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Tesla is looking at Boring Co. tunnels to transport materials for Model 3 production
Elon Musk’s The Boring Company could be brought in to help the Tesla Factory at Fremont in the manufacturing of the Model 3. In a statement during Wednesday’s Q4 earnings call, the Must noted that the company is looking to build a tunnel between its 901 Page Ave. seat factory in Fremont to the main Tesla Factory roughly 3 miles away at 45500 Fremont Blvd.
While discussing an inquiry from Bank of America’s John Murphy, who asked about the company’s production plans for the Model 3 and a possible manufacturing limit on the Tesla Factory, CTO JB Straubel stated that issues do emerge in the transportation of materials from one facility to the next.
According to the Tesla executive, the company is developing high-density and high-velocity lines, but limits emerge when it comes to how quickly materials can get transported from one line to another. Thus, when the Model 3 production hits its full pace, the limit to production would lie in how many trucks can dock after going to and from each factory.
During these discussions, Tesla CEO Elon Musk unveiled a novel idea, stating that the California-based electric car maker and energy company would be using The Boring Company tunnels as a way to expedite the transportation of materials from one facility to the next.
“We are looking at building tunnels, using The Boring Company’s thing, because we have, for example, our seats production is at a separate building on Page. And we have a bunch of trucks moving seats back and forth between both the primary Fremont production and the seat factory.
“And we actually get constrained on how many trucks can we dock and undock at the seat factory, which is only, I don’t know, half a mile or a mile away from the vehicle plant. So it’ll be pretty easy to just have a tunnel, do an automated conveyance from seats to the factory,” Musk said.
Overall, Musk is optimistic about the potential of using The Boring Co.’s machines and tunnels as a way to help increase the pace of Tesla’s manufacturing. The Tesla CEO even noted that if the company manages to accomplish this, the optimal pace of the main Fremont facility could improve to 700,000 vehicles per year, comprised of 600,000 Model 3 and 100,000 Model S and X.
“And there are things we can do, where we can build sub-systems and then transport sub-systems to Fremont. These things get increasingly difficult, but they’re all doable. But I can see a path where we get to say 600,000 Model 3 production and 100,000 S and X, so maybe 700,000, which should be like almost 50% more than GM or Toyota got out of the plant. I mean that seems achievable,” Musk said.
Tesla’s Fremont Blvd. and Page Ave. facility are roughly three miles apart by car, which, under normal conditions, would take about 10-14 minutes of travel, according to Google Map estimates. With a tunnel system in place, the time it would take to transport materials between the two factories would be significantly reduced, along with the infrastructure needed to support a high volume of commercial trucks.
Elon Musk did not specify any other details about the idea, though the online community has posted a rough idea of where the tunnel between the main Fremont facility and the Page Ave. factory might run. A link to the possible tunnel between the two plants could be viewed below.
As we covered in a previous report, The Boring Co. is currently attempting to secure all the permits and documentation needed to dig a proof-of-concept tunnel from northeast Westchester to Brentwood, CA. The proposed 6.5-mile tunnel system is planned to run under Sepulveda Boulevard, right across Culver City, and is aimed to showcase the benefits of Elon Musk’s tunnel system to the city’s traveling public.
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
