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SpaceX’s Falcon Heavy fairing tries to enter hyperspace, lands in net in new videos
SpaceX and CEO Elon Musk have released videos offering an extended look at the unexpectedly dramatic conditions Falcon payload fairings are subjected to during atmospheric reentry, as well as the first successful landing in GO Ms. Tree’s net.
Captured via an onboard GoPro camera during Falcon Heavy’s June 25th launch of the USAF Space Test Program-2 (STP-2) mission, the minute-long cut shows off a light show more indicative of a spacecraft entering hyperspace than the slightly more mundane reality. Shortly after SpaceX posted the reentry video, CEO Elon Musk followed up with a video showing a fairing’s gentle landing in Ms. Tree’s net. More likely than not, the fairing with the camera attached and the fairing that became the first to successfully land in Mr. Steven’s (now GO Ms. Tree’s) net are the same half. Regardless, the videos help document a major step forward towards SpaceX’s ultimate goal of fairing reuse.
“In a pleasant, last-minute surprise, SpaceX fairing recovery vessel Mr. Steven has departed Port Canaveral for its first Falcon fairing catch attempt in more than half a year. The speedy ship has already traveled more than 1250 km (800 mi) in ~48 hours and should soon be in position to attempt recovery of Falcon Heavy Flight 3’s payload fairing halves.
Over the last week or two, Mr. Steven has been officially renamed to GO Ms. Tree, a strong indicator that Guice Offshore (GO) – a company SpaceX is heavily involved with – has acquired the vessel from financially troubled owner/operator Sea-Tran Marine. With this likely acquisition, nearly all of SpaceX’s non-drone ship vessels are now leased from – and partially operated by – GO. The name change is undeniably bittersweet for those that have been following Mr. Steven’s fairing recovery journey from the beginning. However, it’s also more than a little fitting given that the vessel switched coasts and suffered an accident that forced SpaceX to replace the entirety of its arm-boom-net assembly. Much of Mr. Steven – now GO Ms. Tree – has been replaced in the last few months and with any luck, the vessel is better equipped than ever before to snag its first Falcon fairing(s) out of the air.”
— Teslarati.com, June 24th
As they say, the rest is history. Some 60-75 minutes after Falcon Heavy lifted off from Pad 39A on June 25th, Ms. Tree successfully caught a parasailing fairing for the first time ever, just barely snagging one of the two halves at the very edge of the ship’s net. Two days later, Ms. Tree arrived back at Port Canaveral. Another 24 hours after that, the intact, dry fairing half was safely lifted onto land and transported to a local SpaceX facility dedicated to analyzing (and eventually refurbishing) recovered Falcon fairings.
Landing on Ms. Tree pic.twitter.com/4lhPWRpaS9— Elon Musk (@elonmusk) July 4, 2019
With any luck, the successful catch will prove that the years of work have been worth it, demonstrating that fairing halves caught – rather than fished out of the ocean – are structurally sound and clean enough to be quickly and affordably reused. While Falcon fairings have been estimated to take up less than 10% of the material cost of Falcon 9 production (~$6M, $3M/half), the manufacturing apparatus needed to build them takes up a huge amount of space. Additionally, the process of oven-curing huge, monolithic carbon fiber fairings introduces fundamental constraints that physically limit how quickly they can be built.
Fairing reuse would be an invaluable benefit for SpaceX’s internal Starlink launches, of which dozens and – eventually – hundreds will be needed to build an operational constellation of satellites. Thanks to the wonders of Falcon 9 Block 5 booster reuse, the internal cost of a flight-proven booster is essentially just the cost of refurbishment and then the propellant and work-hours needed to launch it. What remains is the cost of the expendable Falcon upper stage (unlikely to be recovered or reused) and payload fairing, now reasonably consistent at landing intact on the ocean surface but yet to demonstrate practical reusability.
As proposed, SpaceX’s completed Starlink constellation represents almost 12,000 satellites. Assuming no progress is made with packing density, no larger payload fairing is developed, and Starship doesn’t reach orbit until the mid-2020s (admittedly unlikely), Starlink will require almost exactly 200 Falcon 9 launches, each carrying 60 satellites. According to Musk, despite the fact that the first 60 satellites launched were effectively advanced prototypes, the cost of launch is already more than the cost of satellite production.
Speaking at a conference in 2017, Musk noted that payload fairings cost about $6M to produce, roughly 10% of Falcon 9’s $62M list price. In 2013, Musk stated that the first stage represented less than 75% of the overall cost of Falcon 9 production, meaning that the rocket’s upper stage probably represents another 15-20% (call it a 70:20:10 split), or ~$9-12M. Conservatively assuming that the operating costs of Falcon 9 refurbishment, launch, and recovery are roughly $5M per mission, the internal cost to SpaceX for a launch with a recoverable flight-proven booster and an expended fairing and upper stage could be just $20-25M and may be even lower.
For reference, assuming 200 Falcon 9 launches, SpaceX could save nearly $600M by consistently recovering and reusing just one fairing half on average per launch, up to as much as $1.2B if both halves can be consistently recovered and reused. June 25th’s successful fairing catch is the biggest step yet in that direction and is hopefully a sign of many good things to come for SpaceX’s latest attempt at building truly reusable rockets.
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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
