News
SpaceX outfits Starship prototype with unique Starlink satellite dispenser
After several weeks of work and occasional glimpses of the hardware and installation process, it’s now clear that SpaceX has outfitted part of its next Starship prototype with a truly unique Starlink satellite dispenser.
It remains to be seen if this particular assembly is simply a pathfinder – an experiment never meant for flight – or an integral part of a prototype that could become the first Starship to reach space or even orbit. In the first few months of 2022 a pathfinder with a much larger bay door was also quickly assembled but ultimately moved to the scrapyard. SpaceX’s latest payload bay prototype is quite different.
First, the device installed inside what appears to be the steel rings Starship S24’s nosecone will eventually be stacked on top of is almost nothing like any satellite deployment adapter observed in the past or present. The rectangular framework SpaceX craned inside of the barrel-like section of five steel rings – a cylinder measuring around 9m x 9m (30 ft x 30 ft) – about two weeks ago looked rudimentary and lacked any obvious moving parts, generating some ambiguity. Based on its apparent dimensions, the frame could likely extend anywhere from 10-15m (30-50 feet) up into Ship 24’s nosecone before the diameter would get too narrow for it to continue.
If it was a satellite deployment adapter, which most expected it to be, it was nothing like any other common adapter – including SpaceX’s own unusual present-day Starlink deployment method. It wasn’t until March 24th that SpaceX spun the nose barrel around, revealing an unusual cutout akin to a giant mail slot. At that point, it became clear that Ship 24’s nose had been fitted with a Starlink satellite deployment mechanism akin to a giant PEZ dispenser.
Instead of a large, alligator-like payload bay, all Starship would need is a comparatively tiny slot and either an active or passive mechanical deployment mechanism. Starlink satellites would first be loaded one by one into the slot and somehow lifted inside the bay on the rail-like frame SpaceX recently installed. Eventually, that dispenser would be filled with a stack of an unknown number of Starlink satellites – likely larger Starlink V2 prototypes but possibly today’s smaller V1.5 satellite variant. Once in orbit, the stack of satellites would be ejected one by one through Starship’s payload slot. The satellites could potentially be passively fed down to the slot with a tension mechanism or Starship’s maneuvering thrusters, reducing the dispenser’s complexity.
Crucially, alongside the first fully outfitted prototype with an upgraded Starship nosecone design, the ‘nose barrel’ the apparent Starlink dispenser is part of has also been fitted with heat shield stand-offs, ceramic wool insulation, and netting. Most importantly, technicians began installing dinner plate-sized heat shield tiles on the barrel section’s exterior within the last few days. The logic behind SpaceX’s Starbase decision-making has been increasingly indecipherable in recent months but, in theory, it would make little logical sense to waste time, effort, and money installing a thermal protection system (TPS) on a Starlink dispenser.
In other words, it’s quite likely that this Starlink dispenser is actually a part of Ship 24 flight hardware. Alongside Booster 7, Ship 24 is widely believed to be the first Starship scheduled to attempt an orbital launch after the recent demotion of Ship 20 and Booster 4. That means that it’s quite possible that this dispenser is actually meant to deploy Starlink satellites from Starship. According to Elon Musk, Ship 24 and Booster 7’s orbital test flight could occur as early as May 2022.
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
