News
SpaceX gears up for Crew Dragon’s first recovery with a giant inflatable cushion
Paired with observations and comments from sources familiar with the company, all signs seem to indicate that SpaceX is planning to recover their first Crew Dragon spacecraft with a giant inflatable cushion, to be towed a hundred or so miles off the coast of California by one of the company’s Port of LA-stationed recovery vessels.
Despite a minor mishap during some sort of inaugural sea-trial of a custom Crew Dragon mass simulator, SpaceX technicians are pushing ahead with a test campaign intended properly characterize exactly how to best recover a Dragon while side-stepping around the problems caused by seawater immersion.
Inside the clean room at SpaceX HQ, Crew Dragon is nearing completion. This will be the capsule to make the first crewed flight, currently slated for April 2019.#spacex #CrewDragon @Teslarati pic.twitter.com/tjzuwfGV2O
— Pauline Acalin (@w00ki33) August 16, 2018
Why recover your Dragon?
First off, why would SpaceX choose to develop a new method of Dragon recovery – different than the company’s current experience with simply landing the capsules in the ocean – with the expectation that it will debut during the recovery of Crew Dragon after its very first demonstration mission (DM-1)? A huge number of unknowns and major questions remain, but the decision to attempt to avoid seawater immersion during the DM-1 Dragon recovery is very likely no coincidence.
Over the last several years, SpaceX engineers and technicians have learned a huge amount from recovering, refurbishing, and even reusing Cargo Dragons to resupply the International Space Station for NASA. Of all the lessons learned, the most unequivocal has to be a newfound appreciation for just how difficult it is to safely and reliably reuse spacecraft and rocket components after landing and being immersed in seawater. Despite SpaceX’s growing experience with reusing both Falcon 9 and Cargo Dragon, Dragons still typically require a bare minimum of 6-12 months of refurbishment before they are ready for another launch.
- SpaceX’s CRS-13 Cargo Dragon, capsule C108, seen near the end of its refurbishment. (SpaceX)
- A reused orbital spacecraft, Cargo Dragon, back on Earth after its second successful resupply mission. (SpaceX)
- All Crew and Cargo Dragons are built and refurbished in the same processing facility, a clean-room inside SpaceX’s Hawthorne, CA factory. (SpaceX)
For Crew Dragon’s DM-1 debut, it thus makes sense that SpaceX wants to recover the spacecraft in such a way that it is exceptionally easy to rapidly refurbish. Perhaps just several months after that capsule returns to Earth, currently expected no earlier than December 2018, SpaceX’s first crewed Crew Dragon demonstration’s tentative April 2019 launch debut will depend entirely on the completion and review of an In-Flight Abort (IFA) test planned just one month prior, March 2019.
The planned IFA test of Crew Dragon hinges entirely on DM-1 and Dragon refurbishment because the present plan (and launch schedule) absolutely depends on reflying DM-1’s Crew Dragon capsule, potentially recovered from orbit as few as three months prior.

With a successful 2015 Pad Abort already under Crew Dragon’s belt, SpaceX voluntarily chose to conduct an additional complimentary in-flight abort not explicitly required by NASA, designed to demonstrate that Dragon will be able to safely extract astronauts from a failing rocket at the point of peak aerodynamic pressure (Max-Q). Essentially, a combination of successful aborts both on the launch pad and during Max-Q would theoretically demonstrate beyond any reasonable doubt that Crew Dragon really is capable of safely aborting a launch and protecting its astronauts at any point during launch.
Cargo Dragon has demonstrated that – apparently – no amount of heroics can refurbish the recovered spacecraft in just a small handful of months after seawater immersion, not without major changes to its design. As such, preventing that with some sort of inflatable cushion (or even Mr Steven’s net) would likely save many months of drying, cleaning, and requalification testing of all externally impacted components.
- Cargo Dragon returns to Earth looking rather well-done. (SpaceX)
- The first spaceworthy Crew Dragon capsule is already in Florida, preparing for its November 2018 launch debut. The same capsule will be refurbished and reflown as few as three months after recovery. (SpaceX)
- SpaceX Crew Dragon capsule C203 – then assigned DM-2 – is seen here in August 2018. (Pauline Acalin)
How to recover your Dragon
While the “why” is fairly obvious at this point, the “how” of actually making such a cushioned recovery happen is far less clear. Still, we at least know from several recent comments from SpaceX CEO Elon Musk and statements made in environmental impact analyses that the company has been considering such recoveries for some time.
