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SpaceX’s first orbital-class Starship stretches ‘wings’ ahead of Raptor installation
SpaceX’s first orbital-class Starship prototype was spotted stretching its ‘wings’ on Sunday after completing a successful cryogenic proof test late last week.
While minor relative to almost any other testing milestone, the small step still serves as a reminder that the end goal of Ship 20’s test campaign is a launch on Super Heavy to orbital altitudes and velocities. If that launch goes more or less according to plan, Starship will then attempt to survive an orbital-class reentry for the first time, subjecting it to extreme heat and putting its many thousands of heat shield tiles through their most daunting challenge yet. Dozens of things could (and probably will) go wrong, while almost every system aboard must work perfectly to ensure that Starship makes it through reentry in one piece.
And even if all of that occurs as planned with no major issues, those same systems will still need to hold on for several more minutes to perform a freefall, engine reignition, flip, and landing maneuver that only two other Starship prototypes have completed. As it so happens, one of those crucial systems is Starship’s flaps.
Outfitted with actuators powered by Tesla Model 3/Y motors and a pair of Model S batteries, Starship’s four large ‘flaps’ are only capable of simple flapping motions. While they may look the part, Starship flaps aren’t wings and are specifically designed not to produce lift. Instead, in support of Starship’s unusual descent profile, they act more like the hands and legs of a skydiver (particularly one in a wingsuit), allowing ships to control their pitch, attitude, and roll while freefalling belly-down to the ground. In theory, that allows Starship to gain practically all of the benefit of a structural wing like that on the Space Shuttle but for a far lower mass penalty.
Instead of elegantly slowing down with wings, Starship uses its flaps to create as much drag as possible during descent, slowing down to a terminal velocity around 100 m/s (~225 mph) or less. Using a freefall trajectory and flaps incapable of generating lift does likely come at the cost of “crossrange performance,” referring to how far Starship can travel horizontally in Earth’s atmosphere after reentry. However, significant crossrange performance is almost entirely irrelevant outside of Cold War paranoia like the kind that NASA let influence the Shuttle’s design to an ultimately catastrophic degree. Landing vertically also precludes the need for exceptionally long, expensive runways like those the Shuttle needed.
Aside from allowing it to navigate to a small vertical landing pad (or massive ‘Mechazilla’ catch tower), Starship’s flaps are also important for controlling vehicle orientation and heading during reentry itself. To fill that role, those flaps will have to be able to actuate across their full range of motion during reentry, as Starship’s hypersonic assault against the thin upper atmosphere creates a flood of superheated plasma that wants nothing more to find the gaps in its heat shield. Shuttle engineers had to deal with the same issue, ultimately designing complex seals that would allow the vehicle’s wing and body flaps to actuate during reentry without allowing superheated plasma to leak inside and damage their fragile mechanisms or structure.
Although Starship does have the benefit of relying on steel – not aluminum – for almost all of its structures, it still has to grapple with the same challenges of shielding sensitive electronics, actuators, motors, and more from the reentry onslaught that its heat shield and steel structure are designed to survive.
Half-covered in heat shield tiles, it’s not clear how SpaceX plans to seal off the more sensitive, exposed components of each flap’s actuation mechanism – including motors, cabling, and the hinge itself. Based on what’s visible, Starship’s flaps and the cradle-like ‘aerosurfaces’ they slot into do have very tight tolerances and may rely on some felt-like ceramic wool or TPS blanket to seal the tiny remaining gaps. With small enough gaps, a hypersonic airstream can behave as if there are no gaps at all, suggesting that that might be SpaceX’s preferred approach to sealing Starship flaps.
Up next on Starship S20’s path to launch is the reinstallation of 3-6 Raptor engines (for the third time) ahead of a crucial static fire test campaign that could begin as early as Thursday, October 7th. Likely beginning with 1-3 Raptors, SpaceX will perform an unknown number of static fire tests, ultimately culminating in the first ignition of 4, 5, and 6 engines on any Starship prototype. If all goes well, that testing will also mark the first time Raptor Vacuum has been ignited on a Starship prototype and the first time SpaceX has ignited multiple Raptor variants (sea level and vacuum, in this case) on the same vehicle. Stay tuned for updates on engine installation.
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
