News
SpaceX high-altitude Starship debut go for a second launch attempt
Update (Dec 9th): All signs point to a second attempt at SpaceX’s high-altitude Starship launch debut sometime near the end of today’s window, likely no earlier than 3:30-4 pm CST (UTC-6).
Amazingly, the actual pilot of the NASA WB-57 reconnaissance aircraft tasked with capturing aerial photos and videos of Starship SN8’s first flight is on Twitter and confirmed that the aircraft had been just a few minutes from takeoff before SpaceX chose to delay the launch for a few more hours. Thankfully, as of 2 pm CST, ground equipment activity at the pad is rapidly picking up – a good sign that SN8 launch preparations are well underway.
Stay tuned for SpaceX’s official Starship SN8 launch livestream around five minutes before liftoff and tune into NASASpaceflight.com’s excellent coverage below to keep up to date on launch proceedings.
Update: Starship serial number 8 (SN8) aborted its high-altitude launch debut at the last second, ending today’s attempt for SpaceX.
Depending on why one or several of the steel rocket’s three advanced Raptor engines aborted their ignition, SpaceX has backup launch windows and airspace closures from 8am to 5pm CST (UTC-6) on December 9th and 10th. Stay tuned for updates on the cause of the abort and whether Starship SN8 can be prepared for another attempt less than a day from now.
In a last-minute surprise, SpaceX appears to have secured NASA support for Starship SN8’s first flight in the form of a space agency reconnaissance jet often used to capture aerial photos and videos of spaceflight events.
Primarily intended to capture those views for developmental, data-gathering purposes, NASA WB-57 jets have recently been used to milestones like SpaceX’s explosive Crew Dragon In-Flight Abort test and Demo-2 astronaut launch/reentry debut. Likely made possible by a $135 million Starship Moon lander development contract awarded by NASA in April, the space agency has positioned itself to benefit from SpaceX’s success and leverage the company’s extensive internal investments.
Aside from exemplifying NASA’s new and promising relationship with SpaceX’s Starship development program, the use of space agency surveillance assets also serves as a convenient barometer to judge Starship SN8’s launch timing with.
As of publishing (1:30 pm EST, UTC-5), NASA’s WB-57 jet is scheduled to take off from Houston’s Ellington Airport at 2:12 pm CST, arriving ‘on station’ in the vicinity of SpaceX’s Boca Chica, Texas launch pad around 3:10 pm. With NASA assets now in play, Starship SN8 is unlikely to lift off before the jet is in place, meaning that the rocket’s 12.5 km (~7.8 mi) launch debut is now scheduled sometime between ~3:15 pm and 5 pm CST (UTC-6).
SpaceX CEO Elon Musk recently reiterated his prediction that Starship SN8 has a ~33% chance of successfully launching, reaching an apogee of ~12.5 km, free-falling belly-first most of the way back to earth, performing a radical flip maneuver, and landing intact. With Starship SN9 – effectively a refined clone of SN8 – practically complete and ready to roll to the launch pad, SpaceX’s hardware-rich development program means that almost any SN8 outcome at all will produce valuable data.
For a program like Starship, the success of any early prototype is better judged on the quantity and quality of data gathered and lessons learned than on the survival of hardware. Even so, SpaceX is clearly working to give Starship SN8 the best possible shot at survival and a successful landing would be a truly spectacular outcome. Stay tuned for updates as we track towards SN8’s first flight!
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
