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SpaceX receives first major Starship Moon lander funding from NASA
SpaceX has received its first major funding from NASA for the development of a crewed Starship Moon lander meant to return humans to the surface of Earth’s nearest neighbor as early as 2024.
Ordinarily, funding disbursement is just a routine, mundane part of government contracting. However, soon after NASA revealed that it had selected SpaceX – both the most technically sound proposal and cheapest option by half – alone to return humanity to the Moon, former competitors Dynetics and Blue Origin both filed protests complaining about the space agency’s conclusions. As a direct result, NASA was forced to freeze work on SpaceX’s brand new Human Landing System (HLS) contract and collaboration between both partners was strictly limited until both protests could be evaluated.
Technically, the US Government Accountability Office (GAO) tasked with those reviews had 100 days from the date the protests were filed (April 26th) to complete the process. On July 30th, 95 days later, GAO announced that it had firmly denied both Dynetics’ and Blue Origin’s protests. As it turns out, likely just hours after GAO released its decision, NASA sent SpaceX its first major HLS Starship milestone payment.
As part of the $2.9 billion contract SpaceX won to develop a crewed Starship lander and perform at least two major test flights of the vehicle, one uncrewed and one crewed, NASA wasted no time at all sending SpaceX its first milestone payment of $300 million. In one fell swoop, NASA has thus doubled the amount of money it’s invested to date in SpaceX’s next-generation, fully-reusable Starship launch vehicle.
Per GAO’s July 30th decision document, NASA reportedly only had ~$350 million left to fund its FY2021 HLS Option A awardee(s) – almost all of which has now been sent to SpaceX. Despite the fact that the Dynetics and Blue Origin protests all but completely prevented NASA from making progress on HLS, they didn’t prevent SpaceX from continuing work at a breakneck pace. Notably, even with that $300M payment and a ~$140M HLS requirements contract Starship received in 2020, NASA has still disbursed less HLS funding to SpaceX than Blue Origin’s National Team, which received almost $480M to develop its own lander before SpaceX was crowned.
In fact, SpaceX simply continued as if those protests and their associated obstructions didn’t exist. In early May, for the first time ever, SpaceX successfully launched a full-scale Starship prototype to 10 km (~6.2 mi) and gently landed the massive rocket in one piece. The Starship tankers SpaceX’s HLS lander missions will require will ultimately rely on the exact same exotic recovery approach – an approach that SpaceX has now unequivocally proven works.
Around the same time, SpaceX began assembling a skyscraper-sized ‘launch tower’ that will be tasked with fueling Starship and eventually catching Super Heavy boosters. A few days before GAO denied the HLS Option A protests and allowed NASA to get back to work, SpaceX stacked that launch tower to its final ~145m (~475 ft) height, completing the basic structure. Plenty of outfitting remains, including the installation of the giant arms that will hopefully one day catch and fuel Starship stages, but that work is also progressing quickly.
In the three months NASA’s HLS program has been frozen in place, SpaceX also built, proof tested, and static fired a ~69m tall (~227 ft) Super Heavy booster (B3) for the first time, more or less completed the first orbital-class Starship prototype (S20), nearly finished another full-scale Super Heavy (B4), collectively installed 35 Raptors on both vehicles in about two days, and briefly stacked Ship 20 atop Booster 4 – creating the largest, tallest rocket ever assembled.
In short, even with no guarantee that it would ever receive any of the $2.9 billion NASA awarded it, SpaceX continued Starship development at a breakneck pace and – according to Elon Musk – could technically be ready for the rocket’s first orbital launch attempt “in a few weeks.” In the background, SpaceX also almost certainly completed a great deal of paperwork and deliverables that NASA was finally able to accept and review once unshackled. Ever the optimist, despite the hurdles, CEO Elon Musk still believes that SpaceX will not only deliver its Starship Moon lander – and thus NASA astronauts to the lunar surface – on time, but “probably sooner” than the 2024 target.
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
