Brian Taylor, who helped build satellites for networks like SpaceX's Starlink and Amazon's Leo, founded Lux Aeterna in December 2024 to develop satellite structures with a built-in heat shield that will allow them to return to Earth with their payloads intact. The company, which came out of stealth last year, announced a new $10 million seed round Tuesday morning led by Konvoy, with participation from Decisive Point, Cubit Capital, Wave Function, Space Capital, Dynamo Ventures, and Channel 39. The company declined to disclose its valuation. The capital will support the design and construction of Lux Aeterna's Delphi spacecraft, which has a confirmed spot on a SpaceX rocket expected to launch in the first quarter of 2027. That mission will prove out Lux's technology by offering customers a chance to test hosted payloads and materials that will then be returned to Earth at Australia's Koonibba Test Range through a partnership with the aerospace company Southern Launch. Bringing anything back from space requires diving back into Earth's atmosphere at incredibly high speeds, which generates extreme heat. Spacecraft that want to survive the journey must be covered in materials that protect them from that heat, adding extra weight. Because that weight makes getting to space on a rocket more expensive, most spacecraft aren't designed for a return journey....

The first week of March was a relatively brisk period for large startup funding rounds, led by three deals of $500 million or more in the space tech and AI infrastructure sectors. In addition, we saw some good-sized deals around healthcare, neuroscience and enterprise software. 1. Sierra Space, $550M, space tech: Sierra Space, a space and defense tech company that designs and manufactures satellites, spacecraft and space subsystems, secured $550 million in equity funding led by LuminArx Capital Management. The financing sets an $8 billion valuation for the 5-year-old, Louisville, Colorado-based company. 2. (tied) Ayar Labs, $500M, AI infrastructure: Ayar Labs, a producer of co-packaged optics for use in AI infrastructure, landed $500 million in Series E funding led by Neuberger Berman. The financing sets a $3.75 billion valuation for the 11-year-old, San Jose, California-based company. 2. (tied) Vast, $500M, space tech: Long Beach, California-based Vast, a startup developing next-generation space stations, announced it has raised $500 million in fresh funding. The financing includes $300 million in Series A equity and $200 million in debt, with Balerion Space Ventures as lead investor....

Flying on Mars ' or any other world ' is an extraordinary challenge. An autonomous spacecraft, operating millions of miles from pilots or engineers who could intervene on Earth, must be able to navigate unfamiliar and changing environments, avoid obstacles, land on uncertain terrain, and make decisions entirely on its own. Every maneuver depends on careful perception, planning, and control systems that are fault-tolerant, allowing the craft to recover if something goes wrong. A single miscalculation can leave a multi-million dollar spacecraft face-down on the surface, ending the mission before it even begins. 'This problem is in no way solved, in industry or even in research settings,' says Nicholas Roy, the Jerome C. Hunsaker Professor in the MIT Department of Aeronautics and Astronautics (AeroAstro). 'You've got to bring together a lot of pieces of code, software, and integrate multiple pieces of hardware. Putting those together is not trivial.' Not trivial, but for students nearing the culmination of their Course 16 undergraduate careers, far from impossible. In class 16.85 Autonomy Capstone (Design and Testing of Autonomous Vehicles), students design, implement, deploy, and test a full software architecture for flying autonomous systems. These systems have wide-ranging applications, from urban air-mobility and reusable launch vehicles to extraterrestrial exploration. With robust autonomous technology, vehicles can operate far from home while engineers watch from mission control centers not too different from the high bay in AeroAstro's Kresa Center for Autonomous Systems....

This is an interesting recruitment strategy after the company's merger with Musk's rocket maker, SpaceX, and the combined company's anticipated IPO. You might think that xAI employees ought to be fascinated with achieving AGI, using deep learning models to disrupt traditional software companies, or simply bad wordplay like 'Macrohard.' But instead, Elon is going to the moon. After outlining plans to build AI data centers in orbit, the primary synergy between the two companies, Musk took the idea further. 'What if you want to go beyond a mere terawatt per year'' Musk asked. 'To do that, you have to go to the moon'I really want to see a mass driver on the moon that is shooting AI satellites into deep space.' In Musk's telling, the step beyond data centers orbiting Earth is even larger computers in deep space. And furthermore, Musk says the best way to achieve that is to build a city on the moon to manufacture space computers and hurl them into the solar system using a big maglev train. If that all feels a bit much, veteran Musk watchers know there's a clue about where the discussion appears in a video of an all-hands meeting xAI shared with the public. The slide describing the moon base comes at the end of the presentation deck, where, during SpaceX pep talks, Musk typically shares renderings of SpaceX rockets landing on Mars and waxes rhapsodic about the future of multi-planetary humanity....