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SpaceX Dragon XL could double as a crew cabin for lunar space station
A recent modification to SpaceX’s Dragon XL lunar cargo resupply contract with NASA suggests that the spacecraft could be used as an extra crew cabin and bathroom at a lunar space station known as Gateway.
The contract modification was made around April 1st of this year and provided SpaceX around $121,000 to complete the latest study on the potential utility of its expendable Dragon XL spacecraft beyond the primary goal of resupplying a space station orbiting the Moon. Designed to deliver at least five metric tons (~11,000 lb) of pressurized and unpressurized cargo to Gateway, Dragon XL will launch on SpaceX’s own Falcon Heavy rocket – currently the only super heavy-lift launch vehicle in operation – and meant to heavily borrow from hardware and systems already developed for Crew and Cargo Dragon.
NASA first announced its selection of SpaceX for the Gateway Logistics Services (GLS) contract back in March 2020. More than a year later, very little has been said (or visibly done) to progress from that announcement to a true contract – an unusually long period of inactivity for such a significant program.
Of note, as recently as April 2021, NASA officials made it clear that they were still in the cryptic process of “reviewing” the Artemis program, leading to such a long delay between the GLS award announcement and finalization of an actual contract with SpaceX. Of note, back when it was announced, NASA’s nominal plan was to begin Dragon XL cargo deliveries as early as 2024 to support the Artemis Program’s first crewed Moon landing attempt.
Since then, however, other crucial aspects – namely the concept of operations and Human Lander System (HLS) meant to carry astronauts to and from the Moon – have evolved significantly. Weeks after NASA’s GLS announcement, the space agency awarded approximately $1 billion to three prospective HLS providers – SpaceX, Dynetics, and a team led by Blue Origin. A little over a year later, NASA announced a shocking decision to award that initial HLS Moon landing demonstration contract to SpaceX and SpaceX alone.
More or less simultaneously, NASA it made it clear that it was seriously studying the possibility of performing Artemis-3 – the first crewed Moon landing attempt in half a century – without Gateway. Along those lines, the SLS-launched Orion spacecraft and HLS lander (a custom variant of SpaceX’s Starship) would dock directly in lunar orbit instead of separately docking to Gateway to transfer crew. NASA’s decision to solely select Starship as its future Moon lander was so surprising in large part because of how starkly the vehicle’s potential capabilities contrast with the rest of the Artemis Program.
As many have already noted, the very existence of a Starship with capabilities close to what SpaceX is working towards – now a practical inevitability for the company to complete its HLS contract – brings into question the architecture NASA has proposed for Artemis. Currently, the nominal plan is to launch astronauts into an exotic high lunar orbit with NASA’s own SLS rocket and Orion spacecraft – an inconvenient orbit only needed to make up for said spacecraft’s shortcomings. Prior to recent developments, Orion would then dock with Gateway. The HLS vehicle would follow and crew would eventually transfer to the lander, which would then carry 2+ astronauts to and from the surface of the Moon and re-dock with Gateway, followed by Orion returning those astronauts to Earth.
Given that Starship offers enough pressurized volume to rival even the vast International Space Station (ISS) in a single launch, the entire concept of Gateway – an almost inhumanely tiny space station – becomes dubious. If Orion also doesn’t need Gateway to transfer its astronauts to the lander, which NASA has all but confirmed, it’s difficult to see what value Gateway could offer outside of a very expensive technology demonstration. Including a planned Falcon Heavy launch of the first two Gateway segments, station production, and the possible need for expensive Dragon XL cargo deliveries, Gateway could easily end up costing NASA $4-5 billion before it hosts a single astronaut.
NASA is already deeply concerned about the apparent likelihood of Congress systematically underfunding the HLS and Artemis programs outside of SLS and Orion, going as far as selecting just a single HLS provider after clearly indicating a desire for redundancy given enough funding. NASA’s HLS contract with SpaceX is expected to cost around $2.9 billion. The next cheapest option – Blue Origin’s proposal – would reportedly cost around $6 billion. In other words, if NASA were able to stop work and Gateway and redirect that funding elsewhere, it could almost already afford two HLS providers without a larger budget.
Given that NASA has selected SpaceX for HLS and GLS, it’s not impossible to imagine that the space agency is growing increasingly aware that Gateway and Dragon XL look more than a little redundant beside the Starship vehicle NASA itself is now funding SpaceX to realize. For now, though, work on all three programs continue. Most recently, NASA and SpaceX are studying the possibility of adding a toilet and using Dragon XL as an extra crew cabin and bathroom to augment the tiny habitable volume of Gateway’s lone habitat. Only time will tell where the cards ultimately fall.
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
