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SpaceX’s Crew Dragon parachutes are almost ready for NASA astronauts
SpaceX says Crew Dragon’s upgraded “Mk3” parachutes are almost ready to safely return astronauts to Earth and need to pass just a few more consecutive tests before NASA will have the data it needs to qualify them.
Although SpaceX originally hoped to pursue a program of propulsive landing for Crew Dragon and Cargo Dragon space capsules, that effort was canceled to avoid the major cost increases and delays NASA’s qualification certification requirements would have triggered. Already designed with parachutes as a backup, SpaceX quickly pivoted and redesigned those parachutes as the primary (if not sole) method of gently landing astronauts back on Earth.
That decision was likely made in late 2016 or early 2017 and CEO Elon Musk announced the program’s cancellation – as well as plans for “Red Dragon” Mars landings – in July 2017. For the next 18 months, SpaceX worked with suppliers and NASA to design and test a parachute system up to the space agency’s extremely rigid standards. Coincidentally, Cargo Dragon suffered a significant (but survivable) parachute failure the same year when one of its three main chutes failed to deploy before splashdown. Additionally, Crew Dragon’s first “Mk1” parachutes suffered their own failures during testing.
A Mk2 variant was designed and built to account for Mk1’s issues, but it too suffered failures during field tests, particularly struggling to make it through tests simulating the failure of one Dragon’s main parachutes. As a result, NASA further required SpaceX to add a fourth parachute, requiring a whole new round of tests and experimentation due to the significantly different dynamics it introduced. Mk2 testing continued into 2019 but SpaceX quickly switched gears and worked with its supplier to design an even more upgraded “Mk3” parachute, building off of a cutting-edge program to model parachute deployment more accurately than ever before.
Over the course of 2019, SpaceX began to extensively test Mk3 parachutes with a variety of drop tests. Unfortunately, even Mk3 suffered a failure or two at first, leading SpaceX and its supplier to refine the design even further.
“[In October and November,] SpaceX says it successfully completed thirteen consecutive tests of Crew Dragon’s new Mk3 parachutes in less than two weeks. That essentially blew [NASA administrator Jim] Bridenstine’s expectations out of the water, as SpaceX surpassed his predicted 10 tests and did so barely three weeks into the tentative 12-week window he set. SpaceX now has plenty of time to either continue testing Crew Dragon’s parachutes or refocus its efforts on other equally important qualification challenges.
Prior to those thirteen consecutive successes, SpaceX suffered two failures during single-parachute Mk3 testing. The first two development tests of the Mk 3 design used loads much higher than the parachutes would ever see in operation in an effort to better understand overall design margins and system performance. After a period of rapid iteration with parachute provider Airborne Systems, the faults responsible for those two stress-test failures were resolved and subsequent drop tests confirmed that Mk3’s suspension lines – the numerous lines connecting the parachute to Crew Dragon – are far stronger than those on Mk2.”
Teslarati — November 3rd, 2019
In the latest chapter of the Crew Dragon parachute saga, on December 4th, SpaceX tweeted that the spacecraft’s upgraded Mk3 chutes recently completed their seventh successful “system test”. On November 3rd, CEO Elon Musk tweeted that one such multi-chute test had already been completed but said SpaceX wanted to successfully complete ten such consecutive tests before it would feel fully confident in the upgraded parachutes.
If the seven tests SpaceX is now describing are part of the same planned series that kicked off in early November, then those seven were likely consecutive successes and leave just three more tests (give or take) to go. Additional testing may well be required by SpaceX, NASA, or both parties, but if Mk3 continues to perform as well as it has over the last two months, Crew Dragon’s recovery systems ought to be well on their way to NASA certification. Once NASA gives the go-ahead on Crew Dragon’s parachutes (and every other facet of the spacecraft), SpaceX can proceed with its Demo-2 mission, set to be SpaceX’s inaugural astronaut launch and likely to mark the first time the US has launched its own astronauts in nearly nine years.
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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
