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Elon Musk says SpaceX could catch Crew Dragon and NASA astronauts with a giant net
Shortly after SpaceX flawlessly completed Crew Dragon’s In-Flight Abort (IFA) test earlier today, CEO Elon Musk – speaking at a post-launch press conference – revealed that SpaceX wants to try to catch future Dragon spacecraft with the same ships – and giant nets – it uses to recover Falcon fairings.
This is not the first time Musk has mentioned such a plan. Back in February 2018, he noted that SpaceX ship Mr. Steven (now Ms. Tree), designed to catch parasailing fairing halves out of the air, “might be able to do the same thing with Dragon — if NASA wants us to, we can try to catch Dragon.” The motivation behind catching Dragon – instead of fishing it out of the Atlantic Ocean – is effectively the same reason that SpaceX is trying to routinely catch Falcon fairings: it’s much easier to reuse aerospace hardware that hasn’t been dunked and soaked in saltwater.
Of course, Musk cautioned that SpaceX would only pursue Dragon catches if NASA were open to the idea – the space agency’s conservatism is already largely responsible for the death of propulsive Crew Dragon landing, also intended to make spacecraft reuse much easier. Additionally, the CEO qualified his comments by noting that SpaceX would attempt to catch Crew Dragon only after Falcon fairing halves are being routinely and reliably caught.
As it turns out, both fairing recovery ships Ms. Tree and Ms. Chief are set to attempt their second simultaneous fairing catch less than 48 hours from now.
Ms. Tree and Ms. Chief actually departed their Port Canaveral home berths on the evening of January 18th, barely 12 hours before Falcon 9 B1046 lifted off for fourth and final time and was sacrificed for a thankfully flawless Crew Dragon abort test. The fast recovery ships – each outfitted with a giant net – are scheduled to attempt their second-ever simultaneous recovery of both halves of a Falcon 9 payload fairing.
Barely 48 hours after Crew Dragon’s IFA test, SpaceX has another Falcon 9 launch scheduled to lift off as early as 11:59 am EST (16:59 UTC) on Monday, January 21st. The mission will be SpaceX’s second Starlink satellite launch and third launch overall this month and is set to place the fourth batch of 60 Starlink internet satellites into low Earth orbit (LEO). Like all SpaceX satellite launches, the mission – Starlink V1 L3 or the third launch of Starlink v1.0 spacecraft – will feature a standard Falcon 9 fairing.
Around three minutes after liftoff, said fairing will separate into its two halves, deploying from the top of Falcon 9 and beginning a 100+ km (63+ mi) journey back to Earth. For SpaceX’s unique payload fairing, that journey includes reorienting with cold-gas thrusters, deploying a GPS-guided parafoil, and attempting to gently land in a giant net carried on the back off a ship.
Thus far, SpaceX has attempted to catch Falcon fairing halves nine separate times, resulting in two successful catches in June and August 2019. Two subsequent catch attempts in December 2019 and January 2020 were unsuccessful, a strong sign that SpaceX still has a ways to go before fairing catches are as routine and reliable as Falcon booster recovery.
As such, it’s unlikely that Ms. Tree or Ms. Chief will be catching Crew or Cargo Dragon capsules anytime soon. Still, it’s increasingly clear that every fairing catch attempt will also represent a potential step towards the goal of keeping Dragons and the NASA astronauts they’ll carry as dry as possible.
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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
