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First living tissue 3D printed in space aboard International Space Station
Using the “Organaut”, a 3D bioprinter designed for microgravity, Russia has become the first country to print living tissue in space. After a December 3rd cargo delivery to the International Space Station (ISS), cosmonaut Oleg Kononenko completed an experiment with the machine in the Russian sector of the station, successfully producing human cartilage tissue and a rodent thyroid gland. The Organaut was designed via a collaboration with the printer’s maker, 3D Bioprinting Solutions, and Russia’s national space agency, Roscosmos. The United States also has its own bioprinting mission scheduled for the first half of 2019, joining in the march to develop biological solutions for problems that space is well suited to solve.
A 3D bioprinter operates by creating one layer at a time of specified tissue or stem cell material arranged as needed to grow and form as biologically programmed to do. As summarized by Aryeh Batt, the CEO of Precise Bio, a company dedicated to 3D printed bioproducts for human eyes, “Essentially, the biology does the work, but you have to put them in the correct environment to make it happen.” In the case of Organaut, an internal robotic mechanism drips living cell fabric layers from an automatic syringe. When living tissue is bioprinted under Earth’s gravity, the artificial cells grow in a flatter structure than their natural state in the human body. In microgravity, however, they form a shape closer to their normal dimensions.
Along with demonstrating the growth advantages of microgravity, Organaut’s tissue samples will provide the ability to study the effect of radiation on the body. “We will look at how the constructs came together, and how they behaved,” confirmed Usef Hesuani, head of laboratory projects and a managing partner of 3D Bioprinting Solutions in a recent press conference. The original Organaut printer was aboard the Soyuz MS-10 spacecraft which experienced an launch failure on October 11, 2018, forcing the U.S. and Russian crew to make an emergency landing. A second one was quickly put together for the subsequent mission.
The parent company of 3D Bioprinting Solutions is INVITRO, the largest private medical company in Russia. Founded in 1995 by Aleksandr Ostrovsky, it has 8 laboratories and over 1000 medical offices in eastern Europe, but is primarily based in Skolkovo, a high technology business area in Moscow. Bioprinting Solutions made headlines in 2015 when it printed and transplanted a functioning mouse thyroid gland. The experiment performed aboard the ISS with Organaut was a modified version of their prior work.
Unlike NASA, Roscosmos does not generally partner with private companies for its research endeavors. In an effort to inspire Russian students to enter STEM fields within their country, the agency sought to spotlight the developing bioprinting industry by using the Organaut. The successful partnership with 3D Bioprinting Solutions has now motivated the agency to continue partnering with private companies in the future. The company itself also sees advantages to collaborations of its own with other Skolkova-area manufacturers. “We have companies that are making satellite platforms…it is possible to conduct a similar experiment amid microgravity on small spacecraft [like satellites]…smaller and cheaper,” noted Ivan Kosenkov, 3D Bioprinting Solutions’ project manager.
Organaut’s printed tissues were returned to Earth with the Soyuz MS-09 spacecraft on December 20th, and the results of the experiment are expected to be published at the end of January 2019. In February, NASA plans to send a bioprinter capable of producing beating heart tissue to the ISS. Named the 3D BioFabrication Facility (BFF), the machine was developed through a partnership with two companies well-established in 3D printing and on-orbit hardware, nScrypt and Techshot. Since the thickness of heart tissue is difficult to build under gravity without structural assistance that could impede functionality, the companies developed the BFF with the hypothesis that microgravity would overcome this limitation. Thus far, the concept has been proven during parabolic flight tests, i.e., aboard the “Vomit Comet” airplane that performs multiple parabolic maneuvers in an airliner to create 20-30 seconds of weightlessness each.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
