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SpaceX’s first high-altitude Starship gets ready to prove itself
SpaceX has begun outfitting its first high-altitude Starship prototype with the basis of functional aerodynamic flaps, potentially paving the way for the ship’s first crucial proof test(s) in the near future.
Unsurprisingly, the first real attempt to install the functional ‘flaps’ Starships will use to fall back to Earth and land has been (relatively) slow going. The tank and engine section of Starship serial number 8 (SN8) – the high-altitude prototype-to-be – was stacked to its full height around August 27th. Shorthand for curved steel sections meant to make Starships more aerodynamic and protect sensitive mechanisms, the first signs of functional ‘aerocovers’ arrived in Boca Chica a few days later on August 31st.
A much longer aerocover appeared on September 11th and SpaceX appeared to begin installing it on Starship SN8 around September 14th, temporarily tack-welding it to the rocket’s hull. SpaceX may be using a sort of alignment jig (bottom photo above) to ensure that the extremely thin and flexible steel covers are easily installed in a uniform fashion where they’re supposed to be.
If not, the LEGO-esque structure could also be a rudimentary frame for Starship’s aft flaps – heavy and inefficient but extremely cheap and easy to build and tweak. Most of that work is being done inside SpaceX’s Starship assembly building, largely hidden from sight from public perspectives, so it’s hard to say anything with certainty until SN8 rolls out for the first time.
When that milestone will come is unclear, likely to the extent that even SpaceX isn’t sure. Currently, it’s unknown if SpaceX will fully outfit Starship SN8 with a nosecone and all four flaps before putting the prototype through its first proof tests – possibly up to and including the first static fire test with three Raptor engines. Starship SN8 is the first full-size prototype built out of a new steel alloy and while that alloy is currently being tested to its limits by test tank SN7.1, proving SN8’s integrity first would save a lot of time and effort in the event that SpaceX has more to learn about the limits of 304L steel and the ship fails during basic testing.
If SpaceX chooses to perform a cryogenic proof test prior to fully installing flaps and a nosecone, Starship SN8 could feasibly roll to the launch pad well before the end of the month. In fact, SpaceX moved a hydraulic ram used to simulate Raptor thrust back to the main test stand – where SN8 will likely undergo its first tests – on September 19th. Typically, that ram has been installed just days before a Starship is transported from factory to launch pad.
In the event that SpaceX chooses to perform a cryo proof test and/or static fire prior to fully integrating Starship SN8, the ship could likely be easily moved back to the factory to have its nosecone and flaps installed. Either way, chances are good that SN8 will be ready to head to the launch pad for its first test campaign within the next two weeks.
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Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
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.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
