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SpaceX’s Starship rocket sails through first “flight-like” fueling test
SpaceX’s fully-assembled Starship rocket appears to have sailed through a major wet dress rehearsal test on the first attempt.
With the completion of that test, the next-generation SpaceX rocket has taken a big step toward its first orbital launch attempt. Starship measures around 120 meters (~394 ft) tall and 9 meters (~30 ft) wide, making it the largest rocket ever assembled. It’s designed to launch more than 100 metric tons (~220,000 lb) to low Earth orbit (LEO) in a fully-reusable configuration. At liftoff, Starship’s 33 Raptor engines will produce up to 7590 tons (16.7M lbf) of thrust, making it more powerful than any rocket in history by a large margin.
And on Monday, January 23rd, Starship likely became the heaviest rocket ever after SpaceX fully loaded the vehicle with propellant. Surprising most viewers, SpaceX also appeared to complete the complex test associated with that milestone without running into any major issues.
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
The apparent success is surprising because it simply hasn’t been SpaceX’s approach of choice while developing Starship. Since SpaceX began assembling Starhopper in an empty Texas field in 2018, the Starship program has been almost exclusively managed to prioritize speed and expect failures. The company almost always preferred to build, test, and learn from minimum-viable-product prototypes as quickly as possible, even if that meant that failures were guaranteed.
Because SpaceX expected failures, it learned from them and always had another prototype ready to carry the torch forward. Starship prototypes rarely completed ground or flight tests on the first try, as SpaceX was simultaneously learning – often catastrophically – how to test and operate those vehicles. The culmination of that failure-as-an-option strategy was a series of seven suborbital Starship tests – two short hops of identical prototypes and five launch and landing attempts of five more advanced prototypes between August 2020 and May 2021. On the fifth attempt, after four failures, a full-scale Starship successfully launched to 12.5 kilometers (~41,000 ft), shut off its engines, fell back to Earth, reignited its engines, flipped around, and landed in one piece.
By all appearances, the campaign was the ultimate corroboration of SpaceX’s development strategy. In the second half of 2022, however, SpaceX decided to dramatically change the Starship program’s approach to risk management and systems engineering. Starship testing has become exceptionally cautious over the last several months, as a result.
From fail-fast to slow-and-steady
There is a small chance SpaceX simply got lucky, but Starship’s first fully-assembled wet dress rehearsal test appears to indicate that that caution has paid off. Combined, both stages of the rocket – Ship 24 and Booster 7 – collectively completed dozens of separate proof tests and static fires since mid-2022. They also made it through several far more limited tests while stacked.
Having cautiously characterized each prototype about as well as it possibly could, SpaceX finally pulled the trigger on January 23rd. After hours of conditioning the Starbase, Texas orbital launch site’s giant tank farm, SpaceX opened the floodgates and loaded Ship 24 and Booster 7 with up to 4860 tons (~10.7M lbs) of cryogenic liquid oxygen and liquid methane propellant in about 90 minutes. Once fully loaded, the combined weight of the rocket and propellant likely exceeded 5000 tons (~11M lbs), making Starship the heaviest rocket in history. The next heaviest rockets ever built, Saturn V and N-1, weighed around 2800 tons (~6.2M lbs) fully loaded.
SpaceX was also able to drain Starship and return its propellant to the pad’s ground storage tanks about four hours after filling the rocket.
“Flight-like” testing
The company later confirmed that the test was a “full flight-like wet dress rehearsal,” as suspected, and noted that data gathered from it would “help verify a full launch countdown sequence, as well as the performance of Starship and the orbital pad for flight-like operations.” Parts of the test visible from unaffiliated webcasts like NASASpaceflight’s seemed to confirm as much. Shortly after Starship was fully loaded, for example, SpaceX activated the orbital launch mount’s fire extinguisher system, seemingly practicing the moments before the rocket would otherwise ignite its engines and take flight.
At no point during the wet dress rehearsal did SpaceX appear to enter any kind of hold or abort, indicating that the rocket’s systems were all working well enough together to smoothly complete it on the first try. The only mildly concerning behavior visible during the multi-hour test came shortly after Starship was topped off. Booster 7 opened one of its methane tank gas vents to relieve pressure and instead appeared to vent liquid methane, producing a flammable cloud thousands of feet long. More likely than not, the Super Heavy was slightly overfilled, and the liquid vent was an intentional response to that error. The cloud of methane thankfully did not find an ignition source, and Starship went on to finish the test as planned.
SpaceX has a lot of work left to prepare Ship 24 and Booster 7 for Starship’s first orbital launch attempt. Booster 7 must still complete one or several more static fires, during which it could become the most powerful rocket ever tested. To reduce risk, SpaceX will likely remove Ship 24 while testing Super Heavy, and reassemble the rocket only if Booster 7 passes its tests. SpaceX also needs to repair the pad after static fire testing and work with the Federal Aviation Administration (FAA) to finalize Starship’s first orbital launch license.
But after many false positives, Starship’s successful completion of a wet dress rehearsal on the first try has confirmed that the rocket’s orbital launch debut is – for the first time – actually close at hand.
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
