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SpaceX stacks Starship nose section for the first time in months
SpaceX has stacked a Starship nosecone section to its full height for the first time in almost a year, featuring an upgraded design that could soon support an ambitious series of flight tests.
Back in August 2019, SpaceX first began stacking the nose section of Starship Mk1 – the first full-scale prototype of any kind. It became clear a few months later that Starship Mk1 was more of a rough proof of concept than a full-fidelity test article, but it still became the first (and only, so far) Starship to reach its full ~50m (~160 ft) height. After serving as a centerpiece during CEO Elon Musk’s September 2019 Starship presentation, SpaceX removed the nose and attempted to test the Mk1 tank section itself, ultimately destroying the ship.
Now eight months distant from Mk1’s demise, SpaceX’s Starship R&D program has entered the prototype mass-production phase. Since January 2020, SpaceX has built five upgraded Starship tank sections (and tested three to destruction), built and tested four stout test tanks, and completed at least 4-5 new nosecone prototypes. For the first time since nosecone production began several months ago, one of the noses has finally been stacked to its full height atop five steel rings.

At the moment, SpaceX is hard at work preparing Starship SN5 for its first wet dress rehearsals (WDRs) with methane and oxygen propellant and either one or several Raptor engine static fire tests. If successful, SpaceX will quickly move to flight test preparations, readying SN5 for a nominal ~150m (~500 ft) hop, though the company is technically no longer restricted to that ceiling. For such a low-altitude test, aerodynamic features like a nosecone or flaps serve no functional purpose, meaning that SN5 is unlikely to ever receive those additions.


Roughly two miles west of the coastal launch and test site SN5 is stationed at, SpaceX has already more or less finished Starship SN6, although the newest ship’s fate is unclear. Pictured above on July 10th, the task of stacking an even newer ship (likely SN8) may already be underway. Last month, SpaceX tested a new ‘test tank’ built out of a different steel alloy said by CEO Elon Musk to be theoretically superior. Two cryogenic pressure tests seemingly confirmed that suspicion, proving that 304L stainless steel fails more gracefully than 301 while still offering similar strength at the pressures Starships operate at. The SN7 test tank was built and tested around the same time as SpaceX was finishing up SN6, implying that the ship was almost certainly built out of 301 steel.
If 304L really is the way forward for future Starship prototypes, the next step will be building an entire ship out of the steel alloy and performing a full cryogenic proof test and wet dress rehearsal. Given that SN5 and SN6 are likely identical (or nearly so), SN6 may have been made redundant before the ship even left the factory floor.

This is all to say that it’s a bit of a mystery where the first upgraded nosecone will find itself in the coming weeks. Like SN6 or SN7, it could either be redundant on arrival, built as practice, or both. It could also be the first nosecone installed on a flightworthy Starship prototype. It’s unlikely but not impossible that SN5 survives its static fires and first hops and is modified to support three Raptors and aerodynamic control surfaces, while SN8 and SN9 are more probable candidates for the first high-altitude, high-velocity test flight(s). SpaceX has at least 3-5 more Starship nosecones strewn about its Boca Chica factory, though, so odds are good that the first new nose section to reach full height won’t be the first to take flight.
For now, Starship SN5 (sans nose) is scheduled to attempt its first wet dress rehearsal (WDR) no earlier than July 16th. If successful, a static fire could follow a few days after that and a hop test another few days later.
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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.