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[Updated] Tesla Model X crash in Montana blamed on Autopilot, again
The latest “My Tesla crashed for no reason while on Autopilot” saga continues after a driver claims his Tesla Model X was destroyed when it crashed on a country road in Montana while driving on Autopilot (AP). The discussion took place on the Tesla Motors Club forum with a a friend of the driver whose screen name is Eresan stating,
“Both 2 people on car survived. It was late at night, Autopilot did not detect a wood stake on the road, hit more than 20 wood stakes, tire on front passenger side and lights flyed away. The speed limit is 55, he was driving 60 on autopilot. His car is completely destroyed. The place he had accident does not have cellphone signal, it is 100 miles from the hotel. We are on a 50 people Wechat messenger group. I woke up today saw he managed to get internet to ask people in the Wechat group to call tesla for assistant.”
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Updated July 12, 2016
The company said the Model X alerted the driver to put his hands on the wheel, but he didn’t do it. “As road conditions became increasingly uncertain, the vehicle again alerted the driver to put his hands on the wheel. He did not do so and shortly thereafter the vehicle collided with a post on the edge of the roadway,” the statement said.
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The car traveled around a right hand curve, then went off the road. It traveled about 200 feet on the narrow shoulder, taking out 13 posts, said trooper Jade Shope. No citation was issued to the drivers because the trooper believed any citation would be void if the car was operating on Autopilot as claimed by the driver. That is a fairly curious position for a law enforcement officer to take, since there is no way for authorities to determine at the scene of an accident whether Autopilot actually was or was not activated.
So what happened? Driver error? A computer error? No doubt, Tesla will have information about the crash available soon after it downloads the data stored in the car’s computer. But there already are people on TMC questioning the authenticity of the driver’s claim that Autopilot was engaged in this Model X at the time.
Tesla Model X veers off a country road in Montana via TMC
Several TMC members have commented that using AP on a dark country road with crossroads at 2am in the morning is not a smart thing to do. There are also questions about the speed limit on that section of road. 60 mph seems too fast for conditions under any circumstances. TMC member mrElbe posted, “And I thought Tesla drivers were a bit brighter than the average one out there. But apparently not! Using AP at 2am on a sketchy road is just negligent.”
To which Eclectic responded, “Or even suicidal. I know the area where the accident is said to have happened and it’s not a place for AP use at 2 AM. There are all sorts of animals that cross roads in the area, from deer to antelope to even elk. Whatever the person was doing at 2AM, he or she made a series of bad calls. I couldn’t imagine using AP on I 90 under those conditions, let alone a county road in farm/game country.”
Eresan added a second post several hours later that read, “Just got more photos from the driver. The car was in autopilot at speed between 56-60, the car drove off the road hit the guard rail wood posts. I questioned him how can AP drove off the road himself, he said he also want to find out. Photo attached the wood posts he hit.”
The implication is the driver suspects Autopilot failed and wants an explanation from Tesla. This all comes at a time when the press is buzzing the fatal accident in Florida two months ago and the Model X that rolled over on the Pennsylvania Turnpike last week. NHTSA and NTSB are now conducting investigations that may lead to a tightening of regulations on semi-autonomous systems like Autopilot.
TMC member electricity says, “I’m starting to fear Tesla will limit AP even more and screw it up for the rest of us because of the stupidity of others.” To which zambono replied, “Title [of the thread] should say, ‘Idiot using technology incorrectly crashes vehicle and blames others’.”
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.
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Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