Despite the fact that Crew Dragon’s original propulsive landing capability was nixed due to the unlikelihood of NASA ever certifying it for crewed landings and the expense required to attempt that certification, there is still clearly some latent interest (and value) in precisely landing Crew Dragon, even if only to speed up capsule and crew recovery after splashdown. A March 2018 preliminary environmental impact analysis of Gulf of Mexico Dragon recoveries – as a backup to bad weather in the Pacific and Atlantic – made the interest in precision exceptionally clear.
“The splashdown zone is a circle with a radius of approximately 5.4 nautical miles. … Dragon has been designed to perform precision landings in order to minimize the size of the splashdown zone and recovery time.”
Admittedly, a circle with a diameter of 10.8 nautical miles (20 km) does not exactly scream “precision” and ~20 km is likely around a thousand times less precise than what’s needed to land on the 30m-diameter inflatable structure present at Berth 240, but it’s probable that the splashdown zone as discussed is a worst-case scenario meant to give SpaceX’s recovery team plenty of wiggle room.
- Crew Dragon was originally designed with propulsive landings in mind, much like Falcon 9’s booster recovery. (SpaceX)
- In place of propulsive landing, it appears that a giant inflatable cushion is the new solution for quick reuse. (Pauline Acalin)
Musk also took a few seconds of a Falcon Heavy post-launch press conference to briefly describe Mr Steven, and he just so happened to touch on fairing and Dragon recovery:
“And we’ve got a special boat to catch the fairing. … It’s like a giant catcher’s mitt in boat form. I think we might be able to do the same thing with Dragon. So…if NASA wants us to, we can try to catch Dragon. Literally, it’s meant for the fairing, but it would work for Dragon, too.” – Elon Musk
Mr Steven takes one for the team
Even more experimental than fairing recovery, SpaceX happened to experience a minor incident while attempting to test aspects of its prototype Dragon catcher apparatus in early August. Partially captured by Teslarati photographer Pauline Acalin, SpaceX technicians were lifting a Crew Dragon heatshield mass simulator with a healthy topping of buoys onto Mr Steven. Moments after it was lowered onto the deck, the whole setup disappeared below the vessel’s side rails in a massive boom.
- The Crew Dragon mass simulator is loaded onto Mr Steven for the first time, August 3rd. (Pauline Acalin)
- Shortly after touchdown, the mass sim disappeared with a deafening boom, presumably breaking through Mr Steven’s wooden deck. (Pauline Acalin)
- SpaceX technicians lift a Crew Dragon mass simulator off of Mr Steven’s deck after accidentally breaking it. (Pauline Acalin)
According to sources familiar with SpaceX’s recovery fleet, the mishap was much less severe than the deafening noise it produced seemed to indicate from the sidelines. They described the aftermath as “an annoying accident” that was unlikely to take any significant amount of time to repair. More likely than not, Mr Steven’s wooden deck suffered some level of structural degradation after several years of active use, something that SpaceX technicians only discovered after loading (or maybe dropping) a heavy Dragon mass simulator aboard.
Regardless, one could certainly say that the test in question was more or less a success, as it most certainly demonstrated whether Mr Steven’s deck was actually capable of supporting the heavy test article (it was not). A few repairs and structural reinforcements later, the vessel is likely already back in working order, with photos taken on August 19th showing that the focus has returned to the vessel’s arms (two of which must have been removed earlier this week).

For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
News
Tesla ships ‘spooky’ Halloween Mode with creepy and fun features
Tesla is now starting to ship a “Halloween Mode” that is filled with some creepy and fun features; the company says, “This spooky update turns your Tesla into a haunted house on wheels.”
The update is just the latest in a series of updates that Tesla typically ships out in a seasonal fashion. The Spring and Summer Updates provided some fun novelty items while also packing some cool features that are actually useful for the ownership experience.
This one seems to be more fun-forward, and there are not any updates to the Full Self-Driving suite or overall operation of the vehicle. Instead, these novelty features are geared toward getting you in the mood for the Fall and Halloween.
