News
SpaceX CEO Elon Musk lays out ambitious deadline for BFR-built Mars Base Alpha
SpaceX CEO Elon Musk has announced what may be the company’s most ambitious deadline yet, stating that he believes a full ‘Mars Base Alpha’ – a preliminary city on the Red Planet – could be completed as soon as 2028.
Mars Base Alpha pic.twitter.com/O1llQp8rFY
— Elon Musk (@elonmusk) September 21, 2018
Probably 2028 for a base to be built
— Elon Musk (@elonmusk) September 21, 2018
In essence, Musk has implied that SpaceX could go from completing the first prototype spaceship segments to a full-fledged Martian city in a decade, a goal that might be even more ambitious than President John F. Kennedy urging – in 1961 – the U.S. to commit itself to landing humans on the Moon “before this decade is out”. In fact, the comparison becomes increasingly apt after examining the finer details of both major proclamations.
For Kennedy’s famous May 1961 speech, NASA had launched its first astronaut ever – and only on a suborbital mission – less than three weeks prior, and would not place an astronaut in orbit for another nine months after that. This was perhaps the boldest aspect of Kennedy’s announcement – he wanted NASA to go from a tiny, suborbital rocket (Mercury-Redstone) to Saturn V – a rocket that could literally place five fully-loaded Redstone rockets into low Earth orbit in a single launch – in well under a decade.

Examining NASA in the early 1960s, the challenges ahead of SpaceX may be quite forgiving in comparison. While NASA had less than three years of experience launching extremely small launch vehicles and placing even smaller (but still pioneering) satellites and space probes into orbit prior to May 1961, SpaceX has a full 60 successful launches of its massive Falcon 9 and Heavy rockets to bastion its expertise, as well more than 30 successful rocket landings and 15 reuses of a number of those recovered Falcon 9 boosters.
In terms of capability and size gaps, SpaceX’s journey from a Falcon 9 or Heavy-sized rocket to BFR is more akin to the Saturn I and IB rockets that preceded Saturn V, the latter of which is shown above. It’s still going to be a massive challenge for the rocket company, particularly with respect to the move from aluminum-lithium propellant tanks to all carbon-composite tanks and structures, but SpaceX arguably has it easy compared to NASA.
- BFR’s booster and spaceship separate a few minutes after launch. (SpaceX)
- An updated spaceship lands on Mars. (SpaceX)
- SpaceX has already completed the first of many carbon-composite sections of its prototype spaceship. (SpaceX)
- Yusaku Maezawa stands on the first BFR composite tank/fuselage section prior to his Sept. 17 announcement. (Yusaku Maezawa)
Massive hurdles still remain for the establishment of any successful Mars base, especially one just a decade from now, with essentially every major component of such a base being a major unknown that needs to be analyzed and solved sometime between now and then. Just as Musk noted in his September 17th BFR update and lunar tourism announcement, he tends to construct schedules from a perspective of everything going right, reasonable in the sense that ambitious targets breed ambitious achievements.
A large Mars Base Alpha with 4+ BFR spaceships landed on the Martian surface by 2028 is undoubtedly entirely dependent upon every conceivable aspect of BFR development going flawlessly over the next decade, an extraordinarily implausible outcome. The need to wait for optimal orbital alignments between Mars and Earth also means that even a few-month-slip could delay Mars launches by nearly two years.
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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.



