Skip to main content
  1. Home
  2. Emerging Tech
  3. Cars
  4. News

Elon Musk offers to help dig CERN’s new particle collider tunnel

Add as a preferred source on Google
Designing the Future Circular Collider

The European Organization for Nuclear Research (CERN) plans to put the Large Hadron Collider (LHC) to shame with its proposed, significantly larger Future Circular Collider — and Elon Musk wants to help make it a reality. Because, you know, building electric cars, digging massive underground tunnels in the U.S., selling flamethrowers, and landing rockets vertically isn’t enough to fill a full working week.

Recommended Videos

In a tweet, Musk wrote that: “Director of CERN asked me about Boring Co building the new LHC tunnel when we were at the @royalsociety. Would probably save several billon [sic] Euros.”

As Musk describes it, the idea is that he would use his Boring Company technology to help dig the enormous tunnel for the new Future Circular Collider, intended to be 100 kilometers (62 miles) in length. The budget for the project is an estimated 24 billion euros ($27.2 billion), of which around 5 billion euros ($5.6 billion) will be dedicated to the tunnel-building portion of the initiative. A possible saving of several billion euros would be significant.

Scientists hope that a more powerful collider will help answer questions about the universe that cannot be answered with the current Large Hadron Collider. The Future Circular Collider could be used to explore subjects including dark matter and matter-antimatter interactions: potentially solving some fundamental questions about the early development of our universe.

It might be a while before Musk is called into service to help, however. The plan is for the tunnel to be functioning by 2040, at which point Musk would be 68 years old. Of course, contributing in such a big way to the future of physics wouldn’t be such a bad usage of his early retirement years (if Musk ever plans to retire).

Last month, Musk’s Boring Company showed off its tunnel-making prowess by unveiling a finished stretch of high-speed tunnel in Hawthorne, California. The 1.14-mile demonstration tunnel reportedly cost around $10 million to build. It was used to transport members of the media at speeds of up to 50 mph in a Tesla Model X SUV, modified to fit onto a special track.

Luke Dormehl
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
Xreal’s latest AR glasses fix the brightness problem, but leave the rest largely untouched
Accessories, Sunglasses, Glasses

AR glasses sound magical until I imagine wearing them somewhere bright. That’s why a new pair launched today caught my eye.

Xreal's 1 Pro Plus refreshes its One Pro glasses (which float a virtual screen in front of your eyes). It packs a much brighter display than the outgoing model and smoother 2D-to-3D conversion. You can buy it now for $599.

Read more
A $75 gadget that remembers my conversations? Bee has my attention and my reservations
Two new ways to let AI listen (and remember) what you said.
Electronics, Phone, Mobile Phone

A $75 gadget that remembers my conversations? I’m intrigued and, at the same time, slightly nervous.

Amazon-owned Bee has launched two conversation-summarizing devices: the Bee Frontier ($74.99), available now, and the Bee Eclipse ($99.99), a magnetic phone card arriving soon. There’s also a new subscription: Bee Pro. 

Read more
Anthropic warns of imminent self-replicating AI that might even work off an oven or TV
Self-replicating AI could be merely months away, and tests show it can run on the devices sitting at your home.
Illustration of dangerous AI.

Over the past few weeks, nearly every AI lab has released frontier AI models. Earlier today, Google started rolling out Gemini 4, Argon, hot on the heels of Meta announcing its Muse Wonder frontier AI models to compete against the best from OpenAI and Anthropic's Claude. This relentless pace of AI model release comes at a time when the same AI labs are calling for development slowdown and increased regulation, following a series of concerning incidents where these AI models went rogue and broke into private, as well as government-owned, websites.

Now, Anthropic has dropped a chilling set of predictions about the capabilities of these AI models after running a series of tests. The company claims that small AI models could be merely a few months away from self-replicating and turning into a dangerous swarm. More importantly, they won't require a massive data center or an uber-powerful computer to do so. On the contrary, the lab claims that these self-replicating AI swarms will need something with as little computing power as an average Internet-connected device, like a smart oven or an Android TV box.

Read more