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Musk’s Boring Co reveals plan to support Hyperloop in published FAQ
Elon Musk’s plan to integrate Tesla electric sleds traveling through underground tunnels dug by The Boring Company will also include support for vacuum-sealed tunnels used by 600+ mph Hyperloop Pods.
The reveal comes from the company’s newly published Frequently Asked Questions page that does away with introductions and cuts straight to the chase.
“A large network of road tunnels many levels deep would fix congestion in any city, no matter how large it grew (just keep adding levels). The key to making this work is increasing tunneling speed and dropping costs by a factor of 10 or more – this is the goal of The Boring Company. Fast to dig, low cost tunnels would also make Hyperloop adoption viable and enable rapid transit across densely populated regions, enabling travel from New York to Washington DC in less than 30 minutes.” reads the FAQ.
The company isn’t even traveling at a snail’s pace, yet it has big plans to do just that – dig tunnels faster than a snail travels. In this case, resident snail Gary (who lives in a pineapple under the sea) can move at 14 times the speed of a Tunnel Boring Machine (TBM) and represents the target speed for the company’s boring machines.
The Boring Company’s pet snail named Gary
The Framework for Hyperloop
The FAQ sheet broke news that Musk and the team at The Boring Company, in cooperation with Tesla, are planning to build tunnels that can support multi-payloads including that of a Hyperloop Pod. In addition to enabling travel and transport at much higher speeds, this addition is likely to set the Tesla electric sled platform as the standard track that will be used to support mobility of the Hyperloop Pod.
Certain segments of the underground tunnels will have a vacuum shell, if not the entire track, that will allow the tunnel to be held at vacuum. Long distance travel would likely be performed in tunnels held at vacuum, enabling for higher speeds of travel. This format of local versus long distance is the same used by train systems in Europe that have different trains and tracks depending on train speed and distance of travel.
Converts Internal Combustion Vehicles into EVs
Another upside of the system is that it enables the conversion of internal combustion vehicles into zero emission vehicles. When a traditional petroleum powered vehicle is moved onto an electric sled, it will be moved through a system that emits zero emissions. This eliminates the emissions these vehicles would have emitted if they would had ordinarily travelled by road to their destination.
Many people will take Hyperloop Pods to their destinations due to the lower cost of travel. Logistics companies will also shift payload transportation to the tunnel system due to the lower cost as a result of not having a driver, higher speed and automated control over the load. With all of this traffic moving to the conceptual tunnel-based transportation system, it has the potential to radically slash the amount of transportation related emissions and demand for fossil fuels.
If the petroleum industry wasn’t paying attention to Musk and the impact Tesla may have on automotive related fuel consumption, this announcement is surely the wake up call they needed.
Earthquake!
Hollywood thrillers over the years have cast subway systems as the perfect set for apocalyptic thrillers where only a muscular hero armed with backpack full of lithium ion batteries, a stick of bubblegum and the copper from the wiring for the lights can save the day.
The truth, it turns out, is much different. The FAQs relay the facts that structural engineers have know for ages – that properly designed tunnels are one of the safest places to be during an earthquake. The tunnels is not subject to surface forces and instead of resisting the movement of the earthquake, moves with the ground.
Dirty Business
When tunneling in the Minecraft video game, the tunnel materializes and the blocks smashed with a pickaxe or sword simply disappear or move into inventory. The real world is unfortunately not so simple, but The Boring Company has plans to make it just a bit more like Minecraft.
Two major challenges with traditional tunneling are the massive amount of earth being displaced by the tunnel and the equally as challenging amount of concrete that is required to seal the circumference of the tunnel. To solve these challenges together, The Boring Company hopes to develop a process for using the resulting soil to produce earthen bricks. These bricks could even be used as a component of the tunnel lining itself or simply sold as a product.
This is yet another piece of evidence that Tesla truly is attempting to create Minecraft in the real world, reviving the ancient practice of crafting bricks from dirt.
In addition to turning a liability into an asset, this has the potential to drastically cut the amount of concrete used in the production of the tunnels it is constructing. Because of the sheer mass of concrete and the effort required to extract its components, and ship them to the destination, concrete production accounts for a staggering 4.5% of the world’s greenhouse gas emissions. The Boring Company hopes to take a chunk out of those emissions by using bricks where possible in the construction of its tunnels.
Where The Boring Company will go from here is anyone’s guess but this latest update makes it clear that Musk is never willing to settle for the status quo, and always begins working from the ground up – or in this case, from the ground down – when moving into a new business.
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
