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SpaceX aces fifth astronaut launch in a year and half
Less than 18 months after its first crewed launch, SpaceX’s Crew Dragon spacecraft and Falcon 9 rocket have successfully completed their fifth astronaut launch, sending a crew of four on their way to the International Space Station (ISS).
After ~10 days of weather and sequencing delays and two days after Crew-2 astronauts returned to Earth in a separate Dragon, once-flown Falcon 9 booster B1067 and new Crew Dragon capsule C210 (christened Endeavour) lifted off at 9:03pm EST on Wednesday, November 10th with four Crew-3 astronauts aboard.
For NASA astronauts Raja Chari, Thomas Marshburn, and Kayla Barron, and ESA astronaut Matthias Maurer, the launch is just the beginning of a more than six-month stint in low Earth orbit. When they arrive at the ISS around 7pm EST, November 11th, they’ll join one other NASA astronaut and two Russian cosmonauts – temporarily left for three days as a bit of a skeleton crew after Crew-2’s departure. Nominally, Crew-3 would have launched before Crew-2 to allow a true on-orbit hand-off with zero interruption, but poor weather ultimately led NASA to flip the order of operations at the last minute.
With just a few days to prepare, SpaceX and NASA managed to make that significant change happen and Crew-2 returned around 10pm EST on November 8th. Less than two days later, thanks to a near-perfect recovery, Crew-3 lifted off and is now in orbit and on the way to the ISS. SpaceX’s 24th launch of the year, Crew-3 is also its fifth astronaut launch since Demo-2, which saw the company launch its first crewed test flight – carrying two NASA astronauts – on May 30th, 2020.
Relative to other crewed spacecraft, completing the first five astronaut launches in less than a year and a half is no small feat. Crew Dragon is by no means the fastest to reach that five-flight milestone and is actually middle of the pack but a simple list of names and numbers belies the fact that every other spacecraft on that list was developed by a government agency with far more power over their budgets. Crew Dragon’s development, on the other hand, was funded and overseen by NASA but it was fully managed, designed, and built by private company SpaceX under a fixed-price contract.
Spacecraft Time to 5 Crewed Flights Gemini 267d | 8 months 22 days Apollo CSM 278d | 9 months 5 days Soyuz 7K 351d | 11 months 16 days Soyuz MS 386d | 12 months 21 days Mercury 516d | 16 months 28 days Crew Dragon 529d | 17 months 11 days Soyuz TM 571d | 18 months 24 days Shuttle 578d | 18 months 30 days Soyuz TMA-M 646d | 21 months 7 days Soyuz TMA 715d | 23 months 14 days Soyuz T 749d | 24 months 19 days Vostok 793d | 26 months 2 days Shenzhou 3542d | 116 months 11 days
SpaceX is also on track to launch Axiom-1 (the first all-private astronaut mission to the ISS) and Crew-4 – Dragon’s sixth and seventh astronaut launches – before the second anniversary of Demo-2. Of those seven scheduled launches, four will have been completed for NASA in less than 18 months – a launch cadence the space agency never expected its Commercial Crew Program partners would need to support. However, partner Boeing has unfortunately mismanaged its Starliner spacecraft development, causing multiple in-flight anomalies and ultimately incurring years of delays. Originally scheduled to perform its equivalent of Dragon’s Demo-2 test flight (CFT) in 2020, Starliner’s first crewed launch is now highly unlikely to occur before 2023.
As a result, NASA has been forced to lean entirely on SpaceX and SpaceX has had to pick up the slack and rapidly learn how to operate Crew Dragon at twice its planned cadence. Thankfully, despite the fact that Crew Dragon will ultimately cost NASA ~40% and $2 billion less than Starliner, SpaceX has more than managed to rise to the challenge and ensure that NASA has had uninterrupted access to the ISS since November 2020. Crew-3 continues that uninterrupted access – a service that Crew Dragon and SpaceX alone are now likely to provide until at least early to mid-2023.
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