Halloween Mode now rolling out 🎃
This spooky update turns your Tesla into a haunted house on wheels
– Ghost costume on your car’s avatar
– Enable Trick or Treat to play spooky sounds & flicker the lights when visitors approach
– New haunting light show, wraps & lock sound
– A rather chilling Photobooth
– Frighten people remotely by speaking through the app…your car will say it in a voice of its own
Side effects may include neighborhood notoriety
— Tesla (@Tesla) October 6, 2026
New Ghost Costume on Car Avatar
Driver Visualization will now show your vehicle as a ghost, as an all-white sheet is draped over the vehicle. Pedestrians are turned into mummies or skeletons, and other vehicles are all a spooky green:

Credit: Tesla
Additionally, the Park Scene with your Tesla now displays that ghost costume draped over your vehicle in the foreground of a scary backdrop with Jack-o-Lanterns and a haunted house:

Credit: Tesla
Trick or Treat Mode
Trick or Treat Mode will enable the vehicle to play spooky sounds and flicker the lights as visitors approach. This might be a nice touch for when you’re handing out candy to kids on Halloween Night.
Other Features
Tesla is also adding a new Light Show, new Wrap Options, and a new Lock Sound with this update.

Credit: Tesla
Additionally, Photobooth has a new Halloween option:

Credit: Tesla
You will also be able to speak remotely through the app and transmit your voice to people outside, which is not a new feature, but the car will say it in a voice of its own, which is a new feature with that bullhorn-like feature.
Investor's Corner
SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions
SpaceX reveals plans for one million Starmind AI satellites and calls out operators hiding maneuvers.
SpaceX has put the largest satellite count it has ever published into writing, and it says that plan only works if every other operator in orbit starts sharing what it knows.
In a new Space Safety page highlighted Tuesday morning by Sawyer Merritt on X, SpaceX said it “plans to operate up to 100,000 Starlink satellites and up to 1 million Starmind AI satellites to meet the growing demand for broadband and supercompute.” Starlink has a little over 11,000 satellites in orbit today, so the target alone implies roughly a ninefold expansion of the broadband network.
Starmind is SpaceX’s orbital AI compute constellation. Elon Musk confirmed the Starmind name in June after an xAI trademark filing surfaced, and in August SpaceX said it was working with Nvidia on the compute payload. The FCC accepted the filing for up to one million satellites back in February.
FCC accepts SpaceX filing for 1 million orbital data center plan
SpaceX also released a new render of what a full Starmind constellation could look like. Alongside it, SpaceX VP Michael Nicolls explained why the satellites will not operate on their own. “We need to operate clusters of satellites in tight formation to get enough coherent compute to run AI models efficiently,” Nicolls said. “A cluster will be 10-ish satellites connected with 10 terabits or so of bandwidth between them, and interconnected to the broader constellation.”
That is the most specific detail SpaceX has given on how Starmind will be built. Instead of a million independent servers, the network would work as tightly packed groups of about 10 satellites acting as one compute unit, with Starlink’s laser links carrying results back to Earth.
There is a bright and exciting future for humanity ahead – and space is fundamental to that future.
To achieve this, space safety must be done right. We encourage every operator to not only share ephemeris data proactively the same way Starlink already does, but to also adopt the high standards of space safety that SpaceX and Starlink use every day → https://t.co/QizAkQZvEm
— Starlink (@Starlink) October 6, 2026
Packing satellites that close together, at that scale, makes collision avoidance the central problem, and most of the Space Safety page is aimed at other operators. SpaceX said Starlink encountered collision risks with about 650 unique maneuvering third party satellites in 2026, and only about half of them shared data. Over six months, Starlink recorded roughly 164,000 more collision risks where the closest approach came within four hours of an unannounced maneuver.
Some operators keep maneuver plans private over proprietary concerns, while others cannot get government permission to share them. SpaceX called those policies “counterproductive,” saying they “largely only serve to create preventable collision risk between satellites.” Starlink is also offering a free ephemeris sharing and screening platform that returns risk results within a minute, backed by its Stargaze network of 30,000 optical sensors.
The push comes as the Starmind application draws opposition from astronomers and environmental groups. In a September filing with the FCC, SpaceX said each Starmind satellite could weigh up to 4,000 kg, nearly seven times the mass of a Starlink V2 Mini. Musk has brushed off crowding concerns before, telling viewers in June that “space is enormous” and that SpaceX already knows how to run very large constellations safely.
SpaceX’s Starmind page says its Gigasat factory in Bastrop, Texas, is designed to produce AI satellites at scale, with deployment of thousands of units starting as soon as late 2027.
