the diagnostic log data transmitted by the vehicle. Given your stated preference to air your concerns in a public forum, we are happy to provide a brief analysis here and welcome a return call from you. 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. As road conditions became increasingly uncertain, the vehicle again alerted you to put your hands on the wheel. 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.

Following the crash, and once the vehicle had come to rest, the passenger door was opened but the driver door remained closed and the key remained in the vehicle. Since the vehicle had been left in Drive with Creep Mode enabled, the motor continued to rotate. The diagnostic data shows that the driver door was later opened from the outside and the vehicle was shifted to park. We understand that at night following a collision the rotating motors may have been disconcerting, even though they were only powered by minimal levels of creep torque. We always seek to learn from customer concerns, and we are looking into this behavior to see if it can be improved. We are also continually studying means of better encouraging drivers to adhere to the terms of use for our driver assistance features.

We are still seeking to speak with you. Please contact Tesla service so that we can answer any further questions you may have.

Sincerely,
The Tesla team

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"I write about technology and the coming zero emissions revolution."

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Tesla Diner becomes latest target of gloom and doom narrative

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tesla diner
Credit: Tesla

The Tesla Diner has been subject to many points of criticism since its launch in mid-2025, and skeptics and disbelievers claim the company’s latest novel concept is on its way down, but there’s a lot of evidence to state that is not the case.

The piece cites anecdotal evidence like empty parking lots, more staff than customers during a December visit, removed novelty items, like Optimus robot popcorn service and certain menu items, the departure of celebrity chef Eric Greenspan in November 2025, slow service, high prices, and a shift in recent Google/Yelp reviews toward disappointment.

The piece frames this as part of broader Tesla struggles, including sales figures and Elon Musk’s polarizing image, calling it a failed branding exercise rather than a sustainable restaurant.

This narrative is overstated and sensationalized, and is a good representation of coverage on Tesla by today’s media.

Novelty Fade is Normal, Not Failure

Any hyped launch, especially a unique Tesla-branded destination blending dining, Supercharging, and a drive-in theater, naturally sees initial crowds taper off after the “Instagram effect” wears down.

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Tesla makes major change at Supercharger Diner amid epic demand

This is common for experiential spots in Los Angeles, especially pop-up attractions or celebrity-backed venues. The article admits early success with massive lines and social media buzz, but treats the return to normal operations as “dying down.”

In reality, this stabilization is a healthy sign of transitioning from hype-driven traffic to steady patronage.

Actual Performance Metrics Contradict “Ghost Town” Claims

  • In Q4 2025, the Diner generated over $1 million in revenue, exceeding the average McDonald’s location
  • It sold over 30,000 burgers and 83,000 fries in that quarter alone. These figures indicate a strong ongoing business, especially for a single-location prototype focused on enhancing Supercharger experiences rather than competing as a mass-market chain

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Conflicting On-the-Ground Reports

While the article, and other similar pieces, describe a half-full parking lot and sparse customers during specific off-peak visits, other recent accounts push back:

  • A January 2026 X post noted 50 of 80 Supercharger stalls were busy at 11 a.m., calling it “the busiest diner in Hollywood by close to an order of magnitude

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  • Reddit discussions around the same time describe it as not empty when locals drive by regularly, with some calling the empty narrative “disingenuous anti-Tesla slop.”

Bottom Line

The Tesla Diner, admittedly, is not the nonstop circus it was at launch–that was never sustainable or intended. But, it’s far from “dying” or an “empty pit stop.”

It functions as a successful prototype: boosting Supercharger usage, generating solid revenue, and serving as a branded amenity in the high-traffic EV market of Los Angeles.

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Tesla stands to win big from potential adjustment to autonomous vehicle limitations

Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.

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Credit: Patrick Bean | X

Tesla stands to be a big winner from a potential easing of limitations on autonomous vehicle development, as the United States government could back off from the restrictions placed on companies developing self-driving car programs.

The U.S. House Energy and Commerce subcommittee will hold a hearing later this month that will aim to accelerate the deployment of autonomous vehicles. There are several key proposals that could impact the development of self-driving cars and potentially accelerate the deployment of this technology across the country.

These key proposals include raising the NHTSA’s exemption cap from 2,500 to 90,000 vehicles per year per automaker, preempting state-level regulations on autonomous vehicle systems, and mandating NHTSA guidelines for calibrating advanced driver assistance systems (ADAS).

Congress, to this point, has been divided on AV rules, with past bills like the 2017 House-passed measure stalling in the Senate. Recent pushes come from automakers urging the Trump administration to act faster amid competition from Chinese companies.

Companies like Tesla, who launched a Robotaxi service in Austin and the Bay Area last year, and Alphabet’s Waymo are highlighted as potential beneficiaries from lighter sanctions on AV development.

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The NHTSA recently pledged to adopt a quicker exemption review for autonomous vehicle companies, and supporters of self-driving tech argue this will boost U.S. innovation, while critics are concerned about safety and job risks.

How Tesla Could Benefit from the Proposed Legislation

Tesla, under CEO Elon Musk’s leadership, has positioned itself as a pioneer in autonomous driving technology with its Full Self-Driving software and ambitious Robotaxi plans, including the Cybercab, which was unveiled in late 2024.

The draft legislation under consideration by the U.S. House subcommittee could provide Tesla with significant advantages, potentially transforming its operational and financial landscape.

NHTSA Exemption Cap Increase

First, the proposed increase in the NHTSA exemption cap from 2,500 to 90,000 vehicles annually would allow Tesla to scale up development dramatically.

Currently, regulatory hurdles limit how many fully autonomous vehicles can hit the roads without exhaustive approvals. For Tesla, this means accelerating the rollout of its robotaxi fleet, which Musk envisions as a network of millions of vehicles generating recurring revenue through ride-hailing. With Tesla’s vast existing fleet of over 6 million vehicles equipped with FSD hardware, a higher cap could enable rapid conversion and deployment, turning parked cars into profit centers overnight.

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Preempting State Regulations

A united Federal framework would be created if it could preempt State regulations, eliminating the patchwork of rules that currently complicate interstate operations. Tesla has faced scrutiny and restrictions in states like California, especially as it has faced harsh criticism through imposed testing limits.

A federal override of State-level rules would reduce legal battles, compliance costs, and delays, allowing Tesla to expand services nationwide more seamlessly.

This is crucial for Tesla’s growth strategy, as it operates in multiple markets and aims for a coast-to-coast Robotaxi network, competing directly with Waymo’s city-specific expansions.

Bringing Safety Standards to the Present Day

Innovation in the passenger transportation sector has continued to outpace both State and Federal-level legislation, which has caused a lag in the development of many things, most notably, self-driving technology.

Updating these outdated safety standards, especially waiving requirements for steering wheels or mirrors, directly benefits Tesla’s innovative designs. Tesla wanted to ship Cybertruck without side mirrors, but Federal regulations required the company to equip the pickup with them.

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Cybercab is also planned to be released without a steering wheel or pedals, and is tailored for full autonomy, but current rules would mandate human-ready features.

Streamlined NHTSA reviews would further expedite approvals, addressing Tesla’s complaints about bureaucratic slowdowns. In a letter written in June to the Trump Administration, automakers, including Tesla, urged faster action, and this legislation could deliver it.

In Summary

This legislation represents a potential regulatory tailwind for Tesla, but it still relies on the government to put forth action to make things easier from a regulatory perspective. Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

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. 

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“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.”

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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.

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