News
SpaceX aborts third Starship static fire attempt minutes before ignition
Perhaps just two or so minutes away from ignition, SpaceX Starship prototype SN9 aborted its third triple-Raptor static fire attempt late into the test window on January 12th
Already extended from 5 pm CST (UTC-6) to 8 pm CST, SpaceX only really started clearing the test facilities near the original end of the window and began loading its second fully-assembled Starship with liquid oxygen and methane propellant around 7 or 7:30 pm. At 7:58 pm, a local sheriff sounded a police siren to warn any local residents or workers of an imminent test – needed in the event of an explosion (“overpressure event”), which could turn shatter glass windows and pose a general hazard.
Now a well-worn, familiar process for unofficial Starship followers, the siren serves (however imprecisely) as an approximate T-10 minute marker for any kind of hazardous testing. Hoping to rectify two prior unsuccessful static fire attempts, Starship SN9 may have made it just 2-3 minutes away from a second ignition before an unknown issue caused SpaceX ground controllers or Starship itself to trigger an abort.
Rearing its head in the form of a large, simultaneous vent releasing pressure from Starship SN9’s methane and oxygen tanks, aborts are an equally familiar event for those that have followed along for the last year or two. Starships may have taken some spectacular leaps forward in 2020, but the program and the prototypes it is currently producing are still relatively immature and, in other words, not exactly refined, polished final products.
In 2020 alone, SpaceX destroyed Starship SN1 during pressure testing, toppled (and destroyed) SN3 with faulty test design, saw SN4 violently explode, and eventually flew Starships SN5, SN6, and SN8 – but not before multiple false-starts, aborts, and repairs. Through that hardware-rich process of trial and error, SpaceX managed to go from completing its first one-piece steel ring to the fully-assembled Starship SN8’s almost completely successful 12.5 km (7.8 mi) launch debut in twelve months.
While that sheer speed has been a huge boon for SpaceX, the company appears to have become more cautious in recent months with the introduction of the first full-height Starships – presumably each representing a more substantial investment and thus warranting additional risk-aversion. At the same time, Starship is clearly an extraordinarily complex launch vehicle and that complexity only grows as the program progresses, producing more and more complex prototypes that require equivalently complex testing.
Starship SN8 spent almost two months at the launch pad gradually completing several crucial tests before SpaceX ultimately cleared the rocket to attempt the program’s first high-altitude launch on December 11th. As of January 12th, Starship SN9 has been at the pad for three weeks. Meanwhile, Starship SN10 is practically ready to begin testing and SN11 could be made ready just a few weeks after that.
Starship SN9’s next (fourth) static fire attempt is now expected no earlier than Wednesday, January 13th, though that could quickly change depending on the severity of the problem that caused Tuesday’s abort.
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
