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SpaceX reveals Falcon fairing recovery progress as Mr. Steven barely misses catch
SpaceX has offered an extraordinary glimpse into a stealthy program of Falcon fairing recovery research and development, which has utilized drop tests and iterative hardware and software upgrades to inch ever closer to fairing reuse over the last 6-9 months.
Short of a small handful of sparse comments made by executives in 2018, this is the first time SpaceX has officially acknowledged its continued attempts to optimize Falcon fairing recovery in the face of a number of missed post-launch catches. Given that the pictured fairing was so close to a successful landing that its parafoil actually became caught in Mr. Steven’s net, it seems that SpaceX has nearly solved the problems that have thus far prevented program success.
Recent fairing recovery test with Mr. Steven. So close! pic.twitter.com/DFSCfBnM0Y
— SpaceX (@SpaceX) January 8, 2019
In the last six months of 2018, SpaceX has continued to tease its slow progress towards reusable Falcon fairings, originally planned to depend on a truly bizarre solution – Mr. Steven. An impressive vessel on its own, SpaceX has gradually added and extended and upgraded a range of recovery hardware on his deck, most notably including a vast net (likely tens of thousands of square feet or 2000+ square meters) supported by four huge arms and eight supporting booms. Despite increasing the usable area of the net, SpaceX has been unable to secure an operational fairing catch since it began attempts in March 2018.
In late May 2018, SpaceX provided the best look yet at the actual process of recovering Falcon fairings, showing off the guided parafoil (a wing-like parachute) and revealing that a fairing half – launched in support of Iridium-6/GRACE-FO – had splashed down just 50 meters (~165 ft) away from Mr. Steven’s net.
Falcon 9 fairing halves deployed their parafoils and splashed down in the Pacific Ocean last week after the launch of Iridium-6/GRACE-FO. Closest half was ~50m from SpaceX’s recovery ship, Mr. Steven. https://t.co/JS7d5zTdIg pic.twitter.com/LjiTwnB4wd
— SpaceX (@SpaceX) May 31, 2018
However, in the months that followed, info about catch attempts became increasingly sparse and it eventually became clear that SpaceX was preparing to perform a range of controlled drop tests a few hundred miles off the coast of California. Ultimately, the company’s engineers and technicians hoped to use the controlled environment and a greater number of available drop/catch attempts to refine the hardware and software needed to finesse fairing halves into Mr. Steven’s net.
It may be almost absurdly large relative to any other conceivable thing that exists in the real world, but a few thousand square meters is actually more like a needle in a haystack for a piece of rocket traversing a 500-800 km arc at top speeds of more than 2 km/s.
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- Mr. Steven seen after his most recent December 2018 drop and catch test. (Pauline Acalin)
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- After an audible “3..2..1”, a sharp noise much like compressed gas being released was followed by a clang as the harness dropped. (Pauline Acalin)
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- SpaceX’s fairing recovery fleet technicians were seen performing a bit of an unexpected ride aboard a Falcon 9 fairing half on September 19th. (Pauline Acalin)
In December 2018, following another sadly unsuccessful fairing recovery attempt on the West Coast, SpaceX CEO Elon Musk revealed that engineers were also apparently looking into backup plans in case closing that last 50-meter gap turned out to be more expensive or complicated than it was worth. Most notably, he implied that SpaceX was interested in finding ways to waterproof and ultimately refly Falcon fairings even after soft-landings in seawater, whereas fairings are already capable of reliably landing intact in the ocean but cannot be reused due to seawater contamination and cracking caused by impact.
Falcon fairing halves missed the net, but touched down softly in the water. Mr Steven is picking them up. Plan is to dry them out & launch again. Nothing wrong with a little swim.
— Elon Musk (@elonmusk) December 3, 2018
Given just how close Mr. Steven appears to be to a successful in-net fairing recovery, it now seems implausible that SpaceX will choose just one of the two options at hand, likely instead progressing both development programs to points of success. Once fairings can both be successfully waterproofed and caught in Mr. Steven’s net, SpaceX will almost certainly have itself a foolproof solution to easy and reliable recovery and reuse even in bad sea states and stormy weather.
With the company’s first launch of 2019 probably just a few days away, chances seem good that SpaceX will attempt at least one more post-launch fairing recovery with Mr. Steven. Fingers crossed!
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!
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
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:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
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.
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.
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.
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:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
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.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
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:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
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:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
