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SpaceX gears up for Crew Dragon’s first recovery with a giant inflatable cushion

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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.

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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.

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.

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Crew Dragon completed a successful pad-abort test in 2015. (SpaceX)

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.

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.”

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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.

 

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

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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.

 

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).

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Mr Steven sans two arms, August 19th. (Pauline Acalin)

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!

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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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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