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SpaceX’s first Falcon 9 launch in months gets a launch date
SpaceX’s first Falcon 9 launch in more than three months finally has a launch date and it looks like the company’s growing fleet is going to attempt to catch (or land) almost every piece of the rocket, a big first for Falcon 9 reusability if SpaceX can pull it off.
After an exceedingly long wait, SpaceX’s next launch – Starlink’s first “v1.0” mission – is finally on the Eastern range and is scheduled to launch no earlier than ~10 am ET (15:00 UTC) on November 11th, recently confirmed by SpaceFlightNow.com and LaunchPhotography. Although similar lulls in US orbital launch activity have occurred in the past, they are extremely rare: the last time a lull more than three months long occurred was in 2010.
For SpaceX, this is the longest the company has gone without a launch since Falcon 9’s last catastrophic failure, which grounded the rocket for ~4.5 months after a massive explosion in September 2016. By all appearances, the likely 14-week gap between orbital SpaceX launches is little more than the product of bad luck, with customer payloads and SpaceX payloads both coincidentally requiring more time than expected to prepare for flight.
Although the extreme delay between launches is unfortunate, it also happens to have given SpaceX’s recovery engineers a lot more time to prepare the latest member of the rocket recovery fleet for its first attempted fairing catch. Known as GO Ms. Chief, she joins fairing recovery vessel GO Ms. Tree (formerly Mr. Steven) and has spent the last two or so months being outfitted with a brand new net and arms – slightly different but nearly identical to Ms. Tree’s.
Pictured in Stephen Marr’s tweet at the top of this article, Ms. Tree and Ms. Chief appear to be more or less complete, and Ms. Chief took to the Atlantic Ocean with her net installed for the first time just over a week ago. If the ships are as prepared as they look, there’s a strong chance that Ms. Tree and Ms. Chief will be able to team up to attempt the first simultaneous catch of both halves of a Falcon payload fairing. At the moment, SpaceX has caught a single parasailing fairing half twice during its last two consecutive attempts, a strong sign that the company has solved what proved to be an extremely challenging problem.
Falcon 9’s next reusability milestone
As always, prior to launch, SpaceX will fuel and static fire the Falcon 9 rocket to verify that all systems are performing nominally. According to NASASpaceflight.com, that static fire test is scheduled no earlier than Tuesday, November 5th, approximately six days before launch.
Speaking last month, VP of Flight and Build Reliability Hans Koenigsmann stated that Starlink-1 would fly on a thrice-flown Falcon 9 booster, meaning that the mission will likely mark the first time SpaceX flies the same Falcon 9 booster four times. At this point, SpaceX’s Falcon 9 Block 5 nth-reuse milestones are becoming less and less surprising as it becomes clearer than ever that the rocket upgrade – designed to support “at least” 10 launches per booster – is well on its way to reaching that goal.
At the moment, the most likely candidates for that fourth-flight milestone are Falcon 9 boosters B1048 and B1049, the former of which flew its third orbital mission in February 2019, while the latter supported SpaceX’s dedicated Starlink v0.9 launch debut in May 2019. Falcon 9 B1046 – also with three launches under its belt – is scheduled to fly for the fourth (and probably final) time as early as mid-December for Crew Dragon’s critical In-Flight Abort Test, while Falcon 9 B1047 flew its third and final mission in August 2019.
All things considered, SpaceX’s quasi return-to-flight after three months without a launch is set to be an exceptionally important mission for Falcon 9 and should be well worth the wait.
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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
