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SpaceX begins work on Starship orbital propellant transfer test for NASA
More than six months after SpaceX won a NASA ‘Tipping Point’ award to demonstrate a large-scale cryogenic propellant transfer in orbit with Starship, the agency has begun disbursing funds, officially kicking off work on the mission.
Back in October 2020, NASA awarded 15 different companies more than $370 million for research and development projects related to managing cryogenic propellant in space, lunar surface operations, and autonomous landing technology. More than two-thirds of that funding went to four real in-space demonstrations of cryogenic propellant management and storage from Lockheed Martin, United Launch Alliance (ULA), SpaceX, and little-known startup Eta Space.
All four missions are fascinating in their own rights. Leaning heavily on Rocket Lab’s small Electron rocket and Photon spacecraft/kickstage, Eta Space will launch a tiny “cryogenic oxygen fluid management system” and demonstrate its performance for some nine months in orbit. Lockheed Martin will perform a similar but slightly larger test with cryogenic liquid hydrogen – far colder and much harder to handle – in low Earth orbit (LEO). Despite major investments in launch startup and competitor ABL Space, Lockheed Martin selected rocket-3D-printing startup Relativity to launch the mission – possibly because the company says it will be able to print a custom fairing to accommodate the payload’s unusual dimensions.

While vague, ULA appears to have plans to test the claimed long-duration coast capabilities of the Vulcan rocket’s Centaur V upper stage, though it’s unclear if that testing will be performed on the ground or in space. Finally, NASA awarded SpaceX $53 million for a “large-scale flight demonstration to transfer 10 metric tons of…liquid oxygen…between tanks on a Starship.”
In the context of NASA’s shocking April 2021 decision to competitively award SpaceX – and SpaceX alone – a $2.9 billion contract to return humanity to the Moon with Starship, the agency’s $53M investment in a demonstration of a capability Starship cannot reach the Moon without seems like a no-brainer. On its own, SpaceX’s next-generation fully-reusable Starship launch vehicle is expected to be able to deliver payloads of 100 to 150 metric tons (220,000-330,000 lb) to LEO. However, to make Starship fully reusable, the ship itself – also serving as the upper stage – is extremely heavy, drastically undercutting its performance to higher orbits.
To high Earth orbits, a lone Starship offers performance akin to SpaceX’s own Falcon Heavy. For Starship to be a truly revolutionary rocket, SpaceX will have to master rapid reusability and orbital refueling. Even with moderate refueling, Starship’s potential performance immediately leapfrogs all other existing and planned rockets. With full refueling in LEO, Starship quickly becomes capable of delivering dozens to 100+ tons of cargo and passengers to the surface of Mars. With refueling in high Earth orbit, Starship could land hundreds of tons on Earth’s Moon and likely launch cargo and spacecraft anywhere in the solar system in short order.
Ultimately, US Federal Procurement Database entries show that NASA ultimately procured $50.4 million for SpaceX’s propellant transfer demonstration, began disbursing funds ($15.1M) on May 4th, 2021, and expects SpaceX to complete work by the end of 2022. It’s unclear if NASA expects SpaceX to recover the Starship involved in the test.
If the rest of NASA’s funding is contingent upon successfully returning Starship for hands-on inspections and maximum data recovery, 2022 is a more reasonable target. If NASA deems data returned from orbit satisfactory, on the heels of SpaceX filing for an orbital Starship launch debut as early as next month, that demonstration mission could easily happen this year given that SpaceX only needs to launch one Starship to complete it.
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Tesla crosses major Unsupervised Self-Driving milestone
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.
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Tesla Robotaxi will be a 24/7 service: here’s when
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.
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Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.