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Elon Musk says SpaceX’s orbital Starship debut headed for FAA faceoff in a few weeks

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CEO Elon Musk says that SpaceX’s first completed Starship rocket could be ready for its orbital launch debut just “a few weeks” from now – far sooner than most expected.

On August 6th, SpaceX very stacked that same vehicle – Starship 20 (S20) and Super Heavy Booster 4 (B4) – to its full height for the first time ever, briefly creating the largest rocket ever assembled. However, the feat was equally a symbolic photo opportunity. SpaceX did install an unprecedented number of Raptor engines on Booster 4 and Ship 20 in a spectacularly short timeframe and both stages are technically meant for flight, but Starship S20 was demated less than an hour later and shipped back to the factory shortly thereafter.

Though they’d had Raptors installed and been stacked to their full ~120m (~390 ft) height, neither booster or ship were truly complete and at least 20% of their engines had yet to be qualified at SpaceX’s McGregor, Texas test campus. Both needed a week or two of additional work – mostly just wiring avionics and installing secondary and tertiary plumbing. Curiously, on August 13th, Starship S20 was once again rolled to SpaceX’s Boca Chica launch site in a partial state of completion, where it now sits beside the orbital launch mount for unknown reasons.

After several days of delays, SpaceX also removed Super Heavy B4 from the orbital launch mount and returned it to the build site on August 11th, where teams are still working to finish its secondary plumbing and avionics. Like Ship 20, all of its Raptors were removed soon after its return, freeing both to complete cryogenic proof testing without risking dozens of potentially flightworthy rocket engines.

Like all previous Starship prototypes, those ‘cryo proof’ tests will involved loading Ship 20 and Booster 4 with supercool liquid nitrogen (LN2), simulating the weight and extreme thermal stress of real liquid oxygen (LOx) and methane (LCH4) propellant without the risk of a catastrophic fire or explosion in the event of anomalies.

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For more than a month, SpaceX also gradually outfitted one of two suborbital launch mounts with special hydraulic rams that would have simulated the thrust of Ship 20’s three sea level and three vacuum-optimized Raptor engines – the first Starship prototype with such a configuration. The same was true for Booster 4 and SpaceX had outfitted a new test jig with nine hydraulic rams labeled “B4” – clearly meant to simulate the thrust of nine engines pushing against the Super Heavy’s thrust puck. Additionally, a far larger structural test tool unofficially nicknamed the ‘can crusher’ has been more or less finished after ~6 weeks of work, leading many to assume that Booster 4 would be the first Super Heavy to be subjected to the immense simulated thrust of 29 Raptor engines.

However, earlier this week, SpaceX completely disassembled the six hydraulic rams installed on Mount B and removed all nine rams from the apparent Booster 4 jig. Starship S20 was then rolled back to spot beside the orbital launch mount – not the suborbital mount that had been carefully prepared for its test campaign mere days prior. At the time, the only practical explanation – save for some kind of catastrophic miscommunication – was that SpaceX had cancelled clear plans to cryo proof Ship 20 and Booster 4 with simulated Raptor thrust.

Up to now, every single major design change implemented on Starship’s engine section has resulted in the first prototype – and often one or several test tanks – being subjected to cryo proof testing with a complex series of hydraulic rams used to simulate thrust. That most recently peaked with SpaceX’s lone BN2.1 Super Heavy test tank, which seemingly passed a cryo proof, pressure test, and a jig capable of simulating the thrust of up to eight Raptor engines. However, SpaceX has never tested Super Heavy’s new nine-engine thrust puck and has certainly never subjected a Super Heavy booster skirt to the combined thrust of 20 outer engines and 9 center engines.

The fact that complex custom test stands and jigs had already been assembled and installed for Ship 20 and Booster 4 before they were removed or disassembled without use strongly implies that someone at SpaceX – presumably Elon Musk himself – has either decided that those tests are unnecessary or that skipping them is worth the substantial risk. Indeed, for Musk’s subsequent August 15th claim that Ship 20 and Booster 4 could be stacked and ready for flight just “a few weeks” from now to come true, 14-21 days is simply nowhere close to enough time to cryo proof, thrust sim, and static fire both vehicles; integrate the stages; and perform the first true integrate testing of a Starship stack – possibly up to and including some combination of a full-stack cryo proof, wet dress rehearsal, or static fire.

And, as Musk himself notes, that complex ballet of first-of-their-kind rocket prototypes might not even be the long straw for Starship’s orbital launch debut. Technically, short of some kind of major legal intervention, there is actually no way for Starship to launch in the next “few weeks.” In an absolute best-case scenario, the Federal Aviation Administration (FAA) would release a draft environmental review of SpaceX’s orbital Starship launch site today, accept public comments for the required 30 days, instantly clear Starbase with environmental approval within a few days of the public comment window, and then approve Starship’s South Texas orbital launch license as soon as the necessary environmental permissions are in hand.

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In other words, the best-case ETA of regulatory approvals for Starship’s first orbital test flight is arguably late September and going off of FAA precedent, that optimistic scenario is also a fairy tale. In reality, a bare minimum of 2-3 months after the FAA releases its draft environmental impact statement is a more realistic best-case scenario for SpaceX. On the opposite end, it’s possible that the FAA will decide that SpaceX needs to complete an entirely new environmental review for its Starbase launch site, easily delaying Starship’s orbital launch debut by 6-12+ months. That doesn’t even account for the potential looming challenges SpaceX might have to surmount to secure an orbital Starship launch license.

Given the challenges SpaceX had in securing even a watered-down suborbital launch license for its medium-altitude Starship flight tests, it’s not out of the question that the FAA could attach some extremely onerous limitations to that license. Ultimately, only time (and the slightest hint of actual movement or urgency at the FAA) will tell and there is arguably nothing that would better apply pressure in the right places than the largest, most powerful, most ambitious rocket ever built sitting – ready for flight – at a brand new launch pad, waiting solely on regulatory approval.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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(Credit: Tesla)

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. 

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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. 

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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.

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Credit: xAI

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.

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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.

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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.

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Credit: Tesla

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.

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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.

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