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SpaceX CEO Elon Musk wants to use Starships as Earth-to-Earth transports
SpaceX CEO Elon Musk indicates that the company is analyzing the use of single-stage Starship spacecraft as a potential pillar of its rapid Earth-to-Earth transport ambitions, meant to realize hypersonic mass-transit at “business-class” prices.
The consequences of such a move are varied but the gist is fairly simple: by cutting down on the complexity of the hardware and infrastructure involved, Earth-based transport via reusable rockets immediately becomes a far more intriguing (and plausible) proposition. Huge challenges remain, but many of those challenges could potentially become identical to those that Starship must already face to achieve SpaceX’s ultimate goal of Mars colonization.
As discussed on Teslarati just ~24 hours ago, using extremely large rockets to quickly, reliably, and safely transport humans around the Earth sounds great on paper but runs into a huge number of brick walls after just a cursory analysis. The single most important aspect of any high-volume form of mass transit is passenger safety – if a method consistently demonstrates that it is likely to kill passengers, it will die a very quick death to public opinion and regulatory fury.
From a statistical standpoint, rockets are thousands of times less safe than passenger aircraft, in large part due to their complexity and cost. As it turns out, an almost invariably foolproof method of improving the safety of a given thing is reducing its complexity (within moderation, of course). The fewer the parts there are, the fewer the parts that can fail and the easier (and cheaper) gathering data and evidence will be.
Originally, SpaceX’s 2017 Earth-to-Earth concept relied on a full two-stage BFR rocket (now Starship/Super Heavy) that could transport passengers anywhere on Earth in 30-60 minutes. Expected to launch off of giant, floating platforms, boosters would launch and land on the same platform while sending Starships on there way around the world. Starships would head to identical platforms at their destination and land directly beside that platform’s booster.
In general, this concept at least seemed serviceable, even if it didn’t exactly scream “practical solution!” Thankfully, much like BFR itself has radically changed in the last 18 or so months, it appears that SpaceX’s concept of Starship-based Earth transportation services has also continued to evolve. According to Musk’s May 30th tweets on the subject, one obvious method of improving the viability of the concept involves entirely removing the booster (Super Heavy) from the picture.
In an instant, SpaceX’s concept of Earth-to-Earth transport starts to look more like an exotic version of proposed supersonic and hypersonic transport solutions. By leaning on lone Starship spacecraft, incapable of reaching orbit by themselves, Musk believes that SpaceX could transport passengers up to ~10,000 km at speeds as high as “Mach 20” (6.9 km/s, 15,500 mph). This is undeniably a downgrade from “anywhere on Earth in less than an hour”, but it would still easily trounce any existing mode of transport and could potentially lend itself to actual suborbital spaceports located in key areas.
At the speeds described, SpaceX could offer ~20-minute trips from New York City to London or ~40-minute trips from Los Angeles to Tokyo as just two examples. Lack of range would certainly limit the potential utility and ubiquity of such a transport service, but there are undeniably enough niche markets to sustain something like that. By relying entirely on Starship, transportation could become far similar to airliner-style travel, while keeping speeds well below orbital velocity would give the spacecraft’s heat shield a much easier time.
For now, at least, the SpaceX dream of global, hypersonic mass-transit is clearly still alive and well, even if the hurdles ahead of it remain no less imposing. According to President and COO Gwynne Shotwell, SpaceX could begin offering Earth-to-Earth transport services as early as 2025, if not earlier with Musk’s proposed Starship-only variant.
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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
