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Elon Musk's Boring Company quietly deploys its custom-designed tunneling machine
As it turns out, Elon Musk’s tunneling startup, The Boring Company, has just completed and perhaps even deployed its custom-designed tunnel boring machine. The new digger features several innovations, and it could very well accelerate Musk’s vision of ultra-high-speed tunnels transporting vehicles and people through a vast network of tunnels underground.
The brief announcement was shared by the official Boring Company Twitter handle. The post was simple, showing a group of employees smiling in front of a tunnel boring machine that seems poised to start digging. In the tweet’s description, the startup posted the words “Prufrock is alive.”
This could very well be the biggest news to come out from the Boring Company since Elon Musk and TBC Head Steve Davis held an information session about the tunneling startup and its technologies at the Leo Baeck Temple in Los Angeles, CA back in May 2018. This is because unlike traditional tunnel boring machines (TBM), Prufrock is custom designed by The Boring Company, and it is expected to be capable of digging far quicker than its conventional counterparts.
The Boring Company started with Godot, a traditional boring machine that pretty much functions like a regular TBM. Godot is believed to be the boring machine that created the Hawthorne test tunnel, and while it works just as well as a TBM could, it is also immensely slow. Following Godot, the Boring Company designed Line-Storm, a TBM that is essentially a heavily modified conventional boring machine. In terms of speed, Line-Storm is capable of at least digging twice as fast as a traditional TBM like Godot.
But Godot and Line-Storm are just the beginning. During The Boring Company’s information session, Elon Musk and Steve Davis talked about a third tunneling machine. This machine, called Prufrock, is entirely designed by the startup, and it is expected to dig about 10-15 times faster than traditional boring machines like Godot. That’s a notable improvement over conventional diggers, and it has the potential to revolutionize tunneling technology in one fell swoop.
Elon Musk described each of the Boring Company’s TBMs as follows.
“Godot, which is the name of the first machine, is a conventional tunnel boring machine… So going from Godot to Line-Storm, Line-Storm is a highly modified boring machine, but it’s essentially a hybrid between a conventional boring machine and Prufrock, which is the fully Boring Company-designed machine. So Prufrock, that will be quite a radical change. Prufrock will be about ten times, aspirationally 15 times faster than current boring machines. I think very likely ten times.”
The Boring Company is involved in several projects, from the Dugout Loop in CA to the Las Vegas Convention Center tunnel in Nevada. Among these, the LVCC loop seems to be the most active, though the startup has not announced which of its machines had been deployed on the site. Considering that the TBM managed to complete the first of its two tunnels already, perhaps the machine digging under Las Vegas today is Line-Storm. As for Prufrock, the project where it will be deployed for the first time will likely be incredibly lucky.
The Boring Company’s potential disruption, after all, largely depends on how fast it could construct tunnels in a safe and efficient way. As noted by Elon Musk, this has a lot to do with the speed of TBMs themselves, as regular diggers move at a fraction of a snail’s pace. If The Boring Machine could at least match the speed of a snail, then a transport tunnel’s turnaround time would be drastically lower. This, of course, opens the doors to more tunnels being built, effectively ushering in Elon Musk’s vision of an ultra high-speed, underground future.
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”
