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Rocket Lab’s NASA Moon launch to kick off new era of ultra-cheap deep space exploration
Rocket Lab will soon take its tiny Electron rocket further than any similarly-sized vehicle before it, sending a NASA satellite to the Moon and potentially kicking off a new era of unprecedentedly cheap space exploration.
On February 14th, the world-leading small satellite launch company announced – alongside NASA – that the space agency had awarded it a $9.95 million launch contract worth $9.95 million to send the $13.7 million Cislunar Autonomous Positioning System Technology Operations and Navigation Experiment (CAPSTONE) CubeSat to lunar orbit. In other words, NASA has contracted a full-up scientific mission to the Moon for less than $25M total – almost unfathomably cheap compared to all interplanetary exploration performed in the last half-century.
In the same way we opened access to LEO for smallsats, we're excited to become the dedicated ride to the Moon & beyond for smallsats.— Rocket Lab (@RocketLab) February 14, 2020
The mission announcement comes just four months after Rocket Lab announced at the International Astronautical Congress in Washington D.C., that it would utilize its small two-stage rocket, Electron, and proprietary satellite bus platform, Photon, to support lunar orbit missions. It also occurs just two months after the official opening of Rocket Lab’s Launch Complex 2 located in Wallops, Virginia – a dedicated facility to specifically service NASA and the US government launch contracts.
According to Ana Rivera, LSP program integration manager for CAPSTONE, the launch will be Rocket Lab’s “inaugural NASA launch from their new launch site at the Mid-Atlantic Regional Spaceport in Virginia” and is expected to occur in the early part of 2021.
NASA’s CAPSTONE is a tiny spacecraft weighing around 55 lb (25 kg) – small enough for an equally tiny rocket to send it on an improbable journey. Rocket Lab’s two-stage Electron rocket will begin by launching CAPSTONE to LEO, where NASA says Photon – a Rocket Lab-built kick stage and satellite bus – will send CAPSTONE on its way to the Moon. CAPSTONE will then use its own propulsion system to enter a “Near Rectilinear Halo Orbit” (NRHO) around the Moon.
It is important to note that, under its own propulsion, CAPSTONE is expected to take nearly three months to reach its intended orbit around the moon. However, the CAPSTONE mission is an imperative one that could lead to better understandings about the journey to the moon and “can reduce navigation uncertainties ahead of our future missions using the same lunar orbit” according to Marshall Smith, director of human lunar exploration programs at NASA Headquarters.
Rocket Lab founder and CEO Peter Beck stated that Rocket Lab is “able to provide NASA with complete control over every aspect of launch and mission design for CAPSTONE, something typically only available to much larger spacecraft on larger launch vehicles. In the same way (Rocket Lab) opened access to low Earth orbit for small satellites, we’re proud to be bringing the Moon within reach to enable research and exploration.”
Photon – the all-in-one experience
Photon is a satellite bus platform designed with interplanetary delivery and deep space communication in mind. The small, but mighty, launch-to-orbit bus features downlink communication capability, radiation-tolerant avionics, and higher power generation. Photon is also able to precisely deploy multiple small payloads into various orbits enabling multiple mission launches supported by Rocket Lab’s proprietary Curie propulsion system.
In the era of NASA’s Artemis initiative to return astronauts to the moon, Beck explains that “small satellites will play a crucial role in science and exploration, as well as providing communications and navigation infrastructure to support returning humans to the Moon.” In this sense, small satellites will serve as pathfinders and build the necessary infrastructure prior to the arrival of more robust hardware such as NASA’s lunar spaceship Gateway and eventually human space travelers.
To date, Rocket Lab has successfully launched 11 missions and 48 satellites to low-Earth orbit. Eventually, Rocket Lab intends to use a recoverable and reusable Electron to loft Photon on interplanetary missions to lunar fly-by orbits, Near Rectilinear Halo Orbit (NRHO), and low-Lunar Orbit by the end of 2020. The two most recent missions – Running Out Of Fingers and Birds of a Feather – featured an upgraded first-stage of Electron that survived re-entry in one piece. This will hopefully lead to a fully recoverable first-stage rivaling the current recovery efforts of SpaceX with its first stage of the Falcon 9 boosters.
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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
