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Tesla crash leads NTSB to begin probe of autonomous driving technology

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The echoes of the Autopilot crash that killed Joshua Brown on May 7 are still reverberating. Not only is the National Highway Transportation Safety Administration conducting an investigation, now the National Transportation Safety Board (NTSB) is getting into the act. NHTSA chief Mark Rosekind and Transportation Secretary Anthony Fox have expressed approval of autonomous driving technology. With more than 80% of the 34,000 highway deaths in the US every year attributed to human error, they recognize the power of new safety system to reduce the carnage on America’s roadways.

The NTSB on the other hand has warned that such systems can lead to danger because they lull drivers into complacency behind the wheel. Missy Cummings, an engineering professor and human factors expert at Duke University, says humans tend to show “automation bias,” a trust that automated systems can handle all situations when they work 80% of the time.

According to Automotive News, NTSB will send a team of five investigators to Florida to probe the of Joshua Brown after his Tesla Model S while driving on Autopilot crashed into a tractor trailer. “It’s worth taking a look and seeing what we can learn from that event, so that as that automation is more widely introduced we can do it in the safest way possible,” says Christopher O’Neil, who heads the NTSB.

“It’s very significant,” says Clarence Ditlow, executive director of the Center for Auto Safety, an advocacy group in Washington, DC. “The NTSB only investigates crashes with broader implications.” He says the action by the NTSB is significant. “They’re not looking at just this crash. They’re looking at the broader aspects. Are these driverless vehicles safe? Are there enough regulations in place to ensure their safety” Ditlow adds, “And one thing in this crash I’m certain they’re going to look at is using the American public as test drivers for beta systems in vehicles. That is simply unheard of in auto safety,” he said.

That is the crux of the situation. Tesla obviously has the right to conduct a beta test of its Autopilot system if only other Tesla drivers were involved. The question is whether it has the same right to do so on public roads with other drivers who are not part of the beta test and who are unaware than an experiment is taking place around them as they drive?

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For its part, Tesla steadfastly maintains that “Autopilot is by far the most advanced driver-assistance system on the road, but it does not turn a Tesla into an autonomous vehicle and does not allow the driver to abdicate responsibility. Since the release of Autopilot, we’ve continuously educated customers on the use of the feature, reminding them that they’re responsible for remaining alert and present when using Autopilot and must be prepared to take control at all times.”

That’s all well and good, but are such pronouncements from the company enough to overcome that “automation bias” Professor Cummings refers to?  Clearly, Ditlow thinks not. What the NTSB decides to do, if anything, after it completes its investigation could have a dramatic impact on self driving technology both in the US and around the world. Regulators in other countries will place a lot of weight on what the Board decides.

From Tesla’s perspective, they will want to know if the death of one person is reason enough to delay implementation of technology that could save 100,000 or more lives each year worldwide. The company is racing ahead with improvements to its Autopilot system. Just the other week a Tesla Model S was spotted testing near the company’s Silicon Valley-based headquarters with a LIDAR mounted to its roof.

NTSB has a lot of clout when it comes to promulgating safety regulations. It will be hard pressed to fairly balance all of the competing interests involved in the aftermath of the Joshua Brown fatality.

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Cybertruck

Tesla reveals its Cybertruck light bar installation fix

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u/Kruzat, see page for license, via Wikimedia Commons

Tesla has revealed its Cybertruck light bar installation fix after a recall exposed a serious issue with the accessory.

Tesla and the National Highway Traffic Safety Administration (NHTSA) initiated a recall of 6,197 Cybertrucks back in October to resolve an issue with the Cybertruck light bar accessory. It was an issue with the adhesive that was provided by a Romanian company called Hella Romania S.R.L.

Tesla recalls 6,197 Cybertrucks for light bar adhesive issue

The issue was with the primer quality, as the recall report from the NHTSA had stated the light bar had “inadvertently attached to the windshield using the incorrect surface primer.”

Instead of trying to adhere the light bar to the Cybertruck with an adhesive, Tesla is now going to attach it with a bracketing system, which will physically mount it to the vehicle instead of relying on adhesive strips or glue.

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Tesla outlines this in its new Service Bulletin, labeled SB-25-90-001, (spotted by Not a Tesla App) where it shows the light bar will be remounted more securely:

The entire process will take a few hours, but it can be completed by the Mobile Service techs, so if you have a Cybertruck that needs a light bar adjustment, it can be done without taking the vehicle to the Service Center for repair.

