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Rocket Lab spacecraft sends NASA’s CAPSTONE mission to the Moon
Rocket Lab has successfully sent a small NASA spacecraft on its way to the Moon, acing the complex interplanetary launch on its first try.
The public aerospace company’s (mostly) standard two-stage Electron rocket lifted from its New Zealand-based LC-1 pad on June 28th and inserted NASA’s tiny 25-kilogram (~55 lb) “Cislunar Autonomous Positioning System Technology Operations and Navigation Experiment” (CAPSTONE) spacecraft into a low Earth parking orbit without issue. As is fairly typical for most modern Electron launches, a small ‘kick stage’ was included for orbital operations and payload deployment, but CAPSTONE’s kick stage and destination were anything but typical.
Instead of slightly and briefly tweaking a run-of-the-mill low Earth orbit, CAPSTONE’s kick stage was tasked with sending the spacecraft (and itself) all the way from LEO (~300 kilometers) to a lunar transfer orbit with an apoapsis 1.2 million kilometers (~750,000 mi) from Earth.
To accomplish that feat, Electron’s extensively upgraded Lunar Photon kick stage would need to perform more than half a dozen major burns spread out over almost a week, and survive hostile conditions while maintaining total control throughout. Generally speaking, Rocket Lab offers three kick stage variants: a standard low-thrust, low-longevity stage for small orbital adjustments shortly after launch; an upgraded Photon that can either serve as a long-lived satellite or kick stage; and an even more upgraded Photon with large propellant tanks and a more powerful ‘HyperCurie’ engine. With an impressive 3200+ meters per second of delta V, the latter variant could boost significant payloads into higher Earth orbits but is primarily designed for deep space missions – sending payloads beyond Earth orbit.
Rocket Lab wants to launch its own self-funded mission(s) to Venus, delivering one or several small atmospheric probes to help peel back the curtain on the chronically under-explored planet. It also won a 2021 contract to supply a pair of Mars-bound Photon spacecraft buses for NASA’s Escape and Plasma Acceleration and Dynamics Explorers (ESCAPADE) in 2024, and has multiple orders for simpler Photons that will support slightly more ordinary missions back in Earth orbit.
Lunar Photon’s performance on CAPSTONE bodes extremely well for those ambitious future plans. Within hours of reaching orbit, Photon had begun the orbit-raising process. Over the course of five days, Photon performed six major burns, effectively taking larger and larger ‘steps’ towards the Moon. The spacecraft’s seventh and final burn boosted its apoapsis almost tenfold from ~70,000 to 1.2 million kilometers from Earth, officially placing CAPSTONE on a ballistic lunar trajectory (BLT). While highly efficient, CAPSTONE’s trajectory means it will have to wait until November 2022 to truly enter orbit around the Moon using its own small thrusters.
Once there, “CAPSTONE will help reduce risk for future spacecraft by validating innovative navigation technologies and verifying the dynamics of” lunar near-rectilinear halo orbits (NRHO). The story behind that strange lunar orbit – which will make exploring the Moon’s surface significantly less convenient – is far less glamorous, however. CAPSTONE is essentially a tiny precursor to NASA’s Artemis Program, which the agency claims will help “establish the first long-term presence on the Moon.”
In reality, NASA’s concrete plans currently include a series of short and temporary human landings in the 2020s. While the agency has contracted with SpaceX to develop a potentially revolutionary Starship Moon lander for a single uncrewed and crewed demonstration mission, NASA’s current plan involves using its own Space Launch System (SLS) rocket and Orion spacecraft as a sort of $4 billion lunar taxi to carry astronauts from Earth’s surface to a Starship lander waiting in lunar orbit. Starship will then carry those astronauts to the surface, spend about a week on the ground, launch them back into lunar orbit, and rendezvous with Orion, which will finally return them to Earth.
Orion’s service module delivers about half as much delta V as NASA’s 50-year-old Apollo Service Module, severely limiting its deep space utility and making safe crewed trips to and from low lunar orbits virtually impossible on its own. Instead of improving the spacecraft’s performance and flexibility by upgrading or replacing the European-built service module (ESM) over the last decade, NASA accepted that Orion would only ever be able to send astronauts to lunar orbits that would always be inconvenient for surface operations.
CAPSTONE’s ultimate purpose, then, is to make sure that spacecraft operate as expected in that compromise orbit – only necessary because Orion can’t reach the lower lunar orbits that are already thoroughly understood.
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.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
