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China successfully sprouts cotton seeds on the moon in a historic first
International discussions about sending humans to the Moon and Mars have brought many challenges waiting to be solved, and among them is food supply. While astronauts aboard the International Space Station (ISS) have been growing and consuming lettuce in space for a few years now, China has achieved a historic milestone by sprouting cotton seeds on the surface of the Moon. The news and corresponding photos were announced today. The seeds were part of a biosphere experiment which, if it performs as intended, will provide helpful data towards the development of sustainable agriculture in environments other than Earth.
China’s Chang’e 4 craft lunar lander arrived January 3, 2019 on the far side of the Moon, and part of its cargo included an aluminum alloy canister equipped with materials necessary for not only plant growth, but a self-sustaining biological environment lead by Chongqing University. Along with cotton seeds, the experiment included rapeseed, potato, and arabidopsis seeds, as well as fruit fly eggs and yeast to form a simple, tiny biosphere. A heat control system and two cameras were also part of the makeup.
Each member of the experiment was chosen with a bioprocess purpose in mind: Potato seeds represented a primary food supply for future space travelers (see also: The Martian), rapeseed could be used to produce oil, cotton seeds for clothing/supply fabric, the fruit fly would act as the consumer, and the yeast could regulate the oxygen and carbon dioxide being exchanged between the fly and the plants. The arabidosposis seeds contribute via its photosynthesis and could be a food source, but the plant is generally considered to be weed with a short growth cycle that could be useful for observation. The seeds and eggs were kept dormant until their lunar arrival, after which time they were watered by the lander. The germination of the cotton seeds alone has not yet been determined or specified by China’s space agency, the China National Space Administration (CNSA).
UPDATE: CNSA announced later on January 15, 2018 that the cotton sprouts are now dead. As the night period on the far side of the Moon set in, temperatures dropped to a level not sustainable in the biosphere canister.
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- The cotton seed sprouts currently living on Earth as a comparable control. | Credit: CNSA/Chongqing University
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- The canister containing China’s Chang’e lunar biosphere experiment on the Moon. | Credit: CNSA/Chongqing University
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- A diagram of the types of seeds included in the Chang’e lunar biosphere experiment on the Moon. | Credit: CNSA/Chongqing University
Self-sustaining habitable environments for off-planet travel have been part of scientific research for decades, including a famous large-scale experiment conducted almost 30 years ago called Biosphere 2 (Earth is Biosphere 1). On September 26, 1991, 8 researchers were voluntarily sealed into a glass and steel structure on over 3 acres of land in Oracle, Arizona for two years, growing their own food and algae to sustain their living conditions, air included. It was supposed to be a step towards establishing space colonies, but unfortunately, low oxygen and food levels along with infighting (i.e., the human component) rendered the experiment a non-success.
While it’s certainly been determined that human interaction will be a big hurdle for long-term space faring missions, the engineering side of sustainable food production off-Earth is still facing challenges of its own and will continue to need development efforts. For example, astronauts on the ISS are currently working with an orbital agriculture experiment called Veggie which has recently faced issues with plant mold. While on Earth, we’ve become accustomed to the benefits provided by our planet’s natural biosphere – things like humidity, sunlight levels, water levels, etc. work in ways that are difficult to reproduce in a completely controlled environment like a spacecraft.
China’s mini biosphere experiment is another important step towards the long-term goal of sustainable off-planet environments. Given the struggles experienced during biosphere attempts on Earth, there might be a slow growth curve towards developing habitats that don’t need tons of resupply. This challenge is clearly acknowledged by the creators of the Chang’e lunar bio-canister. Professor Liu Hanlong, head of the experiment, stated in the seed sprout announcement, “We have given consideration to future survival in space. Learning about these plants’ growth in a low-gravity environment would allow us to lay the foundation for our future establishment of [a] space base.”
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
