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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’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
