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SpaceX launches NASA mission to study black holes, dead stars, and more
SpaceX has successfully launched NASA’s Imaging X-ray Polarimetry Explorer telescope, paving the way for a unique aspect of black holes, a variety of dead stars, and other odd phenomena to be explored in unprecedented breadth and detail.
Marking the first time a NASA payload has launched on the fifth flight of a reused SpaceX rocket, Falcon 9 booster B1061 lifted off at 1am EST (06:00 UTC) to kick off the 330 kg (~730 lb) IXPE spacecraft’s journey to orbit. SpaceX’s workhorse rocket performed flawlessly. Just over eight minutes after liftoff, Falcon 9’s upper stage completed the first of two planned burns, entering a low parking orbit. About thirty seconds later, Falcon 9 B1061 stuck its fifth drone ship landing in 13 months, marking the end of another successful high-profile launch for the booster and ensuring that it will be able to complete many more such launches over the next few years.
The first portion of the launch completed, Falcon 9’s upper stage then coasted in orbit for about 20 minutes before ignited for one last (very expensive) burn to place IXPE in its desired orbit. Known as a plane or inclination change, the maneuver – especially when performed deep in a large gravitational well – is exceptionally expensive, requiring an unintuitively large amount of launch vehicle performance (known as delta-V). The reason: IXPE’s nominal orbit is almost exactly equatorial, which Falcon 9’s Cape Canaveral launch site is about 28.5 degrees north of.
Lowering that inclination after launch requires a very energetic maneuver. Before Falcon 9 beat it out for the launch contract, IXPE was expected to launch on Orbital ATK’s air-launched Pegasus XL rocket, which would have allowed IXPE to be launched at the equator. However, SpaceX ultimately submitted a bid to launch IXPE for just ~$50M – cheaper than its competitor despite the fact that Falcon 9 is more than 20 times larger and could potentially launch an entire Pegasus XL into orbit. However, while Falcon 9 is designed to launch almost 23 tons into orbit in an expendable configuration and more than 16 tons with booster and fairing recovery, it’s only capable of launching about 1-2 tons to IXPE’s desired combination of an equatorial inclination and a ~600 km (~370 mi) orbit.
Ultimately, Falcon 9 completed the inclination change without issue, marking the successful completion of its first equatorial launch ever and SpaceX’s 28th successful launch in 2021 alone. Unlike a significant majority of spacecraft, IXPE was launched directly into its operational orbit and will likely need just a few days to refine its position and a few weeks after that for ground controllers to verify the health of all its systems and deploy a 4m (`13 ft) long ‘boom’ needed to operate its unique telescope.
If or when everything is up and running, IXPE will spend a minimum of two years observing at least 50 of the weirdest objects and phenomena in the universe. While many of those objects can’t be directly imaged, IXPE’s goal is to analyze the polarization of X-rays – high-energy beams of radiation – they produce at sensitivities two orders of magnitude greater than any previous experiment. In theory, that should allow IXPE to put long-held laws of relativity and quantum physics to the test in some of the most extreme environments in the universe, including particularly exotic nebulae (giant gas clouds), black holes, and bizarre neutron stars (including lighthouse-like pulsars and magnetars – dead stars with magnetic fields strong enough to compress atoms into cylindrical rods and make the actual vacuum of space refract light like a crystal).
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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
