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SpaceX begins Falcon Heavy booster deliveries for first launch in two years
SpaceX’s first Falcon Heavy rocket launch in almost two years has entered the final stages of preparations – flight hardware acceptance testing, delivery, and assembly.
Comprised of five major elements, the vast majority of the challenges of building and launching Falcon Heavy come from the rocket’s three first-stage boosters – each more or less equivalent to a single-core Falcon 9 booster. Falcon Heavy’s twin side boosters are by far the most visually recognizable sign of that similar-but-different nature thanks to the need for aerodynamic nosecones instead of a Falcon booster’s normal interstage (a hollow cylinder).
While easily recognizable, the center core is the most technically Falcon Heavy-specific part of SpaceX’s partially-reusable heavy-lift rocket, requiring a unique airframe relative to side cores, which are essentially Falcon 9 boosters with a few major add-ons. It’s one of those Falcon Heavy side boosters that was spotted traveling by road from SpaceX’s test facilities to a Florida launch pad on Tuesday, January 26th.
For unknown reasons, although SpaceX currently has two reused Falcon Heavy side boosters that flew a second time on the US Air Force’s own STP-2 mission, the company has manufactured all-new boosters – likely at the US military’s request – for the rocket’s fourth launch. Rebadged from AFSPC-44 to USSF-44, that mission will see SpaceX attempt its first-ever direct-to-GEO launch, nominally launching a several-ton mystery satellite directly into geostationary orbit (GEO).
The main challenge of direct-to-GEO launches is the need for a given rocket’s upper stage to coast for hours in orbit and then reignite after that multi-hour coast period. The direct launch profile also demands more delta-V (propellant) than alternative transfer orbits (GTOs) – propellant that must be launched into orbit in addition to the customer’s payload. That requires the use of extremely large and/or efficient rockets, which is why SpaceX is launching USSF-44 with Falcon Heavy instead of a much cheaper and simpler Falcon 9.
Unlike all other direct-to-GEO launches in history, however, Falcon Heavy Flight 4 will (hopefully) mark the first time a rocket launches a payload into geostationary orbit while still recovering a large portion of its first stage. After liftoff, Falcon Heavy side boosters B1064 and B1065 will attempt the first-ever dual drone ship landing at sea, while the rocket’s custom center core will be intentionally expended. According to CEO Elon Musk, that sacrificial-center-core configuration theoretically allows Falcon Heavy to achieve ~90% of its expendable performance while still recovering two otherwise reusable boosters.
As of the first USSF-44 side booster’s appearance in Louisiana, at least one other booster (most likely the mission’s second side booster) has already been spotted at SpaceX’s McGregor, Texas development facilities and may have already completed its own round of static fire acceptance testing. Given the three-month gap between the first USSF-44 side booster’s static fire and a side booster’s appearance in transport, there’s a distant possibility that the booster spotted on January 26th was the second of two side boosters to ship east, but that’s improbable given how much Falcon boosters stick out on the road.
Ultimately, assuming the second USSF-44 side booster’s static fire acceptance test went well, the only major Falcon Heavy-specific hardware SpaceX needs to ship from its Hawthorne, CA headquarters is center core B1066. An upper stage and payload fairing will also have to pass acceptance testing and head to Florida but both will likely be standard Falcon 9-issue hardware, minimizing small-batch uncertainty.
If SpaceX delivers B1066 to McGregor within the next week or two, the center core should be ready to ship to Florida by March or April, leaving SpaceX two or three months to integrate, static fire, and prepare Falcon Heavy for its fourth launch. According to the latest official information from the US military, USSF-44 is scheduled to launch no earlier than (NET) “late-spring 2021,” likely implying late-May or June.
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
