News
Boeing, NASA attempt Starliner landing after missing intended orbit
During the early morning hours of Friday, December 20th, at Space Launch Complex – 41 at Cape Canaveral Air Force Station United Launch Alliance successfully launched a uniquely configured, rated for human spaceflight Atlas V rocket topped with the Boeing Starliner crew capsule to complete its inaugural Orbital Flight Test to the International Space Station (ISS).
However, following the stunning sunrise launch and successful spacecraft separation, Starliner experienced an anomaly with an automated mission event timer which hindered a crucial orbital insertion burn from being completed.

The missed burn and the resulting domino effect of consequences cut Starliner’s journey short. In a joint media teleconference held Saturday, December 21st including NASA Administrator Jim Bridenstine, Boeing senior vice president of Space and Launch Jim Chilton, and deputy manager of NASA Commercial Crew Steve Stich, it was confirmed that just 48 hours following launch Starliner is expected conclude the test flight and return for a controlled landing at White Sands Missile Range in New Mexico.
Initially, Starliner was expected to spend approximately 8 days docked on orbit with the ISS for a return journey tentatively scheduled to occur on December 28th. The lack of orbital insertion and consequential overuse of fuel consumed by smaller incremental burns performed throughout the day on Friday to place Starliner in a safe orbit all but guaranteed that the spacecraft would miss its opportunity to rendezvous and autonomously dock with the ISS, a pivotal objective of the orbital test flight. A fact that was later confirmed on Twitter by Bridenstine.
During the teleconference, Starliner was described as a healthy spacecraft that had in fact achieved circular safe orbit approximately 250km above sea level, lower than would have been achieved had the initial burn occurred as planned. As docking with the ISS was completely out of reach and Starliner remained under tight constraints of how long it could maintain free orbital flight, Boeing and NASA teams jointly decided to bring Starliner home as soon as possible.
While Starliner remained on orbit Friday and Saturday, flight controllers completed many OFT mission objectives. A number of the achievements were outlined in a statement posted to Boeing’s Starliner updates webpage.

“Entry, descent, and landing is not for the faint of heart.” – Jim Chilton
While many OFT mission objectives were successfully met during the dramatically cut short mission the entire goal of Starliner still remains. After all, Starliner is designed to ferry human astronauts safely to and from the ISS. A huge part of that is re-entering the Earth’s atmosphere and landing under survivable conditions.
Enough of Starliner’s fuel was preserved to afford multiple opportunities to safely land. Two opportunities to land at the planned site of White Sands Space Harbor on the White Sands Missile Range in New Mexico. This location may sound familiar as it is the same location where a different Starliner test capsule recently completed a pad abort test.
NASA and Boeing teams are targeting a landing attempt on Sunday 7:57 am EST (1257 GMT). Should it be needed a backup landing attempt at 3:48 pm EST (848 GMT) in the same location is also available. An anthropomorphic test dummy dressed in Boeing’s recognizable blue spacesuit inside the capsule nicknamed “Rosie the Rocketeer” is wired up with sensors to collect data reflecting the conditions a human astronaut would experience during descent.

NASA will livestream the landing attempt and recovery efforts on NASATV beginning at 5:45 am EST (1045 GMT).
Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.
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.