For the fourth time in nine months, SpaceX has docked a Dragon spacecraft to the International Space Station with a second Dragon already present at the crewed orbital laboratory.
Launched Saturday on a Falcon 9 rocket after a one-day weather delay, SpaceX’s first upgraded Cargo Dragon 2 spacecraft gradually boosted and tweaked its orbit over the course of ~30 hours, looping around the Earth 20+ times before docking with the ISS more than half an hour ahead of schedule. Dragon’s Monday, August 30th arrival marked cargo capsule C208’s second space station docking in nine months, smashing SpaceX and the world’s turnaround record for a reusable orbital space capsule – of which Dragons are the only still flying.
SpaceX’s first twice-flown Crew Dragon was there to greet the first twice-flown Cargo Dragon 2 spacecraft when it docked, having spent the last four months in orbit in support of NASA’s second operational commercial crew mission (Crew-2). A similar instance of a pair Dragons meeting in space is likely to occur at least two more times before the end of 2021.
The first two-Dragons-one-ISS instance occurred just nine months ago when the very same Cargo Dragon 2 spacecraft (capsule C208) rendezvoused and docked with the ISS with SpaceX’s Crew-1 Crew Dragon already attached. At the time, in a number of press conferences and public statements centered around the launch of Crew-1 and CRS-21, SpaceX repeatedly hinted at just how prolific a year 2021 would be for Dragon and it’s hard to argue that the company was exaggerating.
Indeed, exactly as SpaceX foretold, Dragon spacecraft have maintained a continuous presence in orbit and repeatedly operated side by side at the ISS since Crew-1’s November 2021 launch. For the majority of NASA’s Commercial Crew Program development, that degree of continuous, single-provider operations was never meant to happen. SpaceX’s upgraded Cargo Dragon, for example, is one of two independent Commercial Resupply Services (CRS) spacecraft that regularly resupply the space station, ensuring redundancy in the event that one spacecraft or rocket runs into major issues. A third CRS vehicle – Sierra Nevada’s Dream Chaser spaceplane – will also begin cargo deliveries sometime next year.
NASA’s Commercial Crew Program was structured in the same way, with Boeing and SpaceX serving as two redundant crew transport providers. Of course, things didn’t go exactly according to plan and Boeing – despite receiving 60% (~$2B) more funding than SpaceX – has suffered numerous catastrophic issues in recent years, nearly dooming its Starliner spacecraft’s first uncrewed launch in December 2019 and ultimately delaying the company by two or more years.
After further issues delayed Starliner’s uncrewed do-over test flight (OFT-2) from August to late 2021 or early 2022, it’s entirely possible that SpaceX will operate as NASA’s sole crew transport solution for more than 18 months before Boeing flies a single astronaut. In other words, it’s likely that SpaceX will need to maintain the extraordinary cadence of Dragon launches demonstrated in 2021 well into 2022, and possibly even 2023. Since November 2020, SpaceX has launched three Cargo Dragon 2 resupply missions and eight astronauts on two Crew Dragons.
Another two NASA Dragon missions – Crew-3 and CRS-24 – are scheduled to launch in October and December 2021 and SpaceX’s first fully private Inspiration4 Crew Dragon launch could happen as early as September 15th. So long as Boeing’s Starliner is unable to fulfill its crew transport role, all future SpaceX Crew and Cargo missions for NASA – including Crew-3 and CRS-24 – will continue to see one Dragon meet another at the ISS. All told, barring possible delays to CRS-24, SpaceX is on track to launch eight Dragons – four Crew and four Cargo; 16 astronauts and 11 tons of space station supplies – in 13 months.
If Crew Dragon and Cargo Dragon 2 are considered to be two variants of the same Dragon 2 spacecraft, the only other instance in history where another orbital spacecraft came close to eight successful orbital launches in ~13 months was NASA’s Gemini Program, which completed eight crewed test flights in ~14 months in 1965 and 1966.
NASA’s Apollo spacecraft also completed six successful flights (5 crewed, 1 uncrewed) in 13 months in 1968 and 1969. Russian Soyuz vehicles – the most prolific crewed spacecraft in history – have also successfully flown 8 times in 13 months and 9 times in 14 months in the 1970s. Put simply, SpaceX’s Dragon program is now singlehandedly executing at or above the level of the two most prolific national space programs in history at funding peaks that haven’t been touched since and for a fraction of the cost.
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
