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SpaceX may have missed a rocket booster landing but it snagged both nosecone halves
Although SpaceX sadly lost a record-breaking rocket booster and suffered a significant in-flight anomaly during its sixth Starlink launch, the company later revealed that it successfully recovered both of Falcon 9’s nosecone halves.
Starlink V1 L5 is now the second time ever that SpaceX – or anyone, for that matter – has successfully reused an orbital-class launch vehicle payload fairing, while the mission also marked the first time that SpaceX managed to recover a reused Falcon fairing. The burn from booster issues certainly isn’t fully salved, as twin fairing catchers Ms. Tree and Ms. Chief both missed their fairing catch attempts, but both twice-flown fairing halves were still successfully scooped out of the Atlantic Ocean before they were torn apart.
This is perhaps the most important milestone for SpaceX’s fairing recovery and reuse program since the first successful catch (June 2019) and first successful reuse (November 2019). With a twice-flown fairing now safely in hand for the first time, SpaceX will hopefully be able to dramatically expand its understanding of how flight-proven fairings – especially those that were fished out of the sea – stand up to launch conditions. If these flight-proven halves appear to be in great condition, it could be a boon for the near-term future of fairing recovery and reuse.
Catching fairings = hard
SpaceX has now been attempting to catch Falcon payload fairings for more than two years, beginning back in February 2018 after many months of additional development prior. The first successful catch came on the sixth post-launch attempt, followed immediately by a second successful catch two months later (August 2019). That back-to-back recovery appears to have been a bit of a fluke, however, with only one additional partial success (one of two ships caught a half) out of the five subsequent attempts.
By all appearances, accurately and reliably catching parasailing Falcon fairings is a spectacularly unforgiving challenge. That shouldn’t come as a huge surprise: each Falcon fairing will typically reach top speeds of 2.5+ km/s (1.5+ mi/s), technically reach space (100+ km or 63+ mi), and travel 500-1000+ km (300-600 mi) downrange before even remotely entering the vicinity of the ships designed to catch them out of the air.
Likely weighing just ~1000 kg (2200 lb) apiece, the lightweight, sail-like nature of SpaceX’s carbon fiber-aluminum honeycomb payload fairings is both a blessing and a curse. While it means they can effectively reenter Earth’s atmosphere at hypersonic velocities with next to no heat shield, it also means that free-falling and parasailing fairing halves are at the full mercy of said atmosphere after reentry, bowing to winds and air currents like dandelions in a breeze.
Fairing halves ultimately spend something like 30-40 minutes parasailing through the atmosphere after parafoil deployment, creating vast uncertainties when it comes to local weather and the general behavior of the atmosphere. Even excluding weather, the average fairing catch attempt is roughly akin to throwing an average marble into a kitchen sink from more than a kilometer (0.8 mi) away.
Soft ocean landings: quite a bit easier
What SpaceX has effectively discovered is that while catching fairing halves may be almost comically difficult, recovering the same halves intact is easily doable if the goal instead is to gently pick them up off the ocean surface. Of the eleven catch attempts SpaceX has made, all but two were followed by recovery vessels extracting one or both fairing halves -intact – from the ocean.
Most notably, though, SpaceX has yet to reuse any of the three Falcon fairing halves that were caught with Ms. Tree. Instead, both the first and second reuses used fairing halves that had been fished onto recovery ships after gentle Atlantic Ocean landings.
SpaceX has ultimately chosen to tackle the much harder reusability challenge – reusing fairings that have been partially immersed in saltwater – first, and done so quite successfully. Critically, the first reused fairing was unable to be recovered – even by sea – due to bad weather in the area, meaning that Wednesday’s recovery was a first for rare flight-proven fairing hardware. Given all the challenges Falcon fairings face with water sealing, corrosion, and contamination after water landings, it would be little surprise to learn that the second reused fairing is not exactly in pristine condition.
However, if it looks as good or better than SpaceX’s less-informed expectations, there’s a chance that it could open the floodgates for the full-scale pursuit of routine waterlogged fairing reuse. Even better, if the Starlink v0.9 and V1 L5 fairing halves have been recovered in great condition, there might be a chance to reuse Falcon fairings multiple times, following in the footsteps of the rocket boosters they launch on top of.
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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
