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The saga continues with Model X driver involved in Montana crash

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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.

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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.

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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.

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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.”

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

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Elon Musk

Tesla shows what Roadster drivers will see on screen before thruster activation

Tesla’s Roadster video reveals a fighter jet inspired cockpit with a 5,500 PSI thruster gauge.

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The next generation Tesla Roadster’s touchscreen, shown in Tesla’s first official look at the car’s interface. (Credit: Tesla/X)

Tesla has given future owners their clearest look yet at the cockpit of its next generation Roadster. In a 34 second video posted to X on Friday afternoon, the company walked through the car’s touchscreen with a caption: “Inspired by fighter jet cockpits, Roadster’s interface was designed around the pilot.”

The clip opens on a black screen with red graphics and a 3D wireframe of the car, which sits beside the Roadster’s squared off yoke. Tapping parts of the model brings up controls for the rear wing, including low drag and high downforce positions, along with a charging page with a charge limit bar and a small music player. A row of tabs along the bottom reads Home, Vehicle, Listen, Climate and Navigate.

Most of the video is spent in Track Mode. The dashboard shows a live circuit map, a list of session lap times, brake and motor temperatures, and pressure and temperature readouts for each tire. A setup page lets the driver pick Auto, Low Drag, High Downforce or Custom aero modes, adjust aero balance and brake balance, and switch stability and traction control off. Along the bottom, a status bar reads “Thruster · 5,500 PSI” next to a “Boost Ready” indicator.

That gauge ties the software to the hardware Tesla showed off near Waco, Texas on October 15. The Thrust and Rocket versions use cold gas thrusters fed by carbon overwrapped pressure vessels, and Tesla lists 0 to 60 mph times of under 0.9 seconds and under 0.59 seconds for them, as Teslarati detailed in its breakdown of the three Roadster configurations. The base Performance car relies on a fan and ground sealing system for grip, and the aero settings on screen match the active wings and suction setup covered in our look at how the Roadster generates downforce.

The Roadster layout is a departure from the rest of Tesla’s lineup. Instead of a map centered screen, the Roadster puts the car itself at the center of the home page, and Tesla’s Roadster page lists two smaller forward displays alongside the main touchscreen. Tesla has not said whether any of the Track Mode telemetry will make its way to the Model 3 Performance or other vehicles.

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The interface could still change before deliveries. Elon Musk said at the event that Roadster production will begin in 2028, and Tesla says the flagship Rocket version is not approved for public road use. Reservations are open with a $50,000 payment, while Thrust is listed as a limited release and Rocket is invite only.

Those who want to see the car in person will get their first chance this weekend. The Roadster goes on display in the lobby of the Petersen Automotive Museum in Los Angeles from October 24 to 27, according to Sawyer Merritt, the first time the public will be able to view it up close.

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Tesla reveals Optimus Academy, where robots teach themselves

Tesla has begun building production quality Optimus robots in Fremont and revealed its training plan.

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Concept rendering of Tesla Optimus in mass production

Tesla has started building Optimus on the high volume line it set up inside its Fremont factory, and the company says the robots coming off it are the first that meet the bar for a real product. “The bots coming off this line are the first production-quality bots that we have manufactured,” Tesla wrote in its third quarter shareholder letter, adding that it has “proven that the current manufacturing process for Optimus is suitable for a commercial product.”

The line sits in space that built the Model S and Model X until this spring. Tesla cleared the old vehicle line in 46 days, as Teslarati reported in July, to make room for robot production sized for one million units a year. On Wednesday’s earnings call, Elon Musk said most of the equipment for that capacity is already in Fremont, with output set to climb toward roughly 20,000 robots a week as the line ramps.

Musk described the ramp as a classic S curve. “The growth of Optimus is an S curve, but the initial curve is a shallow slope,” he said. The team is now refining the robot’s AI, electromechanical design, reliability and service life, and Musk expects that work to be finished by the end of next year, when Tesla plans to start delivering Optimus to outside companies for dangerous, repetitive and around the clock jobs.