News
Five things that are keeping Tesla Full Self-Driving supervised
Tesla Full Self-Driving is really good. I have used it for over 76 percent of my driving since FSD v14 launched around this time last year, equating to about 76 percent of my miles using the suite. It’s truly the only way I prefer to travel, but admittedly I save some of the more fun drives for myself.
Even with all of the great things it has done for me, including saving me from being involved in an accident, there are still a handful of things that it needs to improve on. These issues recur from update to update, and while there have been some improvements, they still give me reasons to either soft or hard intervene.
A soft intervention means an adjustment that is needed without disengaging the suite, like manually using a turn signal to change lanes while the car still operates on FSD. What I’d consider to be a “hard intervention” is anything that requires me to disengage the suite altogether, like missing a turn or performing a maneuver I’m uncomfortable with. Of course, some hard interventions will be subjective.
Here are the five things I’d like to see Tesla really focus on through the final versions of v14 and hope to see completely improved with v15.
Speed Limit Recognition and Adjustment
There are entirely too many instances of FSD traveling at a speed that is just totally outrageous. While some of these events can occur on Hurry Mode, I’ve even had issues with it on Standard from time to time, and despite wanting more aggressive maneuvers or a slight bit of urgency, I don’t want to worry about getting a ticket while doing it.
The two areas I notice it the most are in school zones and on local roads. When a Speed Limit changes from 45 to 35, FSD does not always slow down in a way that would appease local law enforcement. On Hurry, 52-55 is pretty standard for a rate of travel in a 45 MPH zone. When it changes to 35, FSD shows zero urgency to slow down to an appropriate speed.
School Zones have been a true pain point, and as recently as last week, I had an issue with it:
Threw FSD into Sloth to see how it handled this school zone. You can see well before I enter it, the car is traveling 34 MPH, one MPH under the limit.
Still not slowing down nearly enough.
@Tesla_AI, not 25, not 30…15 MPH in School Zones https://t.co/YQuQ8ydhKh
— TESLARATI (@Teslarati) September 29, 2026
Realistically, most Speed Limit issues are a soft intervention, as I simply scroll into a slower Speed Profile to get the car to slow down. School Zones are a hard intervention, as they require me to completely take over and travel at the posted 15 MPH limit. Even on Sloth, it simply does not get down to a low enough speed.
Parking
Parking is one thing that has really improved over time, but there are still some pretty considerable hoops Tesla needs to jump through to get it to a point where it can be unsupervised.
Parking preferences seem to be where a lot of these issues will be resolved, as most of my complaints come from the fact that the place FSD chooses to park are usually not where I would personally choose to park. This morning, for example, when I arrived at the gym, FSD chose to park next to a vehicle that was parked with its two tires in the spot that FSD picked.
This is a big reason Parking Preferences with Supervised FSD will be so valuable.
If possible, parking a little further away and being distant from people like this is worth it. https://t.co/3Ac71KQiQ3
— TESLARATI (@Teslarati) June 7, 2026
There were three spots in between that car and the nearest car, so FSD could have chosen the spot that would have given a one-spot buffer between the two vehicles. In a parking lot full of empty spots, don’t be that guy who parks next to a car.
Generally, parking performance is vastly improved from where it was a year ago; I rarely am adjusting how it pulls or backs into a spot on v14.3.10, but in earlier versions, I definitely had my problems. It’s gotten really good since, and this version has been the best in terms of parking performance. It’s more about the places FSD choose to park, and not necessarily the parking itself.
There are also no options or map data to allow you to choose a charger at a place like a grocery store if it offers charging. These are things that are a bit more complex, but they will be needed for unsupervised FSD operation.
Navigation
Navigation was always going to be on this list, simply because it is one of the most inconsistent and mind-boggling things about FSD. Even after a year of intervening, sending voice notes, and overriding decisions, FSD still tries to take me out of my neighborhood the wrong way. You cannot turn left out of my neighborhood’s main entrance and exit, only right. Navigation still prompts a left turn out of my neighborhood’s main entrance and exit, instead of going around the neighborhood and exiting where a left turn is legal.
Tesla rolled out Preferred Routes with the Summer Update, and this has resolved some of the issues. I also found my own personal workaround:
🚨See if this cool Tesla Navigation Hack works for you!
