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Musk outlines cost-cutting plan for Boring Co: cheaper, faster tunnel digging
One of the large reveals made by Tesla and SpaceX Chief Elon Musk at TED2017 was his plan to create a multi-layer high-speed tunnel infrastructure to support mobility by way of electric skates and Hyperloop tubes.
A key point that he drove home for the underground tunnel network was the integration of the system into cities.
“You have to be able to integrate the entrance and exit of the tunnel seamlessly into the fabric of the city. So, by having an elevator, sort of a car skate that is on an elevator, you can integrate the entrance and exits to the tunnel network just by using 2 parking spaces.”
Musk shared a video demonstrating how skate elevators would be integrated into city streets where they await vehicles looking to be transported through the underground labyrinth of tunnels. The serial tech entrepreneur envisions loading docks wherein vehicles would simply pull into the skate, get lowered into the tunnel network, and be sent along a slot car-like track at speeds of 200 km/h ( 124 mph). The Boring Company’s tunnel network won’t simply alleviate surface congestion, it will completely transform the way we move cars, people and freight, says Musk.
It is worth noting that The Boring Company and Tesla are under control of Musk, while the Hyperloop project has been open sourced, but with support from SpaceX.
Eliminating human drivers allows the skates to move at much faster speeds than human-controlled vehicles. Fixed routes within the tunnel network further improve safety beyond the dynamic nature of human-determined driving routes. The tunnel network is also infinitely scalable. “You can alleviate any arbitrary level of open congestion with a 3D tunnel network.” and that “There’s no real limit to how many levels of tunnels you can have.”, says Musk from TED2017.
The key barrier to creating tunnels today is the exorbitant cost. The recent 2.5 mile expansion to the Los Angeles subway system came at a cost of nearly $1 billion per mile. Musk and team at the Boring Company hope to cut the cost of tunneling by a significant amount by streamlining the tunneling process and reinventing the machines that help facilitate the digging.
https://www.youtube.com/watch?v=u5V_VzRrSBI
Building Tunnels For Less
First, the team is looking to cut the diameter of the tunnels they dig, moving from the traditional tunnel diameter for passenger vehicles of 26 to 28-feet to a 12-foot standard diameter which would be sufficient for the Tesla skate. On the surface, this might not seem like a lot, but cutting the diameter by 50% cuts the cross sectional area by a factor of four. This is significant as the speed and cost of tunneling is largely driven by the amount of cross sectional area to dig. Being able to cut out 75% of the time associated with digging comes with enormous cost savings.
Second, the team plans to attack head-on the way tunneling machines currently dig. Traditional machines dig, slowly and incrementally, then stop to install reinforcements to support the newly exposed earthen walls. Musk and team are working to install the reinforcements continuously thus eliminating the need to pause operations. This integration is expected to increase the speed of the overall process by as much as 50%.
The Boring Company tunneling machine spotted in front of SpaceX in April, 2017
Finally, the team believes that current digging machines are nowhere near their power and thermal limits, and is looking to ‘jack up the power’ to the digging machines. Doing this, the team hopes to increase the speed by a factor of 4 or 5 on top of the other improvements being suggested by Musk.
Musk also revealed that The Boring Company has a pet snail named Gary who can currently travel at 14 times the speed of existing tunneling machines. While this is more a testament about how slow the boring process is than the amazing speed of Gary, it is a fun target for the team, to be able to build tunnels quicker than Gary can crawl, and continues the comedic spin on the new company.
These tunnels could be kept at or near a vacuum to reduce or eliminate air resistance for all the moving objects within it. Curiously, Musk shared that,
“To withstand the water table, you have to design a wall to be able to withstand 5 or 6 atmospheres. To go to vacuum, you only need to be able to withstand 1 atmosphere.”
It is clear that Musk is very excited about this new Boring Company. He indicated during his sit down at TED2017 that he spends 2-3% of his time on the project, noting that it’s essentially being run as not much more than an intern project with a used boring machine and a few people dedicating partial effort to it.
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”
