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SpaceX begins filling Starship’s orbital launch site with rocket propellant
Less than a year after tank farm assembly began in South Texas, SpaceX has begun the painstaking process of filling Starship’s first orbital launch site with thousands of tons of rocket propellant.
Comprised of seven giant custom-built tanks, the last of which SpaceX installed and ‘sleeved’ in mid-October, Starbase’s first orbital-class tank farm is a bit like the pad’s circulatory system and needs to store, chill, and distribute all the propellant needed for a rocket launch. To support Starship and Super Heavy, both the largest individual rocket stages and the largest integrated rocket ever built, its launch site and tank farm have to be equally immense. In classic SpaceX fashion, the company has strived to keep the costs of that tank farm low and its speed of construction high, resulting in a setup that’s fairly unique as far as launch pads go.
Perhaps nothing emphasizes the scale of Starship’s first orbital-class tank farm than the process of filling it with the supercool propellant and fluids its designed to hold.
In mid-September, SpaceX began delivering cryogenic fluids to Starbase’s orbital tank farm for the first time ever. Instead of propellant, dozens of tanker trucks delivered liquid nitrogen to one or two of the farm’s tanks between mid-September and mid-October. Altogether, around 40-60 truckloads was delivered – only enough to partially fill one tank. That liquid nitrogen also appeared to be piped into two of the farm’s three liquid oxygen tanks, meaning that it may have only been used to clean and proof test them.
Combined, the farm’s seven main tanks should be able to store roughly 2400 tons (5.3M lb) of liquid methane (LCH4), 5400 tons (12M lb) of liquid oxygen (LOx), and 2600 tons (5.7M lb) of liquid nitrogen (LN2). LCH4 and LOx are Starship’s propellant, while LN2 is needed to ‘subcool’ that propellant below its boiling point, significantly increasing its density and the mass of propellant Starships can store.
In recent weeks, LN2 deliveries have picked back up at the orbital tank farm, suggesting that more tanks are being cleaned and proofed. SpaceX may have also begun filling one or both of the farm’s dedicated LN2 tanks, though it’s hard to say for sure. More importantly, around October 17th, SpaceX began filling Starship’s orbital tank farm with liquid oxygen – real propellant – for the first time. Rather than a slow and cautious process, deliveries have streamed in almost daily ever since. As of November 4th, at least 74 tanker trucks have delivered LOx to the farm in 18 days.
Based on Department of Transportation (DOT) regulations that limit the gross weight of cryogenic tanker trucks to about 37 tons (~81,000 lb), each of those trucks has likely delivered around 20 tons (~45,000 lb) of LOx to Starbase. Altogether, that amounts to around 1500 tons (3.3M lb) delivered in less than three weeks – enough to fill about 80% of one of the farm’s three LOx tanks or a quarter of its total LOx storage capacity.
Based on data from AI-based tracker Starbase Deliveries, which can only count daytime deliveries, at least 134 tankers have delivered LCH4, LOx, or LN2 to Starbase’s orbital and suborbital launch sites between October 4th and November 4th – an average of 4.3 per day. At that rate, even if every delivery went to the orbital pad, it would take SpaceX nearly four months just to fill the orbital tank farm. Put simply, the facilities and logistics required to support even a single orbital Starship launch are gargantuan.
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