I have used it to get out of my neighborhood legally with FSD, thus enabling completely hands-free drives! https://t.co/DlDsCQjxRI
— TESLARATI (@Teslarati) July 16, 2026
Some of the more mind-boggling things that FSD used to do with Navigation have been remedied, but it is still a frequent complaint for me and many other owners. I’d just like to see it adopt those preferred routes more frequently and maybe learn them a little faster.
Certain Highway Behaviors
Highway travel is the most consistent and perhaps FSD’s best use case. There is nothing better than having FSD handle busy highway traffic or just long, monotonous, and boring drives. I love to use it for my trips to the Flight 93 Memorial where I volunteer. When I drove manually, I chose to get a hotel and stay overnight because it’s about a 2.5 hour drive. FSD lets me make the drive, put in a volunteering shift, and drive home, without much fatigue. I have found that this is where FSD is most valuable for me, personally.
However, there are a few things FSD does on the highway that are just weird.
One thing I’ve had issues with as of late is that there will be times when I’m about a mile from my exit, the car is in the left lane and is traveling faster than the traffic in the cruising late. Instead of completing a pass and then getting over with no traffic ahead, the car will sometimes drastically and suddenly slow down, switch to the slow lane, and get behind a vehicle — all with a mile until the exit. On average, I’ll have around one minute from the time I get to my exit if it’s a mile away, because in most cases, I’m traveling somewhere around 60 MPH on the highway.
There is no reason to not complete that last pass, then get into the right lane, and have an unobstructed path to the exit. This is one of the more strange behaviors I’ve seen it do, and it really does feel like a bug. Here’s an example of it from FSD v14.3.7:
🚨 Tesla FSD v14.3.7 did nearly the exact opposite — nearly 2.5 miles before the exit it got over into the slow lane and got behind much slower traffic.
Now, v14.3.8, anecdotally, waited til the last minute to get off the highway https://t.co/Lc9vAKDyQC
— TESLARATI (@Teslarati) August 29, 2026
I ended up overriding the turn signal and using the accelerator to nudge the car to do what I wanted it to do. There was no reason to get in the left lane and add to the congestion in that lane.
Another thing that FSD does frequently is camps in the left lane, especially on Hurry. Cruising in the passing lane is illegal in Pennsylvania, and I know it is not a crime to do that everywhere. However, it is here, and I really wish the car was a little quicker to get over in the left lane when it’s cruising.
Here’s a pretty drastic example I had just a couple weeks back:
Recognizing Drastic Changes in Road Condition
I think anyone who has ever used FSD knows that potholes are a huge issue, but so are large bumps or sudden changes in road condition. At the intersection of Kreutz Creek Rd. and Rt. 462 in Hellam, PA the roads are nearly set up as a ramp, and going over it at a speed of over 35 MPH can send your head into the glass roof, your butt off your seat, and a brace for the sudden thud that is inevitably coming when you finally touch back down again.
You can see here I tried to change Speed Profiles quickly, but I did it a tad too late:
This is that big bounce that I mentioned in the quoted post.
It’s just a tad too drastic to take at the speed FSD wants to go over it. You can see me quickly swipe down into Sloth, but I intervened. https://t.co/81Oc82ZJcZ
— TESLARATI (@Teslarati) August 2, 2026
There are other roads in my area that should not be taken at even the posted Speed Limit because of the damage it could do to your car. Here’s another, where I disengaged FSD altogether:
🚨 I’ve talked in the past about my struggles with FSD when large bumps or sudden changes in sloping are approaching.
Today I tried switching down into Sloth from Standard but I did it a tad too late and I had to take over. You can see this isn’t a bump you take at 35 MPH https://t.co/f4tK13hsz1
— TESLARATI (@Teslarati) September 6, 2026
The recognition of these bumps is so crucial for two main reasons: they can cause injury, and they can cause damage to the car. These are reasons why the suite is supervised and drivers should remain attentive. I could not imagine going over that bump at an excessive speed if I had back issues, or if I were older.
Potholes are rarely recognized and usually require a lead car to avoid them. I had FSD use a lead car to avoid a pretty sizeable manhole cover a few weeks back:
🚨 Interesting observation on FSD v14.3.8 – Make note of the van in front of me as it swerves out of the way of a sewer cover
FSD followed this behavior, but interestingly did not swerve for the next sewer cover
What do we make of this? https://t.co/RO19941AIP
— TESLARATI (@Teslarati) September 2, 2026
Tesla says that there are improvements coming for potholes, so hopefully that means these bumps will also be recognized consistently.










