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SpaceX ‘destacks’ Starship and Super Heavy: what’s next?
On February 14th, a bit less than four days after the giant rocket was used as a backdrop for CEO Elon Musk’s first Starship presentation in years, SpaceX lifted Starship off of the Super Heavy booster and lowered the upper stage to the ground.
In early August 2021, the same pair – Booster 4 and Ship 20 – were stacked for the first time for what was described as a fit test. After briefly forming the largest rocket ever assembled, the stages were ‘destacked’ about an hour later and would ultimately return to the Starbase factory for finishing touches. Six months, one ship cryoproof, three booster cryoproofs, and three ship static fire tests later, Ship 20 and Booster 4 were once stacked to form a massive 119-meter-tall (390 ft) tall rocket
This time around, Starship S20 was stacked on top of Super Heavy B4 not with a giant crane but with a ‘launch and integration tower’ that had been outfitted with three giant arms in the interim. The tower’s main pair of arms – ‘chopsticks’ – lifted the ~100-ton (~220,000 lb) Starship almost 100 meters off the ground, swung it over Super Heavy, and then carefully lowered the stages until Super Heavy was able to latch on.
On its first true demonstration, the complex process went far smoother than anyone outside of SpaceX expected, taking the tower just four or so hours from the start of the lift to hard mate. On February 10th, shortly before Musk’s Starship update, SpaceX even opened the ‘chopsticks’ to their full breadth, leaving all of Starship S20’s weight on Super Heavy B4 and also demonstrating what the pad will likely look like moments before the first orbital Starship launch.
On February 14th, after about four days fully stacked, the tower arms reattached to Ship 20, detached from Super Heavy, and lowered the Starship back to the ground, where it was eventually installed on a transport stand. Later that night and early the next day, SpaceX then moved the ship to a small concrete pad adjacent to the launch tower that’s believed to be meant for cryogenic proof testing. It’s unclear why SpaceX didn’t tested the fully stacked Starship given that both ship and booster have already completed multiple cryogenic proof tests (or wet dress rehearsals with real propellant) over the last few months.

It’s also unclear what more SpaceX can gain from testing Ship 20 on the ground, short of full-stack operations. On Sunday, February 13th, SpaceX did, however, begin filling the orbital launch site’s fuel tanks with liquid methane (LCH4) for the first time. It’s possible that instead of using Ship 20 to test any aspect of the relatively ancient Starship prototype, SpaceX will use Ship 20 to test the orbital tank farm – particularly the fuel side of the farm, which has yet to be tested. Perhaps after testing those systems on the ground, SpaceX will re-stack Ship 20 and Booster 4 and perform a similar wet dress rehearsal to test the tower’s plumbing, the ship-fueling arm, and the overall structural integrity of the fully-stacked rocket.
SpaceX has test windows tentatively scheduled on February 16th, 17th, and 18th.
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.