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SpaceX customer iSpace updates Falcon 9-launched Moon lander, rover plans
Japanese commercial space company iSpace has provided an updated schedule for its first private missions to the Moon, both set to launch on Falcon 9 rockets and land on the Moon as early as 2021 and 2023.
iSpace’s goal is to understand and map lunar resources (particularly water ice) and eventually gather and process those materials into resources that could help enable far more ambitious lunar exploration, up to and including a partially self-sustaining lunar outpost capable of supporting astronauts. Known as Hakuto-R (“white rabbit” reboot), iSpace began as a team pursuing the Google Lunar XPRIZE before its cancelation in 2018 after several postponements pushed competing teams well past the prize deadline.
We also announced an updated mission schedule for the HAKUTO-R Program. We will perform a lunar landing in 2021 and a lunar landing and rover deployment in 2023. https://t.co/jGaZ3eqRRE— HAKUTO-R (@HAKUTO_Reboot_e) August 22, 2019
Despite the death of the Lunar XPRIZE, iSpace managed to not only survive but thrive in a more entrepreneurial environment. The company managed to convince several major investors of the potential value of commercial space exploration and became one of a select few spaceflight startups – certainly the only space resources startup – that has raised almost $100 million.
Relative to similar startups Planetary Resources (purchased by a blockchain company; effectively dead) and Deep Space Industries (acquired by Bradford Space), iSpace is in an unprecedentedly healthy position to realize its space resource ambitions.
NewSpace, OldProblems
One could likely climb to the Moon with nothing more than a printed stack of all the studies, analyses, white papers, and hollow promises ever published on the utilization of space-based resources, an ode to the simultaneous promise and pitfalls the idea poses. As many have discovered, developing the ability to acquire, refine, and sell space resources is one of the most long-lead problems in existence. Put another way, funding a space exploration company on the promise of (or income from) space resources is a bit like paying for a solid-gold ladder by selling the fruit you needed it to reach.
For such an enterprise to make economical sense, one must either have access to ladders that are cheaper than their weight in gold or be able to sell the harvested fruit at breathtaking premiums. The point of this analogy is to illustrate just how challenging, expensive, and immature deep space exploration is relative to the possible resources currently within its grasp. There is also a bit of a circular aspect to space resource utilization: to sell the resources at the extreme premiums needed to sustain their existence, there must be some sort of established market for those resources – ready to purchase them the moment they’re available.
To build a market on space resources, one must already possess space resources to sell. This is the exact thing that government space agencies like NASA should develop, but entrenched and greedy corporate interests have effectively neutered NASA’s ability to develop technology that might transcend the need for giant, ultra-expensive, expendable rockets.
The need to secure funding via investors – investors expecting some sort of return – is the biggest roadblock to space resource utilization. Really, the only conceivable way to sustainably raise funding for space resource acquisition is to already have a functional and sustainable company as a base. SpaceX is a prime example: the company hopes to fund the development of a sustainable city on Mars with income from its launch business and Starlink internet constellation.
Ambitious plans, solid funding
Given all of the above, it’s extremely impressive that iSpace has managed to raise nearly $100M in just a few years and has done so without the involvement of one or several ultra-wealthy angel investors. Of course, it must still be acknowledged that the cost of iSpace’s longer-term ambitions can easily be measured in the tens of billions of dollars, but given an extremely lean operation and rapid success, $100M could plausibly fund at least one or two serious lunar landing attempts.
In the realm of flight tests, iSpace previously planned to perform a demonstration launch in 2020, in which a simplified lander would be used to orbit the Moon but not land. In the last year or so, the company has decided to entirely forgo that orbital test flight and instead plans to attempt a Moon landing on its first orbital flight, scheduled to launch on Falcon 9 no earlier than (NET) 2021. If successful, this inaugural landing would be followed as few as two years later (2023) by a lander and a lunar rover. Assuming a successful second landing, iSpace would move to ramp its production rates, launch cadence, and general ambitions, prospecting all over the Moon in 5-10+ separate lander missions.
iSpace will still face the brick wall that all space resource companies eventually run into. Even if the company can successfully demonstrate a Moon landing and resource prospecting, it will need additional funding (and thus a commercially sustainable plan to sell investors on) to continue work and eventually, just maybe, get to a point where selling space-based resources can become a sustainable source of income.
Regardless of iSpace’s long-term business strategy, the early 2020s will be jam-packed with attempted commercial lunar landings, including Hakuto-R, Astrobotic, Intuitive Machines, and perhaps several other companies’ attempts. By all appearances, the exceptional mix of high performance and low cost offered by SpaceX’s Falcon 9 rocket will serve as a major enabler, allowing companies to put most of their funding into their landers instead of launch costs.
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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
