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SpaceX launches 52nd Falcon 9 rocket in 52 weeks
SpaceX has completed its 52nd successful Falcon 9 launch in 52 weeks, sustaining an average cadence of one launch per week for a full 12 months.
Simultaneously, the Starlink 4-2 rideshare mission set a new record for Falcon 9 booster reuse, marked SpaceX’s 150th consecutively successful launch, and was one of the most complex commercial launches it has ever performed.
In addition to 34 new Starlink V1.5 satellites that joined almost 3000 other working SpaceX spacecraft in orbit, Starlink 4-2 deployed the company’s largest rideshare payload yet – AST SpaceMobile’s 1.5-ton (~3300 lb) BlueWalker 3 communications satellite.
Falcon 9 lifted off on schedule with the combined 12-ton (~26,500 lb) payload safely secured inside its composite payload fairing at 9:20 pm EDT (01:20 UTC) on Saturday, September 10th. Tasked with lifting the rocket’s expendable upper stage, recoverable fairing, and payload most of the way out of Earth’s atmosphere was Falcon 9 booster B1058, a nine-engine first stage that debuted by launching two NASA astronauts in May 2020.
28 months later, B1058 lifted off with Starlink 4-2 and BlueWalker 3 on its 14th spaceflight and orbital-class launch, breaking Falcon 9’s booster reuse record. The rocket performed no differently than it had every time previously, burning for a bit less than three minutes before deploying the upper stage and returning to Earth. About nine minutes after liftoff, B1058 safely touched down on drone ship A Shortfall Of Gravitas (ASOG), likely setting the booster up to break its own record before the end of 2022. With 13 launches already under their belts, boosters B1051 and B1060 will likely follow B1058 past the same 14-flight milestone in the near future.
Once free from the booster, Falcon 9’s expendable upper stage kicked off SpaceX’s most complex commercial launch ever. Measuring about six minutes long, the first and longest burn brought the second stage and payload into an elliptical orbit a few hundred kilometers above Earth’s surface. A second burn followed about 45 minutes after liftoff, raising the low end of that ellipse to deploy BlueWalker 3 into a circular orbit around 500 kilometers (~310 mi). Using a massive antenna, AST SpaceMobile’s first large satellite prototype will eventually attempt to directly communicate with mobile phones to provide a level of connectivity equivalent to 5G/LTE – all from space.
Once free of its rideshare payload, the focus shifted to Starlink. In theory, SpaceX could have taken the easy way out and significantly simplified the mission by deploying all 34 satellites at the same altitude as BlueWalker 3, simultaneously allowing them to reach their operational 540-kilometer (~336 mi) orbits in days instead of months. Instead, SpaceX pursued an exceptionally complex mission requiring five burns from Falcon 9’s upper stage.
After deploying BlueWalker 3, Falcon 9 S2 lowered one end of its orbit at around T+67 minutes, followed by a fourth burn to lower the other end almost two hours after liftoff. The upper stage then spun up end over end and eventually released all 34 Starlink satellites at an altitude of ~335 kilometers (~208 mi), where debris and faulty satellites will take days – rather than years – to reenter Earth’s atmosphere and burn up.


While SpaceX doesn’t confirm post-payload operations, Falcon 9 S2 was also scheduled to perform a fifth and final burn to quickly deorbit itself, ensuring that the mission only produced five pieces of benign debris. At their very low orbits, those five pieces (four ‘tensioning rods’ and the BlueWalker 3 payload adapter) will pose next to no threat to other spacecraft or rockets and should reenter within a few weeks.
Starlink 4-2 was SpaceX’s 52nd successful Falcon 9 launch since September 14th, 2021, meaning that the company has technically already achieved CEO Elon Musk’s goal of 52 launches in one year – albeit not a calendar year. Perhaps even more impressive, the mission was SpaceX’s 150th consecutively successful Falcon launch. No other single rocket (Falcon 9) or rocket family (Falcon) has launched more times in a row without failure.
Finally, Starlink 4-2 was SpaceX’s 42nd launch of 2022. If the company continues its average cadence over the last three months, it could end 2022 having completed more than 60 Falcon launches in one calendar year.
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.