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SpaceX Falcon Heavy rocket rolls to pad for Tuesday launch, dual booster landing
A SpaceX Falcon Heavy rocket has rolled out to Kennedy Space Center Pad 39A for its first launch (and dual booster landing) in almost three and a half years.
Missing its payload fairing and the US Space Force’s classified USSF-44 payload, SpaceX’s fourth Falcon Heavy rocket rolled out to Pad 39A for the first time on October 25th. On the 27th, the rocket successfully fired up all 27 of its first-stage Merlin 1D engines, reasserting its status as the most powerful operational rocket in the world. On October 30th, SpaceX finally brought Falcon Heavy horizontal and rolled the rocket back to Pad 39A’s integration hangar, where the USSF-44 mission’s several payloads – safely stowed inside a payload fairing – were installed on the rocket.
24 hours later, Falcon Heavy – now fully assembled – departed the hangar again. According to the US Space Systems Command (SSC), despite the exceptionally late rollout on October 31st, SpaceX is on track to launch Falcon Heavy no earlier than (NET) 9:41 am EDT (13:41 UTC) on Tuesday, November 1st.
As previously discussed on Teslarati, USSF-44 will be SpaceX’s first attempt at a direct launch to a geostationary orbit (GEO) some ~36,000 kilometers (~22,400 mi) above Earth’s surface, where spacecraft can hover motionless over their region of choice. To accomplish that feat, Falcon Heavy’s upper stage will need to survive a roughly six-hour coast in the harsh vacuum of space, likely making USSF-44 one of the most challenging missions SpaceX has ever attempted.
“Long orbital coasts of six or so hours are necessary for some of the most challenging launch trajectories. Direct-to-geostationary launches are the most common mission requiring long coast capabilities and are often demanded by the US military. When Falcon’s upper stage gets too cold, its kerosene fuel – which freezes at a much higher temperature than Falcon’s liquid oxygen oxidizer – becomes viscous and slush-like before it becomes solid. If ingested in Falcon’s Merlin Vacuum engine, slushy fuel would likely prevent ignition or outright destroy it.“
Teslarati.com – October 10th, 2022
Simultaneously, while worrying about kerosene fuel getting too cold, SpaceX must also ensure that the Falcon upper stage’s cryogenic liquid oxygen (LOx) oxidizer doesn’t boil into gas. If too much LOx warms up and has to be vented out as it turns to gas, the Falcon upper stage could find itself without enough propellant to complete its geostationary orbit circularization burn.
LOx is far less stable, which makes it a bit ironic that the upper stage’s fuel tank bares the only visible sign of the tweaks needed to survive a long coast. To keep the RP1 fuel warmer in orbit, SpaceX has added a layer of grey paint to the RP1 tank, increasing the amount of heat that can be absorbed through unfiltered sunlight. The uninsulated LOx tank, meanwhile, benefits from the unintuitive fact that a cryogenic liquid can stay liquid for a surprisingly long time because some of it warms up and boils off as a gas, sacrificing a small quantity to keep the rest cool.
According to the US Space Force, USSF-44 will carry several “various payloads” attached to the second Northrop Grumman “Long Duration Propulsive EELV (Evolved Expendable Launch Vehicle) Secondary Payload Adapter” or LDPE-2 – essentially a long-duration kick stage. Cataloged on EverydayAstronaut.com, the payloads include two Lockheed Martin LINUSS-A cubesats that will demonstrate a handful of new technologies and capabilities; TETRA-1, a microsat built by Millenium Space Systems to test on-orbit maneuverability; and a communications satellite prototype called USUVL. Spaceflight Now reports that LPDE-2 will carry three hosted payloads and deploy three satellites.
Finally, a recent Space Systems Command press release [PDF] mentioned a mysterious “Shepard demonstration” – likely a second propulsive kick stage – for the first time, which almost nothing is known about. It’s unclear if there is a main classified satellite the mission revolves around or if USSF-44 is simply a collection of various rideshare payloads headed to GEO.
Regardless, to launch them directly into geostationary orbit, USSF-44 will mark the first time SpaceX intentionally expends a Falcon Heavy booster. Over three previous launches, SpaceX only managed to land a Falcon Heavy center core once, but that core then tipped over and was destroyed at sea. Two other attempts resulted in failed landings. USSF-44 will continue that trend. Falcon Heavy’s twin side boosters will attempt to continue a more positive trend of simultaneous side-by-side landings and boost back to Florida to touch down at SpaceX’s LZ-1 and LZ-2 pads. SpaceX will also attempt to recover both halves of Falcon Heavy’s payload fairing a record-breaking 1410 kilometers (876 mi) off the Florida coast.
SpaceX says weather is 90% favorable for Falcon Heavy’s November 1st launch attempt. Stay tuned for a link to the company’s official webcast.
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
