The European Organization for Nuclear Research, more commonly known as CERN, recently published an ambitious proposal to build what could only be described as a mammoth accelerator that’s nearly four times as long and up to six times more powerful as its 27-km Large Hadron Collider (LHC), which studies the tiniest particles that make up all matter, dark matter, and infamously, black holes. The project is yet to be greenlit, but if a recent tweet from SpaceX and Tesla CEO Elon Musk is any indication, The Boring Company could play a part in the construction of the ambitious project.
In a tweet on Monday, Musk noted that the director of CERN had been quite interested in the tunneling technologies of The Boring Company, which could play a part in saving costs for the construction of the agency’s next-generation particle collider. Musk noted that by using The Boring Company’s tunnels, the project would likely save “several billion Euros.”
Director of CERN asked me about Boring Co building the new LHC tunnel when we were at the @royalsociety. Would probably save several billon Euros.
— Elon Musk (@elonmusk) January 21, 2019
The particle physics laboratory, which operates in a site near Geneva, Switzerland, outlined its plans for the 100-km LHC successor, dubbed as the “Future Circular Collider” (FCC), last Tuesday. The FCC is expected to replace the LHC, whose most notable success so far has been the discovery of the Higgs boson, a previously-theoretical particle that gives mass to all matter. Since the discovery of the Higgs boson in 2012, though, CERN’s Large Hadron Collider has not been able to discover any new particles of the same significance. This, according to Gian Francesco Giudice, CERN’s theory department head, highlights a need to push collider technologies forward.
“Today, exploring the highest possible energies with bold projects is our best hope to crack some of the mysteries of nature at the most fundamental level,” he said, according to Nature.
The possibilities that could be unlocked by a project as ambitious as the Future Circular Collider could easily come from a sci-fi tale. It would not be an exaggeration to state that the FCC would enable physicists to open the door to as-yet-unknown physics, while helping answer a number of notable questions about the universe. First off, the FCC would help CERN scientists study the Higgs boson more extensively — something that is not possible with the LHD. The project is also expected to allow scientists to explore topics such as dark matter and antimatter.
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- The size of the FCC compared to the LHD. (Photo: CERN)
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- An artist’s image depicting particles colliding. (Photo: CERN)
CERN’s Future Circular Collider is expected to be four times as large and up to six times more powerful than its predecessor. (Photos: CERN)
While the possibilities presented by CERN’s proposed 100-km particle collider are vast, the Future Circular Collider does have its fair share of drawbacks — the most notable of which is the cost of the entire project. CERN’s report on the FCC estimates that the project’s tunnels alone would cost €5 billion ($5.7 billion) to build. Another €4 billion ($4.6 billion) is expected to be required for the first collider (which will collide leptons), while €4 billion ($4.6 billion) would likely be needed for the final collider (which is designed to collide protons). Provided that the ambitious project does not meet any substantial difficulties in its construction, the FCC could be operational by 2040.
This is where The Boring Company’s technologies could come in. The tunneling startup, after all, aims to reduce the costs of tunneling through optimizations in the digging process. So far, The Boring Company is only involved in projects involving transportation, such as the construction of the high-profile downtown Chicago-O’Hare high-speed transport line. The cost savings presented by The Boring Company’s tunnels were particularly evident when Elon Musk revealed the cost of the startup’s mile-long test tunnel in Hawthorne, CA last December. During his presentation, Musk noted that the Hawthorne tunnel cost $10 million to construct. This is far more affordable than traditional tunneling costs, which cost most U.S. local and state governments an average of $200-$500 million dollars per mile.
Granted, the requirements for CERN’s 100-km tunnel would be far more than demanding than the otherwise straightforward tunnels that The Boring Company will construct in the immediate future. That said, the rather generous timeframe for the Future Circular Collider would also give The Boring Company some time to further refine and optimize its tunneling technologies. For now, though, the prospect of CERN’s next-generation LHD’s tunnels being dug by The Boring Company would remain an idea that would only get more plausible over time.
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
