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SpaceX’s Mr. Steven preparing for first Falcon 9 fairing catch attempt in months
SpaceX recovery vessel Mr. Steven has spent the last several weeks undergoing major refits – including a new net and arms – and testing the upgraded hardware in anticipation of the vessel’s first fairing catch attempt in more than four months.
Required after a mysterious anomaly saw Mr. Steven return to Port in February sans two arms and a net, the appearance of a new net and arms guarantees that SpaceX is still pursuing its current method of fairing recovery. Above all else, successfully closing the loop and catching fairings could help SpaceX dramatically ramp its launch cadence and lower costs, especially critical for the affordable launch of the company’s own Starlink satellite constellation.
The Saga of Steven
For a few months of 2019, it was entirely conceivable that SpaceX had all but given up on catching Falcon fairings, having spent the better part of 2018 without a single success during both post-launch and experimentally controlled catch attempts. Admittedly, a year may feel like a huge amount of time, but SpaceX has demonstrated just how hard the reliably successful recovery of orbital-class rocket hardware really is.
Depending on how one examines the history of Falcon 9, it took SpaceX anywhere from ~30 and ~70 months and either 7 or 9 failed recovery attempts before the first Falcon 9 booster successfully landed in December 2015. Excluding helicopter-based fairing drop tests, Mr. Steven and SpaceX’s fairing recovery team have made five attempts to catch fairings in the vessel’s net after Falcon 9 launches. All have been unsuccessful, with the closest miss reportedly landing in the Pacific Ocean just 50 meters away from Mr. Steven’s massive net.
In January 2019, Mr. Steven sailed ~8000 km (5000 mi) from Port of Los Angeles to Port Canaveral, passing through the Panama Canal. For unknown reasons, during a trip out to sea to catch a Falcon 9 fairing in February, Mr. Steven abruptly turned around early and arrived in port missing two of four arms, four of eight booms, and the entirety of its custom net. The remaining arms/booms were removed and the vessel spent roughly three months docked with just a handful of excursions.
In late May, technicians rapidly installed new arms and booms, as well as a new (and blue) net, bringing about the end of months of inactivity. Mr. Steven has yet to venture beyond the safety of Port Canaveral since its new ‘catcher’s mitt’ was installed, but SpaceX has been testing the new setup by repeatedly lowering a Falcon fairing half into the net. It’s too early to raise expectations but it seems plausible that the iconic recovery vessel will be ready to attempt its first fairing catch in ~4 months as part of Falcon Heavy’s next scheduled launch, currently NET June 22.
A challenger approaches…
Although Mr. Steven’s prospects look better than they have in months, SpaceX’s fairing recovery engineers and technicians have not been sitting on their hands. Begun as a check against the growing possibility that reliably catching fairings in a (relatively) small net is just too difficult to be worth it, SpaceX has been analyzing methods of reusing fairings without Mr. Steven. Most notably, despite the failure to catch fairings out of the air, the fairing halves themselves – relying on GPS-guided parafoils – have proven to be capable of reliably performing gentle landings on the ocean surface.
This consistently leaves the fairings intact and floating on the ocean but at the cost of partial saltwater immersion and exposure to surface-level sea spray and waves. At least in today’s era of highly complex large satellites, customers typically demand that payload fairings (like Falcon 9’s) offer a clean room-quality environment once the satellite is encapsulated inside. Sea water is full of salt, organic molecules, and water, all three of which do not get along well with extremely sensitive electronics. The whole purpose of recovering and reusing fairings is to make their reuse more efficient and less expensive than simply building a new fairing. The task of cleaning composite structures to clean room-standards after salt water exposure and immersion tends to be less than friendly to both aspirations.
According to SpaceX CEO Elon Musk, however, that challenge may be distinctly solvable and could even be easier than the Mr. Steven approach. After Falcon Heavy’s commercial Arabsat 6A launch debut in April 2019, Musk again confirmed that SpaceX would be ready to test that alternate method of fairing reuse very soon and plans to do so on an “internal” (i.e. Starlink) launch later this year. As noted below, this is helped by the fact that SpaceX’s internally-developed Starlink satellites apparently have no need for the acoustic insulation panels that normally protect sensitive spacecraft from the brutal acoustic environment produced by rockets while still in Earth’s atmosphere.
For fairing reusability, the lack of those panels is just one less thing to have to worry about cleaning or replacing. Intriguingly, it’s easy to imagine that – much like SpaceX has apparently designed Starlink satellites to be resistant to intense acoustic environments – the company could have also required that they be tough enough to tolerate a less-than-pristine fairing environment. With that approach, SpaceX could continue to build new fairings for every customer launch, entirely amortizing their production cost before transferring the ‘dirty’, flight-proven fairings to internal Starlink launches.
In essence, SpaceX’s customers would quite literally be paying the company to build the very Falcon 9 boosters and fairings it will ultimately use to launch its massive Starlink constellation, requiring hundreds of launches over the next decade. The faster and more efficiently SpaceX can build and launch Starlink, the faster it can develop Starship/Super Heavy and entirely transcend any concerns of salty fairings (let alone expendable upper stages). But in the meantime, Mr. Steven will return to his catching duties and SpaceX will continue to attempt to reuse payload fairings.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
