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SpaceX acquires new photos of Starship landing sites with Mars-orbiting NASA satellite
SpaceX has reaffirmed its prioritization of the Arcadia Planitia – a low Martian plain – and adjacent areas as some of the most promising locations for early Starship landings, tasking a NASA satellite to gather updated photos of six potential landing sites.
First discovered and analyzed by author Robert Zimmerman on August 28th, SpaceX requested the landing site prospecting images from the University of Arizona, tasked with operating NASA’s JPL-built HiRISE spacecraft. Back before Red Dragon’s 2017 cancellation, SpaceX began the process of landing site analysis, a canvassing that ultimately settled on four possible locations, of which the Arcadia Planitia was viewed as most promising.
After at least 2.5 years of research, SpaceX thus appears to be confidently settling on one particular region of Mars for its first Starship landing(s) on the Red Planet. Located in Mars’ mid-northern latitudes, Arcadia Planitia – like its Latin namesake suggests – is a region of plains, specifically low plains per International Astronomical Union (IAU) standards. It has been described by NASA as “one of the few regions [of Mars] where abundant shallow ice is present at relatively low latitude”, desirable for an array of reasons.
Arcadia Planitia takes up much of the left-hand side of this spectacular 2017 panorama, stitched together from Mars Express images by Justin Cowart. On the scale of Martian spectacle, one could be forgiven for perceiving Arcadia as boring. In fact, that’s one of the main reasons SpaceX is interested in it – just as Arcadia looks rather featureless from orbit, it is relatively bereft of the boulder fields common in many other regions of Mars, translating into much less obstacle avoidance during landing.
Additionally, Arcadia Planitia is indeed a region of low plains – one of the lowest regions (relative to the mean surface level) on Mars. This translates into much higher atmospheric pressure (i.e. a thicker atmosphere), insulating the region from some of the extremes of Martian weather, as does its relative adjacency to the planet’s equator. Simultaneously, this wealth of atmosphere enables more efficient spacecraft landings. Per a September 2018 update, Starship is set to rely heavily on a series of atmospheric maneuvers to slow down, a strategy that significantly cuts the amount of propellant the spacecraft must use to land softly on Mars (and Earth!).
To tally: Arcadia Planitia offers (somewhat) warmer summers and winters due to its latitude, augmented by a low relative altitude that insulates the region from weather extremes and enables more efficient propulsive spacecraft landings.
However, perhaps more important than any of the above features is the fact that Arcadia Planitia is host to a vast wealth of water ice resources, ranging from frozen aquifers to glaciers in the adjacent Erebus Montes mountains. Of central importance to SpaceX’s strategy of affordably colonizing and exploring Mars is the decision to produce return propellant – needed for Starships to return to Earth – on Mars, known as in-situ resource utilization (ISRU). Starship’s use of methane and oxygen is almost entirely a result of this – methane is far easier to work with than hydrogen and can also be easily produced from water, as can oxygen.
The cleaner and more accessible the Martian water ice is, the easier it will be for SpaceX robots or astronauts to set up a propellant plant on Mars. Additionally, clean water is extremely expensive to transport in space, and a near-infinite supply of ice-derived water would be extremely useful for all sorts of human outpost needs.
SpaceX CEO Elon Musk believes that the company could be ready for Starship’s first uncrewed Mars launch as early as 2020 or 2022 Hohmann transfer opportunities, windows that permit a uniquely efficient journey from Earth to Mars.
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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.
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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.
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.
Tesla reveals its Cybertruck light bar installation fix
Tesla is already expanding its Rental program aggressively
