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SpaceX CEO Elon Musk forecasts a dozen Starship launches next year
CEO Elon Musk has provided a small update on SpaceX’s next-generation Starship rocket in a brief statement to and Q&A with the board of the US National Academies of Science, Engineering, and Medicine.
While it’s now been more than two years since Musk last gave a proper presentation on the Starship program, a number of excellent questions from board members still managed to extract a handful of new details about the fully reusable rocket, which the SpaceX CEO says aims to “be a generalized transport mechanism for the [entire] solar system.” According to Musk, though, the most pressing near-term issues facing SpaceX are more down to Earth.
Reiterated several times in his comments to the National Academies, Musk says that the current limiting factor for Starship is securing regulatory approvals from the FAA for the rocket’s first orbital test flights, which SpaceX and Musk initially hoped would begin as early as mid-2021. Targets from July to November 2021 have since come and gone, while SpaceX has only begun to make concerted progress towards Starship’s first orbital launch in the last two or so months. Almost two months after its first rollout, Starship S20 – the first orbital-class prototype – began integrated testing, completing ambient and cryogenic proof tests in late September and its first Raptor preburner and static fire tests in the second half of October.
Most recently, after almost a month spent inactive at SpaceX’s Starbase test facilities, Starship S20 fired up all six of its Raptor engines – the first test of its kind and a major milestone for the program. Save for the completion of some relatively simple closeout tasks, Starship S20 is now more or less qualified for flight after its successful static fire. That leaves Super Heavy Booster 4 (B4) – the first stage meant to carry Ship 20 into space – up next on SpaceX’s South Texas testing docket after almost four agonizing months spent sitting, untested, at various Starbase facilities.
Musk says that SpaceX preparing to complete “a bunch of tests in December” with the implication that those tests likely include the first full Super Heavy wet dress rehearsal (WDR) with thousands of tons of live propellant and the first several booster static fire tests. Recently refitted with 29 Raptor engines for the third time in four months, it appears that SpaceX is finally close to finishing Super Heavy B4 to a point that will allow the booster to begin integrated testing. Through Super Heavy B3, which completed testing this summer, SpaceX thankfully already knows that the basic booster design is a structurally sound pressure vessel with plumbing and systems capable of surviving a three-Raptor static fire.

Still, that’s barely more than 10% of the total number of engines Super Heavy will need operational to send Starship to orbit. After months at the pad, SpaceX is finally closing out Booster 4’s aft section and installing a basic heat shield around its 29 Raptor engines, which will produce up to ~5400 metric tons (~12M lbf) of thrust at liftoff – more than any other rocket in history. Following Starship S20’s recent success, SpaceX has now fired six Raptors simultaneously and in close proximity without issue. However, Super Heavy B4 will have to fire 29 engines packed into roughly the same amount of space. No other liquid rocket stage in history has a more densely-packed thrust section, averaging at least 85 tons of thrust per square meter (~125 psi) of available engine space.
It’s thus likely that SpaceX will split Super Heavy B4’s first static fire campaign into several different parts, possibly involving seperate tests of the center cluster of nine Raptor Center (RC) engines and outer ring of 20 Raptor Boost (RB) engines before firing up all 29 together. Even if that testing is completed without issue on the first attempts, SpaceX will still likely want to perform a full wet dress rehearsal – and possibly even another 29-engine static fire – with Ship 20 installed on top of Booster 4.

Musk also believes that Starbase’s first orbital launch site will be complete as early as “later this month” – essential for full booster testing. Once all testing is complete, Musk says Starship, Super Heavy, and Starbase should be ready for their first orbital launch attempt as early as January or February 2022. Of course, that launch is entirely contingent upon FAA environmental approval and launch licensing, the former still incomplete and the latter unable to proceed until the former is complete. If the FAA reaches a favorable conclusion, meets its recently-announced target of December 31st to complete Starbase’s environmental review, and grants SpaceX a new launch license just days or a few weeks later, a January-February launch isn’t out of the question.
Looking further into 2022, Musk also revealed that he hopes SpaceX will complete “a dozen [Starship] launches” next year – incredibly ambitious by any measure. There isn’t a rocket in history that’s achieved double-digit launches in the same year as its debut. More importantly, even if the FAA environmental review SpaceX is in the middle of ends with the best possible outcome for Starship, it limits the company to either 3, 5, or 8 (it’s somewhat ambiguous) orbital launch attempts per year. Still, even a ‘mere’ three orbital Starship launch attempts in 2022 would be an incredible acheivement for SpaceX – let alone five, or Musk’s forecast of a dozen.
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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.