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SpaceX CEO Elon Musk says Starlink will strive to protect and support science
On the heels of a swelling debate among astronomers about the potential negative scientific impacts of constellations like Starlink, SpaceX CEO Elon Musk says that the company will “make sure [it] has no material effect on … astronomy.”
Additionally, Musk noted that he had already asked Starlink engineers to examine methods of reducing the albedo (i.e. reflectivity) as one potential upgrade for future satellites. Most importantly, however, the 60 satellites launched on March 23rd are just three days into their orbital debut. As the first flight of an entirely new SpaceX-built satellite bus, this is SpaceX’s first time ever attempting to launch or operate so many of its own spacecraft, and Starlink v0.9 is no less of an experiment for SpaceX than it is for unaffiliated observers.
SpaceX’s first 60 finalized Starlink satellites have only just begun the process of on-orbit checkouts and are likely no less than one or several weeks away from some form of commissioning, in which each spacecraft will begin seriously testing its payloads. At the moment, the satellites still need to climb to their final orbits (550 km vs. 450 km) with their own electric ion thrusters and have yet to begin anything resembling static operations.
Once they’ve fully circularized their orbits at 550 km, the 60 (hopefully) satellites can begin those commissioning procedures. This will likely be the first flight-test for a number of new SpaceX-built or designed technologies, ranging from wholly unproven hardware or improved variants of components from the Tintin era to the radically new form factor of the unflown Starlink bus. This includes as many as four in-house phased array antennas per satellite, described by Musk as some of the most advanced commercial antennas in the world.
More than “interference” protection
However, aside from Musk’s assurance that SpaceX would do everything it can to minimize or even entirely prevent interference with scientific research and science-critical astrophotography, the CEO also expressed awareness of the many potential ways Starlink could actually benefit astronomy and other space sciences. Most notably, what SpaceX has actually arrived at with Starlink v0.9 is an extraordinarily cheap, high-performance satellite bus capable of supporting significant payloads, be it high-throughput antennas or something more exotic.
That “something” could be fairly wide-reaching, including astrophysics payloads, radio instruments, lasers, cameras, and maybe even telescopes. Additionally, thanks to their relatively efficient and low-cost ion thrusters, individual Starlink satellites could even be capable of radically changing their orbits, potentially even escaping Earth and heading to destinations like the Moon, Mars, and near-Earth asteroids/comets. Musk has repeatedly raised the possibility of building and launching SpaceX’s own Starlink-based interplanetary spacecraft, a potentially revolutionary concept thanks to their low cost.
Despite the potential scientific value, the fact remains that space-based observatories are unlikely to fully match the ease, affordability, and accessibility of ground-based telescopes for scientific observations for decades, if ever. Until then, SpaceX thankfully sounds more than willing to cooperate closely with international science communities to mitigate or fully prevent the disruption of ongoing research.
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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.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
