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SpaceX aces fifth astronaut launch in a year and half
Less than 18 months after its first crewed launch, SpaceX’s Crew Dragon spacecraft and Falcon 9 rocket have successfully completed their fifth astronaut launch, sending a crew of four on their way to the International Space Station (ISS).
After ~10 days of weather and sequencing delays and two days after Crew-2 astronauts returned to Earth in a separate Dragon, once-flown Falcon 9 booster B1067 and new Crew Dragon capsule C210 (christened Endeavour) lifted off at 9:03pm EST on Wednesday, November 10th with four Crew-3 astronauts aboard.
For NASA astronauts Raja Chari, Thomas Marshburn, and Kayla Barron, and ESA astronaut Matthias Maurer, the launch is just the beginning of a more than six-month stint in low Earth orbit. When they arrive at the ISS around 7pm EST, November 11th, they’ll join one other NASA astronaut and two Russian cosmonauts – temporarily left for three days as a bit of a skeleton crew after Crew-2’s departure. Nominally, Crew-3 would have launched before Crew-2 to allow a true on-orbit hand-off with zero interruption, but poor weather ultimately led NASA to flip the order of operations at the last minute.
With just a few days to prepare, SpaceX and NASA managed to make that significant change happen and Crew-2 returned around 10pm EST on November 8th. Less than two days later, thanks to a near-perfect recovery, Crew-3 lifted off and is now in orbit and on the way to the ISS. SpaceX’s 24th launch of the year, Crew-3 is also its fifth astronaut launch since Demo-2, which saw the company launch its first crewed test flight – carrying two NASA astronauts – on May 30th, 2020.
Relative to other crewed spacecraft, completing the first five astronaut launches in less than a year and a half is no small feat. Crew Dragon is by no means the fastest to reach that five-flight milestone and is actually middle of the pack but a simple list of names and numbers belies the fact that every other spacecraft on that list was developed by a government agency with far more power over their budgets. Crew Dragon’s development, on the other hand, was funded and overseen by NASA but it was fully managed, designed, and built by private company SpaceX under a fixed-price contract.
| Spacecraft | Time to 5 Crewed Flights |
| Gemini | 267d | 8 months 22 days |
| Apollo CSM | 278d | 9 months 5 days |
| Soyuz 7K | 351d | 11 months 16 days |
| Soyuz MS | 386d | 12 months 21 days |
| Mercury | 516d | 16 months 28 days |
| Crew Dragon | 529d | 17 months 11 days |
| Soyuz TM | 571d | 18 months 24 days |
| Shuttle | 578d | 18 months 30 days |
| Soyuz TMA-M | 646d | 21 months 7 days |
| Soyuz TMA | 715d | 23 months 14 days |
| Soyuz T | 749d | 24 months 19 days |
| Vostok | 793d | 26 months 2 days |
| Shenzhou | 3542d | 116 months 11 days |
SpaceX is also on track to launch Axiom-1 (the first all-private astronaut mission to the ISS) and Crew-4 – Dragon’s sixth and seventh astronaut launches – before the second anniversary of Demo-2. Of those seven scheduled launches, four will have been completed for NASA in less than 18 months – a launch cadence the space agency never expected its Commercial Crew Program partners would need to support. However, partner Boeing has unfortunately mismanaged its Starliner spacecraft development, causing multiple in-flight anomalies and ultimately incurring years of delays. Originally scheduled to perform its equivalent of Dragon’s Demo-2 test flight (CFT) in 2020, Starliner’s first crewed launch is now highly unlikely to occur before 2023.
As a result, NASA has been forced to lean entirely on SpaceX and SpaceX has had to pick up the slack and rapidly learn how to operate Crew Dragon at twice its planned cadence. Thankfully, despite the fact that Crew Dragon will ultimately cost NASA ~40% and $2 billion less than Starliner, SpaceX has more than managed to rise to the challenge and ensure that NASA has had uninterrupted access to the ISS since November 2020. Crew-3 continues that uninterrupted access – a service that Crew Dragon and SpaceX alone are now likely to provide until at least early to mid-2023.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
