News
What comes next for Tesla Autopilot and autonomous driving systems?
The world seems to have oddly realized for the very first time that driving assist systems are still in its infancy stages and haven’t seen the decades of iterations that other technology platforms have had. As to why people have entrusted so much of their safety and lives to the word “autopilot”, going as far as shamelessly playing mahjongg on the internet while behind the wheel, checking their e-mail, and brazenly hopping away from the driver’s seat while their two-ton Autopilot-enabled Tesla drives on its own, goes beyond me.
And it’s because of this lack of human judgment that the statistically inevitable fatal accident behind the wheel of a Tesla may have arrived before its time.
Certainly Elon Musk and Tesla Motors have taken great pains to inform drivers they must remain in control of the car at all times when Autopilot is active. A message on the vehicle’s instrument cluster and warning chime reminds us of this. So why is there such a disconnect between what the system is capable of and what people’s expectations are?
“Everyone in the autonomous vehicle industry understands consumer over-trust is a significant problem,” says John Maddox, CEO of the American Center for Mobility. It is a proposed proving ground for connected and automated vehicles that is under development on 335 acres at Willow Run in Michigan. “No one has an answer to that problem yet, to be perfectly blunt. It’s human nature that when we’re bored with a given task we find something else to occupy our minds. There are ways the industry can look at to maintain driver interest,” Maddox says via USA Today.
Michigan wants to be at the forefront of development for autonomous driving systems and connected cars. “These technologies will be significantly better when the vehicles can ‘talk’ to each other and to signals in traffic lights and elsewhere,” says Kirk Steudle, director of the Michigan Department of Transportation. MDOT is working with General Motors, Ford, and the University of Michigan to deploy vehicle-to-infrastructure communication technology on more than 120 miles of metro Detroit roadway.
But the infrastructure to support connected car technology is still decades away. Those 120 miles of roads in Detroit are a minuscule proportion the millions of miles of roads in the US.
In the meantime, drivers need to be better educated about what systems like Tesla’s Autopilot can and cannot do.
In the wake of Joshua Brown’s fatality, the NHTSA is expected to issue its first set of regulations for semi-autonomous cars in the fall of this year. The Senate Commerce Committee has decided the highest and best use of taxpayer dollars is to launch its own investigation. Its chairman, John Thune, Republican of South Dakota, has sent a request to Tesla to come and tell the committee what it is doing to prevent more fatal accidents. Apparently, Senator Thune thinks the members of his committee must weigh in on this issue while the headlines are there to be had, rather than waiting for NHTSA and NTSB to finish their investigations.
“An informed consumer is the best consumer,” MDOT’s Steudle said. “They really need to understand the limitations of what the technology can do currently. There’s a lot of information out there about where it can take us. But it’s not there yet.”
Strategies to reduce driver expectations might be a wise course of action for Tesla to follow at this juncture.
Cybertruck
Tesla reveals its Cybertruck light bar installation fix
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.
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.
News
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.
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.
🚨🚨 If you look up details on the Tesla Rental program on Google, you’ll see a bunch of sites saying it’s because of decreasing demand 🤣 pic.twitter.com/WlSQrDJhMg
— TESLARATI (@Teslarati) November 10, 2025
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.
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.
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.
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.
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.