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SpaceX Dragon XL could double as a crew cabin for lunar space station

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5 years ago

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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.

Dragon XL contract supplemental agreement: crew compartment and waste management study
byu/cohberg inspacex

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.

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SpaceX’s Starship to return humanity to the Moon in stunning NASA decision

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.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk reveals unfortunate truth of Tesla Full Self-Driving development

In a candid reply to a dramatic video of Tesla’s Full Self-Driving (FSD) system averting disaster, Elon Musk laid bare a harsh reality facing autonomous vehicle technology.

Published

1 hour ago

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April 7, 2026

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Tesla’s Full Self-Driving suite is one of the most significant technological developments in terms of passenger travel in decades, but it is not all sunshine and rainbows, even with major strides in safety, CEO Elon Musk revealed.

In a candid reply to a dramatic video of Tesla’s Full Self-Driving (FSD) system averting disaster, Elon Musk laid bare a harsh reality facing autonomous vehicle technology.

The clip shows a Model 3 traveling at over 65 mph on a foggy, rain-soaked highway when a pedestrian suddenly steps into traffic.

Full Self-Driving instantly detects the threat and swerves safely, preventing what could have been a fatal collision for both the pedestrian and the driver’s cousin.

Musk’s response was unequivocal:

“Tesla self-driving saves a lot of lives – the statistics are unequivocal. That doesn’t mean it’s perfect, of course.” Even with a projected 10x safety improvement over human drivers, FSD would still prevent roughly 90% of the world’s approximately one million annual auto fatalities. The remaining 10%—roughly 100,000 deaths—would expose Tesla to relentless lawsuits. Meanwhile, the vast majority of lives saved would go unnoticed. “The 90% who are still alive mostly won’t even know that Tesla saved them. Nonetheless, it is the right thing to do.”

This “unfortunate truth,” as Musk implicitly framed it, highlights a fundamental asymmetry in how society perceives safety technology. Human drivers cause the overwhelming majority of crashes through distraction, fatigue, or error.

Yet when FSD errs, the incident becomes headline news and a courtroom target. Prevented tragedies, by contrast, leave no trace.

Survivors simply continue their journeys, unaware of the split-second intervention that kept them alive. The result is a distorted public narrative that amplifies failures while rendering successes invisible.

We have seen this through various headlines throughout the years, including the mainstream media’s obsession with only mentioning the manufacturer’s name in the instance of an accident when it is “Tesla.”

Opinion: Tesla Autopilot NHTSA investigation headlines are out of control

The video’s real-world example underscores FSD’s current capabilities. In near-zero visibility, the system’s cameras and neural network reacted faster than any human could, demonstrating the life-saving potential Musk cites.

Tesla’s latest safety data already shows FSD (Supervised) performing significantly better than the U.S. average, with crashes occurring far less frequently per mile driven.

Still, regulatory scrutiny, liability concerns, and media focus on edge-case failures continue to slow widespread adoption. Musk’s frank admission suggests Tesla is prepared to push forward despite the legal and perceptual headwinds.

As FSD edges closer to unsupervised autonomy, Musk’s post serves as both a progress report and a reality check. The technology is already saving lives today.

The unfortunate truth is that proving it and scaling it responsibly will require society to value statistical lives saved as much as dramatic stories of those lost. In the race toward safer roads, perception may prove as formidable an obstacle as the fog and rain in that viral video.

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Tesla Full Self-Driving v14.3: First Impressions

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3 hours ago

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April 7, 2026

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Tesla started rolling out Full Self-Driving v14.3 to Early Access Program (EAP) members earlier today, and I had the opportunity to see some of the improvements that were made from v14.2.2.5.

While a lot of things got better, and I truly enjoyed using Full Self-Driving again after being stuck with the widely confusing and frustrating v14.2.2.5, Tesla still has one major problem on its hands, and it has to do with Navigation and Routing. I truly believe those issues will be the biggest challenges Tesla will face with autonomy: the car simply going the correct way, not conflicting with what the navigation says, and taking the simplest and most ideal route to a destination.

Here’s what I noticed as an improvement with my first hour with v14.3. This is not a full review, nor is it reflective of everything I will likely experience with this new version. This is simply what I saw as a noticeable improvement from the past version, v14.2.2.5.

There is also a more streamlined version on X, available at the thread below:

Yellow Light Behavior is Significantly Better

On v14.2.2.5, I had so many instances of the car slamming the brakes on to stop at a yellow light when it was clearly the safer option to proceed through. There were several times when the car would be about 20 feet from the line, traveling at 15-20 MPH, the light would turn yellow, and it would slam the brakes to stop. I would nudge it through yellow lights constantly because of this by putting my foot on the accelerator.

The instances I’m talking about here would not have been close calls — the car would have likely moved through the intersection completely before the light would turn red.

On multiple occasions this evening, FSD proceeded through yellow lights safely, without hesitation or any brake stabbing. It was refreshing:

This was a huge complaint with v14.2.2.5. Sometimes, it’s a safer option to go through a yellow light, especially when you have traffic behind you. It’s a great way to get rear-ended.

