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SpaceX installs first ‘Mechazilla’ arm on Starship launch tower
One month after SpaceX stacked Starship’s South Texas ‘launch tower’ to its full height, the company has installed the first arm on what amounts to the backbone of ‘Mechazilla.’
At the end of July, after less than four months of work, a team of SpaceX workers and contractors installed the final prefabricated section of a ~145m (~475 ft) tall tower meant to support orbital Starship launches. Above all else, SpaceX’s first custom-built ‘launch tower’ is a sort of backbone or anchor point for several massive, mechanical arms that will accomplish the actual tasks of servicing – and, perhaps, catching – Starships and Super Heavy boosters.
Work on all three of the arms expected to make up what SpaceX CEO Elon Musk has described as “Mechazilla” has been visibly underway since the last week of June as a small army of welders carefully assembled dozens of sections of heavy-duty steel pipe into house-sized frames. Almost exactly two months later, SpaceX has installed the first of those three arms on the exterior of Starship’s skyscraper-sized launch tower.
Known as the tower’s quick-disconnect or QD swing arm, the standalone structure is reportedly designed to accomplish a few different tasks. First, as its unofficial name might suggest, the QD arm will hold a quick-disconnect umbilical connector that will temporarily attach to the base of Starships to load them with fuel, oxidizer, and other consumables and link them to ground power and networking. For years, it appeared that SpaceX planned to fuel Starship upper stages through their Super Heavy boosters, which will themselves be connected to umbilical panels on a table-like launch mount that sits beside the tower.
However, once work began on Starship S20, the first potentially space-capable prototype, it was clear that SpaceX had foregone the umbilical plate normally installed at the base of Starship skirts and moved that connection to the ship’s lower back. Musk later confirmed as much in interviews and tweets, revealing that longstanding plans to dock Starships aft to aft for in-space refueling were also up in the air. As of late, aside from reiterating that the launch pad itself (“Stage Zero,” per Musk) is even more complex and difficult than Starship or Super Heavy, SpaceX’s CEO has also repeatedly stated a desire to offload as many systems as possible onto the launch pad – seemingly regardless of the complexity of the alternative.
Enter the building-sized robot informally known as Mechazilla. While the relatively simple swinging ‘QD arm’ that will fuel Starship and stabilize both stages of the rocket is a common feature of rockets and launch pads, the only experience SpaceX itself has with umbilical swing arms is the Crew Access Arm (CAA) that allows astronauts and cargo to board Dragon spacecraft after Falcon 9 goes vertical – a structure with near-zero umbilical utility. Technically, the transporter/erectors (T/Es) that cradle Falcon rockets, lift them vertical, and fuel them before launch have some similarities with swing arms but SpaceX has always used simpler and more reliable passive mechanisms whenever possible.
A step further, though, SpaceX has also seemingly foregone the installation of a basic crane on top of its Starship tower and Musk himself has developed an almost infamous aversion to the inclusion of something as seemingly simple as landing legs on Super Heavy boosters – and, eventually, perhaps even (some) Starship variants. Instead of adding rudimentary legs to Super Heavy prototypes, Musk has seemingly pushed SpaceX to turn Starship’s launch tower into a complex, vulnerable, and fragile rocket recovery system. Beyond the comparatively mundane QD arm, Musk says that SpaceX will ultimately install a pair of massive house-sized steel arms mounted on a sort of external elevator. Those arms will apparently be capable of actuating and moving up and down the tower with the speed, precision, and reliability needed to quite literally catch Super Heavy boosters – and, eventually, Starships – out of mid-air.
The team tasked with designing and building those rocket-catching arms have affectionately deemed them “chopsticks” – a nod towards the kind of nuanced actuation they’ll need to recover the world’s largest rocket boosters and upper stages without missing or destroying them. Having really only just perfected propulsive vertical landing with Falcon 9 and Falcon Heavy boosters, SpaceX thus intends to throw a few extra points of failure into the mix.
To SpaceX and Musk’s credit, whether the company’s second attempt at catching rockets goes as well as the first, some version of the massive ‘chopstick’ arms SpaceX is working on was likely going to be necessary just to rapidly turn around boosters and Starships – and do so regardless (within reason) of weather conditions. By replacing a tower crane with giant arms, SpaceX will hopefully be able to stack Starship on Super Heavy (and Super Heavy on the launch mount) even in the high winds that are almost always present on the South Texas Gulf Coast. If SpaceX can also reliably catch boosters with those arms, it could be a significant upgrade for the operations side of Starship reusability. For now, though, only time will tell.
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
