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SpaceX’s first Falcon 9 launch in months gets a launch date
SpaceX’s first Falcon 9 launch in more than three months finally has a launch date and it looks like the company’s growing fleet is going to attempt to catch (or land) almost every piece of the rocket, a big first for Falcon 9 reusability if SpaceX can pull it off.
After an exceedingly long wait, SpaceX’s next launch – Starlink’s first “v1.0” mission – is finally on the Eastern range and is scheduled to launch no earlier than ~10 am ET (15:00 UTC) on November 11th, recently confirmed by SpaceFlightNow.com and LaunchPhotography. Although similar lulls in US orbital launch activity have occurred in the past, they are extremely rare: the last time a lull more than three months long occurred was in 2010.
For SpaceX, this is the longest the company has gone without a launch since Falcon 9’s last catastrophic failure, which grounded the rocket for ~4.5 months after a massive explosion in September 2016. By all appearances, the likely 14-week gap between orbital SpaceX launches is little more than the product of bad luck, with customer payloads and SpaceX payloads both coincidentally requiring more time than expected to prepare for flight.
Although the extreme delay between launches is unfortunate, it also happens to have given SpaceX’s recovery engineers a lot more time to prepare the latest member of the rocket recovery fleet for its first attempted fairing catch. Known as GO Ms. Chief, she joins fairing recovery vessel GO Ms. Tree (formerly Mr. Steven) and has spent the last two or so months being outfitted with a brand new net and arms – slightly different but nearly identical to Ms. Tree’s.
Pictured in Stephen Marr’s tweet at the top of this article, Ms. Tree and Ms. Chief appear to be more or less complete, and Ms. Chief took to the Atlantic Ocean with her net installed for the first time just over a week ago. If the ships are as prepared as they look, there’s a strong chance that Ms. Tree and Ms. Chief will be able to team up to attempt the first simultaneous catch of both halves of a Falcon payload fairing. At the moment, SpaceX has caught a single parasailing fairing half twice during its last two consecutive attempts, a strong sign that the company has solved what proved to be an extremely challenging problem.
Falcon 9’s next reusability milestone
As always, prior to launch, SpaceX will fuel and static fire the Falcon 9 rocket to verify that all systems are performing nominally. According to NASASpaceflight.com, that static fire test is scheduled no earlier than Tuesday, November 5th, approximately six days before launch.
Speaking last month, VP of Flight and Build Reliability Hans Koenigsmann stated that Starlink-1 would fly on a thrice-flown Falcon 9 booster, meaning that the mission will likely mark the first time SpaceX flies the same Falcon 9 booster four times. At this point, SpaceX’s Falcon 9 Block 5 nth-reuse milestones are becoming less and less surprising as it becomes clearer than ever that the rocket upgrade – designed to support “at least” 10 launches per booster – is well on its way to reaching that goal.
At the moment, the most likely candidates for that fourth-flight milestone are Falcon 9 boosters B1048 and B1049, the former of which flew its third orbital mission in February 2019, while the latter supported SpaceX’s dedicated Starlink v0.9 launch debut in May 2019. Falcon 9 B1046 – also with three launches under its belt – is scheduled to fly for the fourth (and probably final) time as early as mid-December for Crew Dragon’s critical In-Flight Abort Test, while Falcon 9 B1047 flew its third and final mission in August 2019.
All things considered, SpaceX’s quasi return-to-flight after three months without a launch is set to be an exceptionally important mission for Falcon 9 and should be well worth the wait.
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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