Parking Performance

I had four instances of parking, and FSD v14.3 really did a flawless job. I was very impressed with how solid it was, but also with how efficiently it moved into the spot. When there was traffic around with past versions, I usually chose to park manually just because FSD took its time getting into a spot. I don’t see that being an issue anymore.

I complained about parking a lot and shared several images on X and Facebook of those examples:

No issues with it this evening. 4/4. Here are two looks:

Highway Performance

FSD v14.3 passed the five cars shown in this image:

The sixth was 200-300 yards ahead of the fifth. In v14.2.2.5, FSD would usually stay in the left lane, especially on Hurry and Mad Max. It did not do that, as it instead chose to get back over in the right lane after passing the final car.

Speed was not much of a concern here, even though it was going 21 MPH over. Although it was fast, I did have a line of cars behind me traveling at the same speed, and FSD had just merged about a half mile prior, so I chose to let it continue.

There were no instances of camping in the left lane for extended periods of time. I do want to do more testing with the Speed Profiles because they were in need of some work with the previous version. I am starting to side with those who want a Max Speed setting, which was removed last year.

Navigation and Routing Still Need Work

I was heading back toward where I came from, so I turned “Avoid Highways” on to take a different way. This confused the Routing system, and instead of turning left, then right, as the Routing said, the car turned right, then indicated for another right, basically going in a big rectangle. The car ignored the second right-hand turn and continued straight. I ended up turning “Avoid Highways” off and letting the car pick the same routing option as what took me here.

I have truly complained so much about Navigation and Routing that I’m starting to feel sort of bad. It is obviously such a massive challenge for some reason, but I am confident it will improve. I recall seeing Tesla hiring someone for this role a few months back, so perhaps there is hope for it to get better.

Smarter Behavior When Approaching Exits/Routing

This probably should be grouped in with Highway Behavior, but I wanted to highlight it on its own.

The highway exit pictured was always frustrating for v14.2.2.5. In the Hurry speed profile, I have seen it try to execute passes on multiple cars with as little as 0.6 miles to spare before taking the exit.

With three cars ahead of it, it chose to reduce speed and just wait until the exit. It was refreshing to see an improvement here, so I hope this behavior persists. Sometimes there’s just no reason to pass when you’re less than a mile from getting off the highway anyway.

Larger Visibility Warnings

Tesla seems to have increased the size of these “Camera Visibility Limited” warnings. Previously, they were just small thumbnails:

Stop Sign Behavior

This is probably the biggest improvement of all, because how it behaved at Stop Signs in v14.2.2.5 was so incredibly terrible and disruptive to the flow of a busy intersection.

There are several four-way, all-stop intersections near me. In the past, FSD would stop well behind the Stop Sign or the white-painted line on the road. It would then inch forward, stopping again at this line, essentially making two stops at a single intersection.

If there is visibility, I don’t truly care where FSD stops, as long as it stops once. Stopping twice just isn’t ideal or logical. I can’t imagine many humans would do it, I know I wouldn’t.

I didn’t have that issue this evening:

This was pretty tight, too, in the sense that both my car and the other one got to the intersection at the same time. FSD may have stopped first, but the other vehicle was probably around the same point that I was when FSD decided to stop. I was happy to see the assertiveness to proceed; it felt like it was ideal to just go through. I was happy it didn’t stop a second time up at the line. I’d be fine if it stopped at the line, as long as that was the only stop it made.

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Tesla Full Self-Driving v14.3 rolls out: here’s what’s new

We are in EAP and will be on the road with v14.3 in the coming hours, so we’ll have a lot of things to discuss over the next few days, especially coming from v14.2.2.5, which I called the most “confusing” FSD release of all time.

Published

8 hours ago

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April 7, 2026

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Tesla has officially started rolling out Full Self-Driving v14.3 to Early Access Program (EAP) members, and there are a lot of new improvements.

We are in EAP and will be on the road with v14.3 in the coming hours, so we’ll have a lot of things to discuss over the next few days, especially coming from v14.2.2.5, which I called the most “confusing” FSD release of all time.

Tesla brought out a lot of improvements, according to the v14.3 release notes, which list a vast number of fixes, new features, and new capabilities.

Here’s what Tesla’s release notes for the v14.3 release state:

  • Improved parking location pin prediction, now shown on a map with a P icon.
  •  Increased decisiveness of parking spot selection and maneuvering.
  • Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
  • Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
  • Mitigated unnecessary lane biasing and minor tailgating behaviors.
  • Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
  • Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet.
  • Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
  • Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
  • Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
  • Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.

Tesla also listed a handful of future improvements as well:

  • Expand reasoning to all behaviors beyond destination handling
  • Add pothole avoidance
  • Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting situations

CEO Elon Musk has said that v14.3 could be “where the last big piece of the puzzle finally lands.” We have high expectations for this release because, in a lot of ways, v14.2’s final version was extremely disappointing and seemed to be a regression more than anything.

Nevertheless, Full Self-Driving v14.3 is going to be quite an interesting test, considering this is also the first time Musk has stated it will feel like the car will be “sentient.”

Reasoning will be a bigger piece of the puzzle with this release, although there were some elements of it in v14.2.

Tesla AI Head says future FSD feature has already partially shipped

We plan to travel plenty of miles with it over the next few days, so we’ll keep you posted on what our thoughts are.

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