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.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