However, the repair will only happen if there is no delamination or damage present; then Tesla could “retrofit the service-installed optional off-road light bar accessory with a positive mechanical attachment.”

The company said it would repair the light bar at no charge to customers. The light bar issue was one that did not result in any accidents or injuries, according to the NHTSA’s report.

This was the third recall on Cybertruck this year, as one was highlighted in March for exterior trim panels detaching during operation. Another had to do with front parking lights being too bright, which was fixed with an Over-the-Air update last month.

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Tesla is already expanding its Rental program aggressively

The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.

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Credit: Grok

Tesla is looking to expand its Rental Program aggressively, just weeks after the program was first spotted on its Careers website.

Earlier this month, we reported on Tesla’s intention to launch a crazy new Rental program with cheap daily rates, which would give people in various locations the opportunity to borrow a vehicle in the company’s lineup with some outrageous perks.

Along with the cheap rates that start at about $60 per day, Tesla also provides free Full Self-Driving operation and free Supercharging for the duration of the rental. There are also no limits on mileage or charging, but the terms do not allow the renter to leave the state from which they are renting.

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The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.

Job postings from Tesla now show it is planning to launch the Rental program in at least three new states: Texas, Tennessee, and Massachusetts.

The jobs specifically are listed as a Rental Readiness Specialist, which lists the following job description:

“The Tesla Rental Program is looking for a Rental Readiness Specialist to work on one of the most progressive vehicle brands in the world. The Rental Readiness Specialist is a key contributor to the Tesla experience by coordinating the receipt of incoming new and used vehicle inventory. This position is responsible for fleet/lot management, movement of vehicles, vehicle readiness, rental invoicing, and customer hand-off. Candidates must have a high level of accountability, and personal satisfaction in doing a great job.”

It also says that those who take the position will have to charge and clean the cars, work with clients on scheduling pickups and drop-offs, and prepare the paperwork necessary to initiate the rental.

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The establishment of a Rental program is big for Tesla because it not only gives people the opportunity to experience the vehicles, but it is also a new way to rent a car.

Just as the Tesla purchasing process is more streamlined and more efficient than the traditional car-buying experience, it seems this could be less painful and a new way to borrow a car for a trip instead of using your own.

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Elon Musk

Elon Musk’s xAI gains first access to Saudi supercluster with 600k Nvidia GPUs

The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.

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A Saudi-backed developer is moving forward with one of the world’s largest AI data centers, and Elon Musk’s xAI will be its first customer. The project, unveiled at the U.S.–Saudi Investment Forum in Washington, D.C., is being built by Humain, a company supported by Saudi Arabia’s Public Investment Fund. 

The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.

xAI secures priority access

Nvidia CEO Jensen Huang stated that the planned data center marks a major leap not just for the region but for the global AI ecosystem as a whole. Huang joked about the sheer capacity of the build, emphasizing how unusual it is for a startup to receive infrastructure of such magnitude. The facility is designed to deliver 500 megawatts of Nvidia GPU power, placing it among the world’s largest AI-focused installations, as noted in a Benzinga report.

“We worked together to get this company started and off the ground and just got an incredible customer with Elon. Could you imagine a startup company, approximately $0 billion in revenues, now going to build a data center for Elon? 500 megawatts is gigantic. This company is off the charts right away,” Huang said.

Global Chipmakers Join Multi-Vendor Buildout To Enhance Compute Diversity

While Nvidia GPUs serve as the backbone of the first phase, Humain is preparing a diversified hardware stack. AMD will supply its Instinct MI450 accelerators, which could draw up to 1 gigawatt of power by 2030 as deployments ramp. Qualcomm will also contribute AI200 and AI250 data center processors, accounting for an additional 200 megawatts of compute capacity. Cisco will support the networking and infrastructure layer, helping knit the multi-chip architecture together.

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Apart from confirming that xAI will be the upcoming supercluster’s first customer, Musk also joked about the rapid scaling needed to train increasingly large AI models. He joked that a theoretical expansion one thousand times larger of the upcoming supercluster “would be 8 bazillion, trillion dollars,” highlighting the playful exaggeration he often brings to discussions around extreme compute demand.

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