News
SpaceX rocket nosecone catch years in the making caught on camera
In a milestone more than three years in the making, SpaceX has successfully caught both halves of a Falcon 9 rocket’s payload fairing (i.e. nosecone) and shared videos of the historic feat.
Meanwhile, twin ships GO Ms. Tree and GO Ms. Chief returned to Port Canaveral before dawn on July 22nd with their trophies safely in hand. After years of development, at least a dozen failed catch attempts, numerous soft ocean landings, and the introduction of a second identical recovery ship, SpaceX has finally proven that a full rocket fairing can be recovered for (relatively) easy reuse.
Ironically, just eight months ago, SpaceX reused an orbital-class payload fairing for the first time, proving that fairings can be recovered and reused even if they fail to land in a recovery ship’s net. As such, the milestone is slightly less monumental than it otherwise could have been – but that’s not a bad thing, in this case. Most importantly, the successful catch of both halves of a Falcon fairing serves as a reminder of SpaceX’s extraordinary tenacity in the face of repeated failures and the reality that – given enough time and resources – the company almost invariably achieves its goals.
In the scope of orbital-class rocket recovery and reusability, payload fairings – nosecones that protect payloads from the atmosphere and environment and deploy several minutes after launch – rarely register. Relative to launch vehicle stages, the fairing typically represents a small fraction of the overall rocket’s cost. However, when built almost entirely out of carbon fiber composites to save as much weight as possible, they can require an outsized amount of labor and production time. At the same time, for a company like SpaceX that has already effectively solved the problem of routine booster recovery and reuse, a part that may have once represented a small fraction of launch costs can quickly become a major portion.
For Falcon 9, with the booster representing something like 65% of the rocket’s material cost, the payload fairing’s share of overall launch cost with a reused booster can quickly balloon from 10% to ~30%. Of course, those savings really only register from an internal perspective, which is precisely way SpaceX has continued to invest in fairing reuse after years with minimal success. Cutting ~30% off the material cost of the dozens to hundreds of Starlink launches planned over the next several years could easily save SpaceX hundreds of millions of dollars.
As such, SpaceX continues to reap the benefits of a healthy, industry-leading commercial launch business, more or less allowing it to pay for the production of rockets and facilities by launching a few commercial missions before moving on to many, many more Starlink launches. Up to now, only Falcon boosters have been able to take advantage of that unique opportunity, but SpaceX has very recently begun to reuse payload fairings – also frequently debuting on commercial missions. As of July 23rd, SpaceX has reused Falcon 9 and Falcon Heavy fairings three times, all on Starlink satellite launches.
On July 20th, Falcon 9 booster B1058 lifted off for the second time after a record-breaking turnaround, carrying South Korea’s ANASIS II military communications satellite and a fresh payload fairing atop a new upper stage. Simultaneously breaking a drought of fairing catches, GO Ms. Tree and GO Ms. Chief successfully caught both halves of said payload fairing in their respective nets for the first time ever. Protected from saltwater immersion that can easily corrode the aluminum both inside and outside the fairings, the successful catch all but guarantees that SpaceX will be able to quickly and easily reuse this fairing on a future Starlink mission.
Two simultaneously successful catches after 12 attempts – three successful – in ~30 months is either an extraordinary fluke or a sign that SpaceX may have solved fairing recovery after years of hard work and iterative improvement. SpaceX’s next firm launch is scheduled no earlier than July 30th and another Starlink mission could potentially happen between now and then, so the company should have several attempts to test its fairing recovery luck in the near future.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
