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.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