The most interesting part of the call was how Tesla plans to teach the robots. Its cars send real driving data back to the AI team from millions of vehicles, but Optimus has no fleet like that yet. “A big difference with Optimus versus the cars is we don’t have this vast fleet of cars from which we can gather training data,” Musk said. Tesla’s answer is an Optimus Academy, where 10,000 to 20,000 robots will practice a wide range of tasks and feed what they learn into the next version of the model. Every unit off the Fremont line becomes a source of that training data.

Smarter hardware is on the way too. Tesla plans to put its AI5 chip into Optimus next year, and Musk said a new Optimus video should arrive within one or two months showing the robot completing tasks driven by AI rather than preprogrammed motions. He took aim at rival humanoid demos that only run scripted routines, saying those would not hold up in the real world.

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The supply chain is lining up behind the program. In September, Tesla certified Tuopu, Joyson and Sanhua as mass production partners for Optimus components. A far larger Optimus factory is also rising at Giga Texas, where drone footage from Joe Tegtmeyer showed the steel frame nearing completion, and Musk has pegged that plant’s long term target at 10 million robots a year.

Tesla executives also said Optimus production costs are trending toward the expected manufacturing cost of Cybercab, a sign the robot is being engineered for volume from the start. The hands remain the toughest piece of the design, a point Musk also made at the X Takeover event earlier this month, as Teslarati covered at the time, and that is where much of the current engineering effort is focused.

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The Starship moon landing number NASA and Elon Musk can’t agree on

Musk disputes NASA estimate of 22 Starship launches for Moon landing, predicting 6 to 8.

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Concept rendering of SpaceX Starship landing on the moon via Grok

Elon Musk is disputing a new NASA safety panel estimate of how many Starship launches it will take to put astronauts on the Moon, saying the real number will be less than half the panel’s figure.

On Thursday, NASA’s Aerospace Safety Advisory Panel held its quarterly public meeting. Panel member Charlie Precourt, a former NASA astronaut, flagged the fueling process for SpaceX’s lunar lander as a major risk for Artemis IV, the mission planned to land a crew on the Moon in 2028. “We need to keep our eyes on numerous required fuelings for the lander,” Precourt said, according to Ars Technica. “I think the last estimate is around 22 flights.”

Ars Technica’s Eric Berger posted the comment on X, and Musk replied. “That’s way too high,” Musk wrote. “Actual number will be more like 6 to 8.”

The disagreement comes down to a basic problem with sending a ship as large as Starship to the Moon. Starship burns nearly all of its propellant just reaching Earth orbit, so it cannot continue on to the Moon without stopping for a refill. SpaceX’s answer is a gas station in space. First, a Starship that works as a storage tank, called a depot, is launched into orbit. Then a series of tanker Starships launch one at a time, dock with the depot and pump their leftover propellant into it. Once the depot is full, the lunar lander version of Starship launches, docks, fills up and heads for the Moon.

Every tanker trip is its own full rocket launch, which is why the count matters. More launches mean more time, more cost and more chances for something to go wrong before astronauts ever leave Earth. Berger estimated that even if SpaceX reaches twice weekly Starship launches by the end of 2027, filling a depot at the panel’s number would still take roughly three months.

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How many tankers are needed depends mostly on how much propellant each one can carry to orbit and how much is lost along the way. Starship’s fuel and oxygen are stored at extremely cold temperatures, and some of it slowly boils off while waiting in orbit. More is lost in each transfer. NASA appears to be working from what Starship can lift today, while Musk’s range assumes a more capable rocket.

Musk has pushed back on higher counts before. In 2021, after a government document suggested 16 launches, he called that “extremely unlikely” and said eight tankers would be the most required.

Much of the answer depends on hardware SpaceX has not finished flying. As Teslarati noted earlier this year, the company plans to carry out the refueling process with its upgraded V3 Starship, and Precourt described Artemis IV as carrying “a large number of firsts.” He also praised NASA Administrator Jared Isaacman’s team for working to clear obstacles for both SpaceX and Blue Origin, whose Blue Moon lander does not rely on orbital refueling for its first mission.

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