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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?”

Photo credit: Steven Xu

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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:

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.

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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?

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.

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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.

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 ships ‘spooky’ Halloween Mode with creepy and fun features

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Credit: Tesla

Tesla is now starting to ship a “Halloween Mode” that is filled with some creepy and fun features; the company says, “This spooky update turns your Tesla into a haunted house on wheels.”

The update is just the latest in a series of updates that Tesla typically ships out in a seasonal fashion. The Spring and Summer Updates provided some fun novelty items while also packing some cool features that are actually useful for the ownership experience.

This one seems to be more fun-forward, and there are not any updates to the Full Self-Driving suite or overall operation of the vehicle. Instead, these novelty features are geared toward getting you in the mood for the Fall and Halloween.

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New Ghost Costume on Car Avatar

Driver Visualization will now show your vehicle as a ghost, as an all-white sheet is draped over the vehicle. Pedestrians are turned into mummies or skeletons, and other vehicles are all a spooky green:

Credit: Tesla

Additionally, the Park Scene with your Tesla now displays that ghost costume draped over your vehicle in the foreground of a scary backdrop with Jack-o-Lanterns and a haunted house:

Credit: Tesla

Trick or Treat Mode

Trick or Treat Mode will enable the vehicle to play spooky sounds and flicker the lights as visitors approach. This might be a nice touch for when you’re handing out candy to kids on Halloween Night.

Other Features

Tesla is also adding a new Light Show, new Wrap Options, and a new Lock Sound with this update.

Credit: Tesla

Additionally, Photobooth has a new Halloween option:

Credit: Tesla

You will also be able to speak remotely through the app and transmit your voice to people outside, which is not a new feature, but the car will say it in a voice of its own, which is a new feature with that bullhorn-like feature.

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SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions

SpaceX reveals plans for one million Starmind AI satellites and calls out operators hiding maneuvers.

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Concept rendering of SpaceX Starmind constellation via Grok
Concept rendering of SpaceX Starmind constellation via Grok

SpaceX has put the largest satellite count it has ever published into writing, and it says that plan only works if every other operator in orbit starts sharing what it knows.

In a new Space Safety page highlighted Tuesday morning by Sawyer Merritt on X, SpaceX said it “plans to operate up to 100,000 Starlink satellites and up to 1 million Starmind AI satellites to meet the growing demand for broadband and supercompute.” Starlink has a little over 11,000 satellites in orbit today, so the target alone implies roughly a ninefold expansion of the broadband network.

Starmind is SpaceX’s orbital AI compute constellation. Elon Musk confirmed the Starmind name in June after an xAI trademark filing surfaced, and in August SpaceX said it was working with Nvidia on the compute payload. The FCC accepted the filing for up to one million satellites back in February.

FCC accepts SpaceX filing for 1 million orbital data center plan

SpaceX also released a new render of what a full Starmind constellation could look like. Alongside it, SpaceX VP Michael Nicolls explained why the satellites will not operate on their own. “We need to operate clusters of satellites in tight formation to get enough coherent compute to run AI models efficiently,” Nicolls said. “A cluster will be 10-ish satellites connected with 10 terabits or so of bandwidth between them, and interconnected to the broader constellation.”

That is the most specific detail SpaceX has given on how Starmind will be built. Instead of a million independent servers, the network would work as tightly packed groups of about 10 satellites acting as one compute unit, with Starlink’s laser links carrying results back to Earth.

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Packing satellites that close together, at that scale, makes collision avoidance the central problem, and most of the Space Safety page is aimed at other operators. SpaceX said Starlink encountered collision risks with about 650 unique maneuvering third party satellites in 2026, and only about half of them shared data. Over six months, Starlink recorded roughly 164,000 more collision risks where the closest approach came within four hours of an unannounced maneuver.

Some operators keep maneuver plans private over proprietary concerns, while others cannot get government permission to share them. SpaceX called those policies “counterproductive,” saying they “largely only serve to create preventable collision risk between satellites.” Starlink is also offering a free ephemeris sharing and screening platform that returns risk results within a minute, backed by its Stargaze network of 30,000 optical sensors.

The push comes as the Starmind application draws opposition from astronomers and environmental groups. In a September filing with the FCC, SpaceX said each Starmind satellite could weigh up to 4,000 kg, nearly seven times the mass of a Starlink V2 Mini. Musk has brushed off crowding concerns before, telling viewers in June that “space is enormous” and that SpaceX already knows how to run very large constellations safely.

SpaceX’s Starmind page says its Gigasat factory in Bastrop, Texas, is designed to produce AI satellites at scale, with deployment of thousands of units starting as soon as late 2027.

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Five things that are keeping Tesla Full Self-Driving supervised

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Credit: Tesla

Tesla Full Self-Driving is really good. I have used it for over 76 percent of my driving since FSD v14 launched around this time last year, equating to about 76 percent of my miles using the suite. It’s truly the only way I prefer to travel, but admittedly I save some of the more fun drives for myself.

Even with all of the great things it has done for me, including saving me from being involved in an accident, there are still a handful of things that it needs to improve on. These issues recur from update to update, and while there have been some improvements, they still give me reasons to either soft or hard intervene.

A soft intervention means an adjustment that is needed without disengaging the suite, like manually using a turn signal to change lanes while the car still operates on FSD. What I’d consider to be a “hard intervention” is anything that requires me to disengage the suite altogether, like missing a turn or performing a maneuver I’m uncomfortable with. Of course, some hard interventions will be subjective.

Here are the five things I’d like to see Tesla really focus on through the final versions of v14 and hope to see completely improved with v15.

