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SpaceX, NASA celebrate Blue Origin’s lunar lander lawsuit loss and get back to work
In a November 9th press conference, NASA leaders have begun to publicly celebrate the end of seven months of Blue Origin litigation and disruption to its Human Landing System (HLS). A federal court’s dismissal of that lawsuit means that the space agency can finally get back to work with SpaceX on its Starship Moon lander.
Following the failure of that lawsuit, NASA administrator Bill Nelson says that it will take the space agency some time to fully determine what and how much damage Blue Origin has caused. In the briefing, Nelson and associate administrators Kathy Lueders and Jim Free confirmed that Dynetics’ protest and Blue Origin’s protest and lawsuit have delayed SpaceX’s first crewed Starship Moon landing to no earlier than (NET) 2025.
Painfully, though, the briefing primarily focused on NASA’s Space Launch System (SLS) rocket and Orion spacecraft and the latest news about the system and the space agency’s attitude towards it are not encouraging.
Namely, exemplifying just how broken and deceptive NASA’s cost “transparency” is when it comes to SLS and Orion, the space agency used the briefing to announce its first updated Orion cost projections in more than half a decade. All the way back in September 2015, NASA announced major Orion delays and revealed that it had already spent $4.7B on the spacecraft and was committing another $6.7B through its first crewed launch – then scheduled no earlier than 2023.
That’s likely where NASA is getting its magically diminished Orion cost estimate. In reality, including Bush-era Constellation Program development that began in 2006, Orion will have cost NASA and the US taxpayer almost $22 billion by the end of 2021 and before a single full-up launch. Effectively doing the bare minimum to acknowledge a sanitized version of reality, NASA now says that Orion will cost at least $9.3 billion to its first crewed launch, which has been delayed to NET May 2024. It’s entirely unclear how NASA is calculating that deflated figure but in the six years since the space agency’s 2015 announcement that it would spend another $6.7B before Orion’s first crewed launch, it’s actually spent at least $8.4B and will have blown past the latest $9.3B target by mid-2022. Barring drastic funding cuts, Orion development will actually cost the US about $12.6B from 2016 to Artemis II and ~$25.8B since 2006 (not including inflation).
In an even starker demonstration of cognitive dissonance, when a New York Times reporter asked a hard question about the possibility of sidestepping Orion and SLS to get astronauts onto SpaceX’s Starship lunar lander, Administrator Nelson – having just repeatedly discussed Starship – fell back on an old boilerplate statement that “there’s only one rocket capable of doing this” – “this” being launching humans to the Moon and returning them to Earth and that “one rocket” being SLS. Association admin Jim Free also exhibited similar confusion, stating that “the architecture…just wouldn’t work.”
In reality, as currently contracted with NASA, SpaceX’s Starship Moon lander is a highly capable crewed spacecraft that will be refueled in Earth orbit before propelling itself to lunar orbit, where an SLS-launched Orion spacecraft would join it and transfer over three astronauts. Starship would then use its own propulsion to change orbits, land on the Moon, and eventually boost back into lunar orbit to transfer that crew back to Orion for the return to Earth. Nothing short of sheer ignorance – willful or not – could prevent competent spaceflight engineers or managers from understanding the possibilities such an architecture raises.
If NASA is already committed to human-rating Starship’s propulsion systems, which it is, it doesn’t take a grand leap of imagination to consider the possibility of adding a few more burns to Starship’s extremely complex concept of operations. If, for example, Starship has enough performance to return to Earth orbit from the lunar surface, it’s not hard to imagine NASA’s Artemis astronauts boarding Starship in Earth orbit after a far cheaper commercial launch and then returning to Earth orbit to debark Starship and return to that crew-rated reentry vehicle. As it turns out, NASA already has a highly successful crew-rated commercial rocket and spacecraft that’s already operational and likely more than 10 times cheaper than SLS/Orion.
While there are obvious challenges and uncertainties with such an option, the point is more that failing to even acknowledge the possibility of alternatives is a brutal appraisal of several of NASA’s most senior leaders and confirms that the politics of a jobs program like SLS/Orion is actively disrupting their ability to engage with reality and properly manage complex, risky programs.
Ultimately, it’s great news that SpaceX and NASA can finally get back to work on their Starship Moon lander plans. However, it’s also clearer than ever that SLS and Orion will remain a noose precariously balanced around the agency’s neck, forever threatening the Artemis Program and stifling NASA’s ability to seriously plan for – let alone publicly entertain or even acknowledge – contingencies or fresh ideas.
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
