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SpaceX aces 60th orbital launch of 2022
SpaceX has completed its 60th orbital launch of 2022, marking the first time the company has fully hit a public cadence target set by one of its executives.
By every possible measure, 2022 has been a groundbreaking year for SpaceX even when considering the vast list of achievements it’s racked up over the last half-decade. It owns and operates the largest satellite constellation in history by an order of magnitude. Its Starlink satellite internet service has secured more than a million subscribers less than two years after entering beta. It operates the only routinely reusable orbital-class rockets and orbital spacecraft currently in service. Its Falcon 9 workhorse has launched more in one year than any other single rocket in history. It’s regularly launching at a pace that hasn’t been sustained by any one country – let alone a single company – in 40 years. It’s managing that near-historic cadence while simultaneously recovering and reusing boosters and fairings that represent some 70% of the value of almost every rocket it launches.
And now, SpaceX can also proudly show that it was able to hit a launch cadence target that seemed impossibly ambitious when CEO Elon Musk first shared it nine months ago.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Exactly nine months later, SpaceX has just completed its 60th launch of 2022. 69 days after its last orbital-class launch, Falcon 9 booster lifted off for the 11th time with a somewhat mysterious batch of 54 Starlink satellites. A bit less than nine minutes after liftoff, B1062 touched down 660 kilometers (410 mi) downrange on SpaceX drone ship A Shortfall Of Gravitas (ASOG). Seconds prior, Falcon 9’s expendable upper stage reached orbit, shut down its lone Merlin Vacuum engine, and began slowly spinning itself end over end.
Nineteen minutes after leaving the ground, the stack of 54 Starlink satellites was released all at once, slowly spreading out like a splayed deck of cards. Over the coming hours, days, and weeks, those satellites will naturally spread out, deploy solar arrays, stabilize their attitudes, test their payloads, and begin climbing toward an operational orbit somewhere between 480 and 580 kilometers (300-360 mi) above Earth’s surface.
As previously discussed, SpaceX’s so-called “Starlink 5-1” mission raises a number of questions that the company’s launch webcast and communications unfortunately failed to answer. First and foremost, the “5-1” name is nonsensical. The only information SpaceX did disclose about the mission is that it’s the “first [launch] of Starlink’s upgraded network…under [a] new license,” implying – but not actually confirming – that “Starlink 5-1” is the first launch for the Starlink Gen2 constellation.
The orbit the launch targeted only matches one of the Gen2 ‘shells’ the US Federal Communications Commission (FCC) recently approved. Using a naming scheme that’s been consistent for a year and a half, “5-1” implies that the mission is the first launch of Starlink Gen1’s fifth ‘shell’ or group, which the orbit it was actually launched to explicitly makes impossible. It’s very odd that SpaceX did not explicitly call the mission what it actually is: the first launch of an entirely new Starlink Gen2 constellation. The name ultimately doesn’t matter much, but is now likely to create confusion given that SpaceX’s Starlink Gen1 constellation has a fifth shell that may begin launches in the near future.
Additionally, outside of a single obscure FCC filing submitted two months ago, it’s long been stated and implied that the Starlink Gen2 constellation’s main advantage over Gen1 was the much larger size of the Gen2/V2 satellites. But the satellites launched on “Starlink 5-1” appear to be virtually identical to all recent Starlink V1.5 satellites, which CEO Elon Musk once suggested were so cost-inefficient that they could risk bankrupting SpaceX in November 2021.

There is one obvious explanation for why SpaceX would launch ordinary Starlink V1.5 satellites in place of the larger V2 variants that will supposedly make the internet constellation more financially sustainable: a desire to add new customers as quickly as possible, no matter the relative cost. While a much smaller V1.5 satellite likely offers around 3-8 times less usable bandwidth than one of the larger V2 variants SpaceX is developing, it may still be true that a V1.5 satellite is better than nothing while larger V2 satellites are stuck behind development delays or waiting on SpaceX’s next-generation Starship rocket.
SpaceX will almost certainly want to replace any V1.5 satellites with V2 satellites when the opportunity arises, but in the meantime, V1.5 satellites launched as part of the Gen2 constellation may technically allow SpaceX to temporarily double the amount of bandwidth available where most people (and Starlink customers) live. Ultimately, that means that it makes a lot of sense for SpaceX to prioritize Gen2 launches. It doesn’t appear that SpaceX will go that far, but the Starlink Gen1 constellation is so far along that the company could easily leave the constellation as-is and prioritize Gen2 Falcon 9 launches for all of 2023 without risking an FCC penalty. SpaceX simply needs to finish its Gen1 constellation before April 2027 to avoid breaking those rules.
Instead, it looks like SpaceX will roughly split its launch and V1.5 satellite manufacturing capacity between Starlink Gen1 and Gen2 moving forward. That will let SpaceX significantly expand bandwidth where most customers live while also finishing the polar-orbiting Gen1 shells that will let the older constellation better serve maritime and aviation subscribers, and reach Starlink’s most remote customers.
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.