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Boeing's astronaut capsule flies off course, fate uncertain after launch debut
Roughly 30 minutes after lifting off for the first time on a United Launch Alliance (ULA) Atlas V rocket, Boeing’s Starliner crew capsule suffered a major failure when it attempted to raise its orbit with onboard engines.
A few hours after the failure came to light, NASA and Boeing held a press conference to update members of the media on the situation, with the space agency offering some candid – if a bit odd – insight into Starliner’s anomalous launch debut. Before the spacecraft’s software threw a wrench into the gears, the plan was for Starliner to separate from ULA’s Atlas V Centaur upper stage and use its own thrusters to reach orbit and begin the trek up Earth’s gravity well to the International Space Station (ISS).
While it will likely take weeks or even months for Boeing and NASA to determine exactly what went wrong during the mission, preliminary information has already begun to paint a fairly detailed picture.
Around 15 minutes after liftoff, Starliner separated from the rocket as intended but it appears that things began to go awry almost immediately afterward. Most notably, according to NASA administrator Jim Bridenstine’s tweets and later comments, a very early look at the telemetry suggests that Starliner’s internal clock was somehow tricked into believing that the time was either earlier or later than it actually was.
Thinking that it was in the midst of a lengthy thruster firing meant to raise its orbit and send the spacecraft on its way to the space station, Starliner was thus focused on ensuring that it was pointed as accurately as possible. Although the space station is the size of a football field, in the vastness of space, rendezvousing with it is a bit like threading a needle. While firing thrusters to do so, spacecraft thus need to point themselves as accurately as possible.
While coasting before or after one of those orbit-boosting thruster firings, Starliner thought it was actually burning towards the space station and was thus very carefully controlling its orientation with a dozen or so smaller thrusters. In short, those unintentional thruster firings burned through a ton of Starliner’s limited propellant supply – enough to make it impossible (or nearly so) for the spacecraft to rendezvous and dock the ISS, a central purpose of this particular launch.
This ultimately means that Starliner is leaning heavily on the “test” aspect of this Orbital Flight Test (OFT), uncovering failure modes and bugs that Boeing was clearly unable to tease out with ground testing and simulation. While in a totally different ballpark, SpaceX similar Crew Dragon spacecraft suffered its own major failure earlier this year, although that capsule explosion occurred during intentional ground testing, whereas Starliner’s software failed during its high-profile launch debut and has severely curtailed the scope of the spacecraft’s first orbital flight test.
In fact, Bridenstine was unable to rule out the possibility that Boeing will have to attempt a second uncrewed orbital flight test (OFT) before Starliner will be qualified to launch the space agency’s astronauts. Although early signs suggest that Boeing will still be able to attempt to deorbit and recover the spacecraft a day or two from now, the fact that Starliner will not be able to perform critical demonstrations of its ISS rendezvous and docking capabilities will make it far harder for NASA to rationally certify the spacecraft for astronaut launches.
SpaceX’s Crew Dragon, for reference, completed a more or less flawless launch, orbit raise, and rendezvous before docking with the ISS. It’s almost impossible to imagine NASA giving SpaceX permission to proceed immediately into its first astronaut launch if Crew Dragon had failed to reach the proper orbit or dock with the space station.
Regardless, it’s far too early to tell whether Boeing will have to repeat Starliner’s OFT. If Starliner performs absolutely perfectly between now and its planned soft-landing in New Mexico, there might be a chance that NASA will still allow Boeing to effectively cut corners to its astronaut launch debut, but only time will tell.
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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
