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SpaceX to launch asteroid mining spacecraft alongside private Moon lander
SpaceX customer Intuitive Machines says it will use spare capacity on one of its Moon lander launches to send startup AstroForge’s first asteroid prospector spacecraft into deep space.
Intuitive Machines’ second Nova-C Moon lander is scheduled to launch no earlier than (NET) Q4 2023 on a SpaceX Falcon 9 rocket. The IM-2 lander is the primary payload but is only expected to weigh about 1.9 tons (~4300 lb). To take advantage of the rocket performance left on the table by the relatively light payload, Intuitive Machines has opted to include a secondary payload adapter ring (ESPA) located below each lander. That gives companies like AstroForge an opportunity to hitch a ride to high Earth orbit, deep space, and the Moon for a likely unbeatable price.
Built by UK startup Orbital Astronautics, AstroForge’s Brokkr-2 spacecraft will attempt to become the first private vehicle to prospect for resources on an asteroid. It’s also the third rideshare payload announced for Intuitive Machines’ IM-2 mission.
We’re excited to launch these missions and many more to come. More information on this year’s launches: https://t.co/MSR61V8Lh7— AstroForge (@ForgeAstro) January 24, 2023
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Lunar Trailblazer
Coincidentally, the main purpose of the second IM-2 rideshare payload to be announced is to search for resources in space. It isn’t concerned with asteroids, but NASA’s 200-kilogram (440 lb) Lunar Trailblazer spacecraft is designed to find, characterize, and map water ice resources on the Moon. That map could help future missions explore the possibility of turning lunar ice into commodities like breathable oxygen or rocket propellant.
The challenges facing such a concept are extreme, but a rocket propellant depot located on the lunar surface could significantly increase the performance of future Moon landers. Propellant depots in cislunar orbit could also help boost spacecraft further and faster to destinations elsewhere in the solar system.
Tanker-002
The first IM-2 rideshare payload to be announced was OrbitFab’s Tanker-002 spacecraft. It’s unclear if OrbitFab is on track to fly Tanker-002 in late 2023, but the spacecraft is meant to be the first geostationary propellant depot ever launched. The Colorado startup has already won a $13.3 million contract from the US military to refuel satellites in geostationary orbit, 36,000 kilometers (~22,250 mi) above Earth’s surface. It’s possible that Tanker-002 is meant to support that refueling mission.
The spacecraft is designed to carry a few hundred pounds of hydrazine monopropellant, potentially enabling it to extend the useful lives of multiple multimillion-dollar satellites by several years. Alongside IM-2, Falcon 9 will launch Tanker-002 on a lunar flyby trajectory. But thanks to the cooperation of startup GeoJump, instead of entering orbit around the Moon, Tanker-002 will slingshot around the Moon to slow itself down. That lunar slingshot will allow the depot to efficiently enter geostationary orbit, where it can begin refueling spacecraft.
Brokkr-2
Brokkr-2 is the second of two AstroForge spacecraft scheduled to launch in 2023. The first, Brokkr-1, will head to low Earth orbit (LEO) as early as April 2023 on SpaceX’s seventh Falcon 9 rideshare launch. Once in orbit, it will attempt to demonstrate technology AstroForge has developed to refine platinum ore in microgravity conditions. Brokkr-2 will then visit an asteroid and search for platinum resources. If enough platinum is discovered, Bloomberg reports that AstroForge will send a third mission to demonstrate the ability to land on the asteroid. As early as 2025, AstroForge’s fourth mission would be the first to attempt to land, gather ore, turn that ore into platinum, and return the precious metal to Earth.
AstroForge has raised $13 million to date. Unlike failed asteroid mining startups Deep Space Industries and Planetary Resources, the new company intends to exploit increasingly capable off-the-shelf hardware and services to keep its costs as low as possible. In theory, that will allow it to focus most of its resources on developing the unproven technology required to gather and refine space-based resources.
IM-2
Finally, the IM-2 Nova-C Moon lander’s primary payload is a pair of NASA instruments designed to drill into the lunar surface and analyze the regolith for volatiles. Also known as PRIME-1, the mission will be NASA’s first serious exploration of in-situ resource utilization (ISRU) on the Moon.
The mission is a sort of microcosm of the future of space utilization, which may focus heavily on ISRU and refueling to extend the capabilities of chemically-powered rockets and spacecraft. Lunar Trailblazer will map lunar water resources. Brokkr-2 will attempt to prospect an asteroid for extractable metal. IM-2 will test technologies that could help extract resources from the Moon. And Tanker-002 will be a significant step forward for commercial propellant depots, which could eventually create markets for space resources.
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
