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SpaceX launches three Falcon 9 rockets in 36 hours
SpaceX has successfully completed three Falcon 9 launches in just over 36 hours, highlighting the company’s continuous push towards ever-higher launch cadences in 2022.
In February, shortly after a NASA oversight panelist revealed that SpaceX was targeting 52 launches in 2022, CEO Elon Musk confirmed that the company’s goal was for “Falcon [to] launch about once a week” throughout the year. In October 2020, continuing a tradition of extremely ambitious SpaceX launch cadence targets, Musk had also tweeted that “a lot of improvements” would need to be made to achieve his goal of 48 launches – an average of four launches per month – in 2021. Ultimately, SpaceX fell well short of that target, but did set a new annual record of 31 launches in one year, breaking its 2020 record of 26 launches by about 20%. However, perhaps even more important than the new record was the fact that SpaceX was able to complete six launches in four weeks at the end of 2021.
That impressive and unexpected achievement would turn out to be an explicit sign of things to come in 2022.
SpaceX’s successful completion of three launches in 36.5 hours is merely an extension of that feat. In the same four-week period at the end of 2021, SpaceX completed three of those six launches in 69 hours. Two months later, SpaceX did it again, launching three Falcon 9 rockets from all three of its Falcon launch pads in 67 hours.
More importantly, SpaceX has also managed to sustain an average cadence of more than one Falcon launch per week throughout the first half of 2022, completing its 26th launch of the year on June 19th with another two launches planned before the end of the month. SpaceX has actually sustained that cadence for even longer. Beginning on November 24th, 2021, SpaceX has now completed 32 Falcon 9 launches in less than seven months.
The company’s latest hat-trick or triple-header began on Friday, June 17th, when Falcon 9 booster B1060 lifted off at 12:09 pm EDT from SpaceX’s NASA Kennedy Space Center LC-39A pad, helped carry another 53 Starlink V1.5 satellites into space, and became the first Falcon booster to launch and land 13 times. Starlink 4-19 was also SpaceX’s 49th dedicated Starlink launch, SpaceX’s 50th consecutively successful Falcon booster landing, and 100th successful Falcon booster reuse.
22 hours later, a second Falcon 9 rocket lifted off from SpaceX’s Vandenberg Space Force Base SLC-4E pad at 7:19 am PDT, Saturday, June 18th carrying the first of three SARah radar satellites for Germany and an unspecified number of rideshare payloads. For the third time this year, booster B1071 successfully boosted back to shore and touched down at SLC-4E’s LZ-4 landing pad shortly after liftoff.
Finally, at 12:27 am EDT on Sunday, June 19th, a third Falcon 9 rocket lifted off from SpaceX’s Cape Canaveral Space Force Station LC-40 pad carrying a single spare Globalstar-2 communications satellite and, apparently, several secret rideshare payloads. Falcon 9’s Globalstar launch occurred just over 14 hours after SARah-1, breaking SpaceX’s record time between two orbital launches.
Globalstar FM15 was also SpaceX’s 26th launch of 2022, averaging one launch every 6.5 days in the first half of the year. June isn’t over, however, and SpaceX still has plans to launch Starlink 4-21 on June 25th and the SES-22 geostationary communications satellite on June 28th. If both launches avoid delays, SpaceX will end the first half of 2022 with 28 successful orbital launches. Perhaps even more significantly, after another two launches in the last days of June, SpaceX will have launched 17 times in a single quarter – equivalent to 68 launches per year if sustained for four quarters. In the history of spaceflight, a single rocket family has never successfully launched more than 61 times in one year.
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
