News
SpaceX to launch asteroid mining spacecraft alongside private Moon lander
SpaceX customer Intuitive Machines says it will use spare capacity on one of its Moon lander launches to send startup AstroForge’s first asteroid prospector spacecraft into deep space.
Intuitive Machines’ second Nova-C Moon lander is scheduled to launch no earlier than (NET) Q4 2023 on a SpaceX Falcon 9 rocket. The IM-2 lander is the primary payload but is only expected to weigh about 1.9 tons (~4300 lb). To take advantage of the rocket performance left on the table by the relatively light payload, Intuitive Machines has opted to include a secondary payload adapter ring (ESPA) located below each lander. That gives companies like AstroForge an opportunity to hitch a ride to high Earth orbit, deep space, and the Moon for a likely unbeatable price.
Built by UK startup Orbital Astronautics, AstroForge’s Brokkr-2 spacecraft will attempt to become the first private vehicle to prospect for resources on an asteroid. It’s also the third rideshare payload announced for Intuitive Machines’ IM-2 mission.
We’re excited to launch these missions and many more to come. More information on this year’s launches: https://t.co/MSR61V8Lh7— AstroForge (@ForgeAstro) January 24, 2023
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Lunar Trailblazer
Coincidentally, the main purpose of the second IM-2 rideshare payload to be announced is to search for resources in space. It isn’t concerned with asteroids, but NASA’s 200-kilogram (440 lb) Lunar Trailblazer spacecraft is designed to find, characterize, and map water ice resources on the Moon. That map could help future missions explore the possibility of turning lunar ice into commodities like breathable oxygen or rocket propellant.
The challenges facing such a concept are extreme, but a rocket propellant depot located on the lunar surface could significantly increase the performance of future Moon landers. Propellant depots in cislunar orbit could also help boost spacecraft further and faster to destinations elsewhere in the solar system.
Tanker-002
The first IM-2 rideshare payload to be announced was OrbitFab’s Tanker-002 spacecraft. It’s unclear if OrbitFab is on track to fly Tanker-002 in late 2023, but the spacecraft is meant to be the first geostationary propellant depot ever launched. The Colorado startup has already won a $13.3 million contract from the US military to refuel satellites in geostationary orbit, 36,000 kilometers (~22,250 mi) above Earth’s surface. It’s possible that Tanker-002 is meant to support that refueling mission.
The spacecraft is designed to carry a few hundred pounds of hydrazine monopropellant, potentially enabling it to extend the useful lives of multiple multimillion-dollar satellites by several years. Alongside IM-2, Falcon 9 will launch Tanker-002 on a lunar flyby trajectory. But thanks to the cooperation of startup GeoJump, instead of entering orbit around the Moon, Tanker-002 will slingshot around the Moon to slow itself down. That lunar slingshot will allow the depot to efficiently enter geostationary orbit, where it can begin refueling spacecraft.
Brokkr-2
Brokkr-2 is the second of two AstroForge spacecraft scheduled to launch in 2023. The first, Brokkr-1, will head to low Earth orbit (LEO) as early as April 2023 on SpaceX’s seventh Falcon 9 rideshare launch. Once in orbit, it will attempt to demonstrate technology AstroForge has developed to refine platinum ore in microgravity conditions. Brokkr-2 will then visit an asteroid and search for platinum resources. If enough platinum is discovered, Bloomberg reports that AstroForge will send a third mission to demonstrate the ability to land on the asteroid. As early as 2025, AstroForge’s fourth mission would be the first to attempt to land, gather ore, turn that ore into platinum, and return the precious metal to Earth.
AstroForge has raised $13 million to date. Unlike failed asteroid mining startups Deep Space Industries and Planetary Resources, the new company intends to exploit increasingly capable off-the-shelf hardware and services to keep its costs as low as possible. In theory, that will allow it to focus most of its resources on developing the unproven technology required to gather and refine space-based resources.
IM-2
Finally, the IM-2 Nova-C Moon lander’s primary payload is a pair of NASA instruments designed to drill into the lunar surface and analyze the regolith for volatiles. Also known as PRIME-1, the mission will be NASA’s first serious exploration of in-situ resource utilization (ISRU) on the Moon.
The mission is a sort of microcosm of the future of space utilization, which may focus heavily on ISRU and refueling to extend the capabilities of chemically-powered rockets and spacecraft. Lunar Trailblazer will map lunar water resources. Brokkr-2 will attempt to prospect an asteroid for extractable metal. IM-2 will test technologies that could help extract resources from the Moon. And Tanker-002 will be a significant step forward for commercial propellant depots, which could eventually create markets for space resources.
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