Speed Limit Recognition and Adjustment

There are entirely too many instances of FSD traveling at a speed that is just totally outrageous. While some of these events can occur on Hurry Mode, I’ve even had issues with it on Standard from time to time, and despite wanting more aggressive maneuvers or a slight bit of urgency, I don’t want to worry about getting a ticket while doing it.

The two areas I notice it the most are in school zones and on local roads. When a Speed Limit changes from 45 to 35, FSD does not always slow down in a way that would appease local law enforcement. On Hurry, 52-55 is pretty standard for a rate of travel in a 45 MPH zone. When it changes to 35, FSD shows zero urgency to slow down to an appropriate speed.

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School Zones have been a true pain point, and as recently as last week, I had an issue with it:

Realistically, most Speed Limit issues are a soft intervention, as I simply scroll into a slower Speed Profile to get the car to slow down. School Zones are a hard intervention, as they require me to completely take over and travel at the posted 15 MPH limit. Even on Sloth, it simply does not get down to a low enough speed.

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Parking

Parking is one thing that has really improved over time, but there are still some pretty considerable hoops Tesla needs to jump through to get it to a point where it can be unsupervised.

Parking preferences seem to be where a lot of these issues will be resolved, as most of my complaints come from the fact that the place FSD chooses to park are usually not where I would personally choose to park. This morning, for example, when I arrived at the gym, FSD chose to park next to a vehicle that was parked with its two tires in the spot that FSD picked.

There were three spots in between that car and the nearest car, so FSD could have chosen the spot that would have given a one-spot buffer between the two vehicles. In a parking lot full of empty spots, don’t be that guy who parks next to a car.

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Generally, parking performance is vastly improved from where it was a year ago; I rarely am adjusting how it pulls or backs into a spot on v14.3.10, but in earlier versions, I definitely had my problems. It’s gotten really good since, and this version has been the best in terms of parking performance. It’s more about the places FSD choose to park, and not necessarily the parking itself.

There are also no options or map data to allow you to choose a charger at a place like a grocery store if it offers charging. These are things that are a bit more complex, but they will be needed for unsupervised FSD operation.

Navigation

Navigation was always going to be on this list, simply because it is one of the most inconsistent and mind-boggling things about FSD. Even after a year of intervening, sending voice notes, and overriding decisions, FSD still tries to take me out of my neighborhood the wrong way. You cannot turn left out of my neighborhood’s main entrance and exit, only right. Navigation still prompts a left turn out of my neighborhood’s main entrance and exit, instead of going around the neighborhood and exiting where a left turn is legal.

Tesla rolled out Preferred Routes with the Summer Update, and this has resolved some of the issues. I also found my own personal workaround:

Some of the more mind-boggling things that FSD used to do with Navigation have been remedied, but it is still a frequent complaint for me and many other owners. I’d just like to see it adopt those preferred routes more frequently and maybe learn them a little faster.

Certain Highway Behaviors

Highway travel is the most consistent and perhaps FSD’s best use case. There is nothing better than having FSD handle busy highway traffic or just long, monotonous, and boring drives. I love to use it for my trips to the Flight 93 Memorial where I volunteer. When I drove manually, I chose to get a hotel and stay overnight because it’s about a 2.5 hour drive. FSD lets me make the drive, put in a volunteering shift, and drive home, without much fatigue. I have found that this is where FSD is most valuable for me, personally.

However, there are a few things FSD does on the highway that are just weird.

One thing I’ve had issues with as of late is that there will be times when I’m about a mile from my exit, the car is in the left lane and is traveling faster than the traffic in the cruising late. Instead of completing a pass and then getting over with no traffic ahead, the car will sometimes drastically and suddenly slow down, switch to the slow lane, and get behind a vehicle — all with a mile until the exit. On average, I’ll have around one minute from the time I get to my exit if it’s a mile away, because in most cases, I’m traveling somewhere around 60 MPH on the highway.

There is no reason to not complete that last pass, then get into the right lane, and have an unobstructed path to the exit. This is one of the more strange behaviors I’ve seen it do, and it really does feel like a bug. Here’s an example of it from FSD v14.3.7:

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I ended up overriding the turn signal and using the accelerator to nudge the car to do what I wanted it to do. There was no reason to get in the left lane and add to the congestion in that lane.

Another thing that FSD does frequently is camps in the left lane, especially on Hurry. Cruising in the passing lane is illegal in Pennsylvania, and I know it is not a crime to do that everywhere. However, it is here, and I really wish the car was a little quicker to get over in the left lane when it’s cruising.

Here’s a pretty drastic example I had just a couple weeks back:

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Recognizing Drastic Changes in Road Condition

I think anyone who has ever used FSD knows that potholes are a huge issue, but so are large bumps or sudden changes in road condition. At the intersection of Kreutz Creek Rd. and Rt. 462 in Hellam, PA the roads are nearly set up as a ramp, and going over it at a speed of over 35 MPH can send your head into the glass roof, your butt off your seat, and a brace for the sudden thud that is inevitably coming when you finally touch back down again.

You can see here I tried to change Speed Profiles quickly, but I did it a tad too late:

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There are other roads in my area that should not be taken at even the posted Speed Limit because of the damage it could do to your car. Here’s another, where I disengaged FSD altogether:

The recognition of these bumps is so crucial for two main reasons: they can cause injury, and they can cause damage to the car. These are reasons why the suite is supervised and drivers should remain attentive. I could not imagine going over that bump at an excessive speed if I had back issues, or if I were older.

Potholes are rarely recognized and usually require a lead car to avoid them. I had FSD use a lead car to avoid a pretty sizeable manhole cover a few weeks back:

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Tesla says that there are improvements coming for potholes, so hopefully that means these bumps will also be recognized consistently.

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