News
SpaceX-launched Uranus mission a top priority of new decadal survey
The National Academies of Sciences, Engineering, and Medicine have published their latest decadal survey of planetary science and astrobiology, revealing a recommendation that NASA prioritize the development of a flagship mission to Uranus baselined to launch on SpaceX’s Falcon Heavy rocket.
Known as the Uranus Orbiter and Probe or UOP, the mission proposal has been under development by a team of NASA, University of California, and Johns Hopkins University scientists and engineers for several years. In fact, a very similar concept ranked third in the Academies’ 2013-2022 decadal survey flagship recommendations, reiterating its central importance and potential value in the eyes of the survey’s dozens of contributors. According to its creators, in its latest iteration, the Uranus Orbiter and Probe have the potential to fully or partially answer 11 of the 12 primary questions the latest Decadal Survey structured itself around.
Additionally, the survey indirectly states that if it weren’t for the existence of one specific technology, it would have been a wash between a mission to Uranus or Neptune. That keystone: SpaceX’s Falcon Heavy rocket.
While the survey’s authors don’t explicitly point to SpaceX in the context of UOP, they do state that “a Uranus mission is favored because an end-to-end mission concept exists that can be implemented in the 2023-2032 decade on currently available launch vehicles.” In reality, there only appears to be one launch vehicle: Falcon Heavy. Three other alternatives do technically exist: United Launch Alliance’s (ULA) Vulcan Centaur, Blue Origin’s New Glenn, and NASA’s own Space Launch System (SLS).
NASA’s Europa Clipper orbiter – originally manifested on SLS but later moved to SpaceX’s Falcon Heavy to avoid major launch delays – has helped demonstrate that SLS isn’t viable for non-Artemis Program missions without massive production improvements and significant workarounds or design changes. While capable in many regards, Blue Origin’s reusable New Glenn rocket appears to have extremely poor performance beyond Earth orbit – well below what UOP requires – and is unlikely to launch before 2024 or 2025. It’s possible that an expendable New Glenn could suffice but Blue Origin has never mentioned the option and, even then, the rocket’s expendable performance could still fall short.
Finally, ULA’s expendable Vulcan Centaur rocket has yet to launch and its debut could easily slip into 2023. More importantly, according to official information provided by the company to a NASA-run performance calculator, even Vulcan’s most capable variant (VC6) with six solid rocket boosters (SRBs) simply doesn’t have the performance required to launch the Uranus Orbiter and Probe (7235 kg / 15,950 lb) on seven of the mission’s preferred trajectories. For three other secondary windows, Vulcan could potentially launch UOP but only with the inclusion of a Venus gravity assist that would require significant design changes to protect the spacecraft while traveling much closer to the sun.
According to NASA’s calculator, a fully-expendable Falcon Heavy rocket with a standard payload fairing could launch around 8.5-10 tons (18,700-22,000 lb) to UOP’s preferred trajectories, leaving a very healthy margin for spacecraft weight gain or launch underperformance and likely enabling a longer launch window for each opportunity.
If NASA agrees with the survey’s conclusions, decides to develop the Uranus Orbiter and Probe, and also plans on the Academies’ optimistic assumption of an ~18% budget increase on average from 2023 to 2032, work towards a preferred 2031 launch window could begin in earnest as early as 2024. Comprised of a namesake Orbiter and Probe, UOP would arrive in orbit around Uranus in late 2044 or early 2045 weighing around five metric tons (~11,000 lb). The primary science mission would begin by deploying a small atmospheric probe to directly analyze the composition and behavior of the planet’s exotic atmosphere, which is believed to be volatile, prone to vast and violent storms, and host to some of the most extreme winds in the solar system. The probe would weigh ~270 kilograms (~600 lb) and is only expected to survive for a few hours at most.
The orbiter, however, would continue on to tour the Uranian system for at least four years, observing and studying the ice giant and its rings, magnetosphere, and 27+ moons. Uranus itself resides in what may be the most common class of exoplanets in the universe, making a close study of it invaluable for exoplanet science as a whole. It’s also possible that – like several moons around Saturn and Jupiter – one or more Uranian moons have liquid water oceans created by tidal heating, adding to the list of extraterrestrial bodies that might feature habitable environments or alien life.
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
