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Relativity Space’s first 3D-printed rocket booster passes early tests
Relativity Space CEO Tim Ellis says that the startup’s first 3D-printed ‘Terran-1’ rocket booster has already completed a few significant tests after arriving at its Florida launch pad last month.
Terran-1 is an expendable two-stage launch vehicle that, when assembled for the first time, will measure around 33 meters (110 ft) tall, 2.3 meters (7.5 ft) wide, and weigh 9.3 tons (~20,500 lb) empty. Fueled by liquid oxygen and methane (methalox) and powered by nine small Aeon engines, the first Terran booster will produce around 90 tons (~200,000 lbf) of thrust at liftoff. Altogether, the rocket is designed to initially launch up to 1.25 tons (~2750 lb) to low Earth orbit, with plans to expand to 1.5 tons (~3300 lb) in the future. SpaceX’s Falcon 9, for context, measures 3.7 meters (12 ft) wide, 70 meters (~230 ft) tall, likely weighs around 30 tons (~65,000 lb) dry, and can launch 22.8 tons (~50,250 lb) to LEO in an expendable configuration. A single one of its nine Merlin 1D booster engines produces about as much thrust as the entire first stage of Terran-1.
While tiny in comparison, Terran-1’s booster is still a relatively large and powerful rocket, and testing it poses significant challenges. Instead of building a custom test stand elsewhere, Relativity has chosen to conduct almost all first-stage qualification testing at its Cape Canaveral Space Force Station (CCSFS) LC-16 pad.
That plan increases the risk of the rocket damaging Relativity’s only available launch pad, significantly delaying launch preparations, but it also has the potential to save time by doubling as a launch pad shakedown. Aside from basic concrete features and foundations, LC-16 was essentially a blank slate when Relativity arrived, so qualifying the pad – virtually all of which is new and recently installed – is no small feat on its own.
Relativity’s first Terran-1 flight hardware has performed shockingly well. The smaller single-engine upper stage sailed through a full program of proof tests – including a full-duration static fire – shortly before shipping to LC-16. Terran-1’s first booster, meanwhile, left Relativity’s California factory and arrived at LC-16 to begin its own qualification testing in early June.
On June 28th, CEO Tim Ellis revealed that the booster had already completed “pneumatic proof testing” and made it through its “first propellant loading” test less than a month after arriving at LC-16. That would be fast for the first prototype of any new orbital-class rocket, but Relativity’s Terran-1 has an extremely unique feature that makes that speed even more impressive: by mass, the vast majority (85%) of the rocket was manufactured with 3D printing. In effect, most of Terran’s airframe and tanks are just giant, continuous welds that were precisely manipulated into cylinders, domes, and more. While the rough surface finish leaves something to be desired and likely reduces the overall efficiency of the rocket’s airframe, Relativity says that the composition of the metal in its printed structures is almost identical to a more traditionally-manufactured component.
Relativity’s ultimate hope is that the technical groundwork it is laying will allow it to manufacture complex and high-performance rockets with minimal human intervention, drastically lowering production costs. One day, the descendants of those semi-autonomous factories might even be used to construct rockets and other complex machines and infrastructure on Mars or other extraterrestrial destinations.
First, though, the company needs to start successfully launching Terran-1 rockets and fully prove the concept. Up next, Relativity will likely perform a full wet dress rehearsal, a launch simulation in which the rocket is loaded with propellant and pressurized for flight. Once that step is complete, Relativity will attempt one or several static fire tests, culminating in a full-duration multi-minute static fire or “mission duty cycle.”
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
