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SpaceX’s Falcon Heavy flies a complex mission for the Air Force in launch video
SpaceX has gone to unique lengths for the third launch of its Falcon Heavy rocket and made an exhaustive webpage dedicated to the mission, reviewing its importance to SpaceX and the United States and discussing most of its 23 manifested spacecraft.
Known as the US Air Force’s Space Test Program 2 (STP-2) mission, Falcon Heavy Flight 3 will be a critical pathfinder for the US military’s systematic utilization of both Falcon Heavy and its flight-proven boosters.
The STP-2 mission will be among the most challenging launches in SpaceX history with four separate upper-stage engine burns, three separate deployment orbits, a final propulsive passivation maneuver and a total mission duration of over six hours. [It] will demonstrate the capabilities of the Falcon Heavy launch vehicle and provide critical data supporting certification for future National Security Space Launch (NSSL) missions. In addition, [the USAF] will use this mission as a pathfinder for the [military’s systematic utilization of flight-proven] launch vehicle boosters.
SpaceX, April 2019
SpaceX offers a very effective summary of the various challenges presented by Falcon Heavy’s STP-2 mission and third launch. It’s as challenging as it is for one very specific and largely artificial reason. All the way back in 2012, the USAF contracted the launch to give SpaceX a low-risk opportunity to demonstrate specific capabilities the military branch requires before they certify a given rocket to launch high-value payloads. Originally intended to fly STP-2 in mid-2015, Falcon Heavy suffered almost five years of delays during its development, caused by a combination of unexpected technical difficulties and two catastrophic Falcon 9 failures in 2015 and 2016.
After spending the whole of 2017 gradually catching up on delayed customer launches, SpaceX successfully conducted Falcon Heavy’s launch debut on February 6th, 2018. Four months later, the Air Force announced that it had completed the SpaceX rocket’s preliminary certification and awarded the company a $130M launch contract for AFSPC-52, a classified military satellite. According to documents describing the mission, the satellite weighs approximately 6350 kg (~14,000 lb) and needs to be placed into a geostationary transfer orbit (GTO) measuring 35,188km X 185km (21,850 mi X 115 mi).
Conveniently, Falcon Heavy’s commercial launch debut saw the massive rocket deliver the communications satellite Arabsat 6A – weighing ~6450 kg (~14,200 lb) – into an extremely high GTO, almost 90,000 km X 330 km (56,000 mi X 205 mi). In simpler terms, Falcon Heavy Flight 2 was an almost perfect demonstration that SpaceX is more than capable of successfully launching AFSPC-52, a milestone that could come as early as H2 2020.
The STP-2 mission should help to boost the US military’s confidence in Falcon Heavy even further. The mission is comprised of 23 separate satellites from a dozen or so different groups, ranging from a NOAA weather satellite constellation to a NASA-built atomic clock. The purpose of such a varied range of payloads is to have SpaceX’s Falcon upper stage (S2) place three separate sets into three distinctly different Earth orbits, a challenge that will require the rocket to ignite its Merlin Vacuum engine four times and survive in space for more than six hours.
SpaceX has been testing this critical long-coast technology since at least February 2018, when Falcon Heavy’s debut included a six-hour coast of the upper stage to send a Tesla Roadster on an Earth escape trajectory. SpaceX completed that test successfully and said Roadster is now orbiting the sun on a trajectory that regularly reaches beyond the orbit of Mars. SpaceX has continued to test the longevity of its universal Falcon upper stage, including a handful of on-orbit demonstrations after completing customer missions.
Aside from opening the door for new areas of competition in military launch procurement, successfully proving the long-coast capabilities of the Falcon upper stage will also mean that SpaceX can offer them commercially. Military launches often require long coasts in order to get spacecraft to their operating orbits as quickly as possible, typically involving an upper stage burning at the top of a transfer orbit to circularize said orbit. This capability can also be of significant value to non-government customers, however, as the faster a satellite can get to its operational orbit, the faster its owner can start using it to generate revenue. Traditionally, most commercial geostationary communications satellites are sent to transfer orbits, raising one end of the orbit (apogee) but leaving the low end (perigee) in low Earth orbit. Satellites then use their own propulsion systems to circularize their orbits before they can begin commercial operations.
It’s safe to assume that SpaceX is interested in commercially offering services like those above to make Falcon Heavy even more competitive with the likes of ULA’s Atlas/Delta/Vulcan rockets and Arianespace’s Ariane 5 and Ariane 6. The US military will almost certainly be the anchor customer, but a reliable upper stage with long-coast capabilities may one day allow Falcon Heavy to routinely launch commercial satellites directly into circular orbits or send flagship NASA spacecraft into deep space. But first, STP-2. According to Taiwan space agency NSPO, involved in the mission through their Formosat-7 constellation (also known as NOAA’s COSMIC-2), Falcon Heavy could launch STP-2 as early as June 22nd.
SpaceX’s dedicated STP-2 webpage can be viewed here.
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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
