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SpaceX, Boeing astronaut spacecraft working towards orbital meet-up in 2020
According to Boeing’s new Starliner testing plan, the spacecraft could potentially meet SpaceX’s own Crew Dragon astronaut spacecraft in orbit at the International Space Station (ISS) later this year.
Following Starliner’s near-catastrophic December 2019 orbital flight test (OFT), Boeing and NASA have finally announced that – at a minimum – a second uncrewed flight test will have to be completed before the company will be allowed to launch astronauts. According to the Washington Post, Starliner’s return to flight is expected to occur no earlier than October or November 2020, 10 or 11 months after it suffered several major software failures during its first spaceflight. While delays to that flight schedule are incredibly likely, it does mean that there’s a chance that SpaceX’s second crewed Crew Dragon launch could coincide with Starliner’s second orbital mission — a first for the two NASA Commercial Crew Program (CCP) providers.
Just one week before NASA and Boeing revealed plans to refly Starliner’s uncrewed flight test, NASA announced that SpaceX’s first operational Crew Dragon launch now has a full four astronauts assigned to it. Scheduled to launch no earlier than Q4 2020, the spacecraft will carry three NASA astronauts and one Japanese (JAXA) astronaut to the ISS, remaining in orbit for at least six months before returning its crew back to Earth. Now, there’s a chance that SpaceX’s first operational Crew Dragon will be joined in orbit by Boeing’s Starliner spacecraft sometime soon after arriving on station.
As previously discussed on Teslarati, Boeing’s Starliner OFT suffered several near-catastrophic close calls in the few days it spent in space, all of which appear to have egregiously shoddy and unqualified software to blame.
“Starliner launched atop a ULA Atlas V rocket on its orbital launch debut (OFT) on December 20th, 2019. Atlas V performed flawlessly but immediately after Starliner separated from the rocket, things went very wrong.
Bad software ultimately caused the spacecraft to perform thousands of uncommanded maneuvering thruster burns, depleting a majority of its propellant before Boeing was able to intervene. Starliner managed to place itself in low Earth orbit (LEO), but by then it had nowhere near enough propellant left to rendezvous and dock with the ISS – one of the most crucial purposes of the flight test. Unable to complete that part of the mission, Boeing instead did a few small tests over the course of 48 hours in orbit before commanding the spacecraft’s reentry and landing on December 22nd.
The Starliner spacecraft also reportedly almost suffered a second major software failure just hours before reentry. According to NASA and Boeing comments in a press conference held only after news of that second failure broke, a second Starliner software bug – caught only because the first failure forced Boeing to double-check its code – could have had far more catastrophic consequences. NASA stated that had the second bug not been caught, some of Starliner’s thruster valves would have been frozen, either entirely preventing or severely hampering the spacecraft’s detached trunk from properly maneuvering in orbit. Apparently, that service module (carrying fuel, abort engines, a solar array, and more) could have crashed into the crew module shortly after detaching.”
Teslarati.com — February 11th, 2020
The only sane response was obviously for NASA to require Boeing to successfully complete a second Orbital Flight Test (OFT), a necessary decision the space agency and card-holder was bizarrely hesitant to acknowledge. Now, almost four months after Starliner was nearly lost on its first orbital flight test, NASA and Boeing have finally stated the obvious and confirmed that a second OFT will be required before astronauts can fly on Starliner. Even then, if things go wrong during OFT2 or Boeing completes the mission but still fails to rectify all faults identified by a joint failure investigation, NASA may still delay the spacecraft’s astronaut launch debut.
SpaceX has undeniably had its own stumbles while developing Crew Dragon, most notably when the first successfully flight-proven spacecraft violently exploded moments before a static fire test in April 2019. SpaceX was able to rectify the responsible design flaws and successfully complete an identical static fire test less than seven months later, followed by a second successful launch less than three months after that. Based on WaPo’s indication that Starliner’s second OFT is scheduled for Q4 2020, Boeing is now anywhere from 12-18 months behind SpaceX with its efforts to launch NASA astronauts to and from the space station. SpaceX successfully completed Crew Dragon’s OFT equivalent in March 2019.
Regardless, if Crew Dragon performs flawlessly during its Demo-2 astronaut launch debut – scheduled no earlier than mid-to-late May – and Boeing’s Starliner OFT2 mission launches on time in Q4 2020, there is a great chance that both spacecraft will be simultaneously docked to the space station. Better circumstances would be unequivocally preferable but it will still mark an important symbolic milestone for NASA’s Commercial Crew Program (CCP) and assured access to the ISS.
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
