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NASA to retry Artemis I Moon rocket launch on Saturday
NASA says it has alleviated issues that arose during its first Space Launch System (SLS) Moon rocket launch attempt and will try again as early as Saturday, September 3rd.
Measuring around 98 meters (~322 feet) tall and capable of launching up to 95 tons (~210,000 lb) to low Earth orbit, the SLS rocket’s first launch – Artemis I – will attempt to send NASA Orion spacecraft on its way to lunar orbit. If all goes to plan, a partial prototype of the deep space crew transport vehicle will enter orbit spend several weeks around the Moon, where it will attempt to prove that Orion is safe and ready to launch NASA astronauts.
Approximately six years behind schedule and tens of billions of dollars over budget, the combined Orion spacecraft and SLS rocket were originally expected to debut in 2016 when Congress legally required NASA to develop the combined system in 2011. It would be difficult for the stakes to be much higher.
Now, after an unsuccessful August 29th launch attempt that turned into a wet dress rehearsal test as a result of poor planning, NASA is ready to try again.
SLS is scheduled to lift off from NASA’s Kennedy Space Center (KSC) LC-39B pad no earlier than (NET) 2:17 pm EDT (18:17 UTC) on Saturday, September 3rd. Like the first, the window lasts for two hours, providing some flexibility for NASA to troubleshoot any other minor problems that might crop up during the second launch attempt.
During the first SLS launch attempt, several problems arose, including a possible crack in Core Stage foam insulation, a misbehaving vent valve, a hydrogen fuel leak, and weather concerns that delayed the start of propellant loading by more than an hour. The most important problem, causing NASA to abort its first attempt at T-40 minutes to liftoff, involved Core Stage engine chill systems.
At the time, available data suggested that one of the Core Stage’s four modified and flight-proven Space Shuttle Main Engines (known as RS-25) was unable to chill down to the temperatures required for safe ignition. In a September 1st press conference, after more analysis, NASA now says that the rocket was, in fact, correctly trickling liquid hydrogen fuel through all four engines and that all engines were likely ready to go. The agency and its contractors say they are confident that the true cause of the unfavorable readings was a faulty temperature sensor.
In an earlier press conference, senior officials noted that the Boeing-built SLS Core Stage is designed in a way that makes those faulty temperature sensors virtually inaccessible without major work – and certainly not while the rocket is still at the launch pad. A rollback to NASA’s Vehicle Assembly Building (VAB) could easily delay the next SLS launch attempt by 4-6 weeks, if not longer.
Perhaps as a result of the looming consequences of another rollback, instead of sending the rocket back to fix the newly discovered sensor issue, NASA officials now say they never actually needed the broken sensor and can get by without it working properly. That doesn’t entirely explain why NASA fully aborted an SLS launch attempt as a direct result of not liking the data produced by said sensor a few days prior. Nonetheless, the officials say that by analyzing several other unspecified telemetry readings within the RS-25s and SLS plumbing, they can effectively infer that the engines have been chilled to the right temperature.
In theory, if no other issues arise in the remaining 40 minutes leading up to launch, that should allow NASA to confidently launch SLS without having to replace components deep within the rocket.
NASA will begin live coverage of its next SLS launch attempt on NASA TV at 5:45 am EDT (09:45 UTC), followed by a separate hosted broadcast (the agency’s first attempt at a 4K launch webcast) beginning at 12:15 pm EDT (16:15 UTC).
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
