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SpaceX’s orbital Starship prototype sheds tiles, comes to life during first tests
After weeks of mostly invisible – albeit slow and steady – work at Starbase’s suborbital launch and test facilities, SpaceX has finally kicked off the first orbital Starship prototype’s first test campaign.
Almost two months ago, Starship 20 (S20) departed the factory it was built in for the first time and was rolled a few miles down a South Texas highway to Starbase’s nascent orbital launch site. There, SpaceX briefly installed Ship 20 on top of Super Heavy Booster 4 (B4) – an important first and one done with the same ship and booster pair CEO Elon Musk says could eventually support the rocket’s inaugural orbital launch attempt. Mere hours after that August 6th photo opportunity and fit test, Ship 20 was rolled back to the Starbase build site for another week of work before again returning to the launch site.
This time around, Starship S20 headed for one of two suborbital launch and test stands and ultimately spent the better part of the next six weeks sitting in place as workers swarmed around the 50m (~165 ft) tall spacecraft and upper stage to prepare it for the next steps. In theory, those steps were simple enough, beginning with the completion of two basic qualification tests – the same tests that a half-dozen prototypes preceding Ship 20 completed without issue.
Effectively SpaceX’s first Starship or Super Heavy test of any kind in more than two months, it thankfully didn’t take long for things to get interesting. Before the pad had even been cleared of the last few remaining workers, Starship S20 violently shed a good dozen or so fragile heat shield tiles. CEO Elon Musk quickly confirmed speculation that Starship S20 had effectively jetted the tiles off its nose during a brief test of high-pressure cold gas maneuvering thrusters, coincidentally around the same time as SpaceX began to pressurize the rocket for its first tests.
Going into what was believed to be Starship S20’s first ambient-temperature pressure test and cryogenic proof test, the loss of some heat shield tiles was almost universally expected. In a structure as large as Starship, even just the thermal contraction of steel at supercool temperatures (and expansion as it warms back up) could change the rocket’s diameter an inch or so, potentially causing tiles to scrape or press against each other. About the size of a dinner plate and the thickness of an average paperback book, Starship’s ceramic heat shield tiles have proven to be very fragile, with dozens routinely chipping, cracking, and shattering during and after installation on Ship 20.
One unique (and no less unproven) aspect of Starship is SpaceX’s decision to mount its heat shield directly to the thin steel propellant tanks and skin that make up the rocket’s entire airframe. SpaceX’s first stab at the problem involves studs/pins welded – by robot – directly to the exterior of Starship’s tanks and skin. By embedding small metal plates inside each cast tile, they can be easily installed by aligning the tile and pressing it against each set of three barb-like pins, which then irreversibly lock in place. Over most of Starship’s hull, SpaceX then tacks on blankets of off-the-shelf ceramic wool insulation before tiles are installed on top of that steel and blanket sandwich. Compared to the Space Shuttle and Russia’s Buran, the only other orbital spacecraft to fly with non-ablative heat shields, Starship’s thermal protection system (TPS) is incredibly simple. Of course, the challenges imposed on heat shields by mechanical stresses during launch/landing, orbital reentry, and a need for rapid reusability are anything but simple.
As such, to see tiles blown off Starship S20 by cold gas maneuvering thrusters that were simply placed too close to adjacent TPS was an unexpected route to an expected outcome. During Monday’s nine-hour test window, SpaceX appeared to partially or fully pressurize Starship S20 at ambient temperatures before aborting a cryogenic proof test either before or just after it began. While an ambient-temperature proof was the easier of the two tests on the docket, it’s still encouraging to see no obvious tile loss caused by the actual mechanical stresses involved in the test.
Most importantly, compared to losing dozens of tiles to regular mechanical or thermal stresses, fixing an issue with thruster impingement is much easier and should only require a few design tweaks to one specific Starship component. The real nail-biting moments will come during Starship S20’s seemingly imminent cryogenic proof and static fire debuts, major TPS issues during either of which could necessitate vehicle-wide design changes and cause delays.
With any luck, whatever forced SpaceX to abort Starship S20’s first cryogenic proof test can be easily rectified, opening the door for additional attempts. Two more test windows are scheduled later this week from 5pm to 11pm CDT on Tuesday and Wednesday. Rewatch today’s brief testing below.
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
