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The Boring Company’s Vegas Loop simulation shows path to 20K+ commuters per hour
A new simulation of The Boring Company’s Las Vegas Convention Center Loop has revealed that the tunnel system has the potential to move over 20,000 people per hour. That is, at least, if the company employs its planned high-capacity AEV people-mover, which is expected to be built on the Model X and have a seating capacity of 16 passengers.
Tunneling enthusiast Phil Harrison utilized the same PTV VISSIM software he used when he ran a previous simulation to see how far a Model 3-powered Las Vegas Convention Center Loop could go if each station was limited to 100 people. Harrison included a disclaimer for his recent simulation, partly in light of comments from Boring Company skeptics, some of whom pointed out the lack of accessibility options in the Loop system, as well as the fact that the VISSIM software featured some clipping of vehicles through objects.
1/ The clipping of vehicles is due to a basic conflict resolution algorithm. Humans and indeed Autonomous Vehicles will be able to make nuanced and sophisticated decisions at conflict points while maintaining the average speeds approximated in the simulation.
— Phil Harrison (@phlhr) December 13, 2020
Following is Harrison’s disclaimer covering the parameters of his simulation:
The intent is to show what is theoretically possible to help understand the limits of the Loop system. The LVCC Loop is the first part of a Vegas-we individualized Express Mass Transit system that will allow for high-speed non-stop point-to-point travel with capacity that scales with the number of stations.
Many nuanced aspects are not able to be simulated and therefore have been approximated.
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- Unfortunately, I am not able to model accessibility options (there is no reason to doubt that the real LVCC Loop will be adhering to accessibility standards)
- The Model X vehicle is a placeholder for a rumored 16-seater AEV people-mover.
- Alightment on both sides of vehicles assumed as per station but not simulated.
- Dwell times are randomized but average 40 seconds.
- Station layout and track alignment are as per official Clark County plans.
- Actual layout of stations may differ materially from what is shown.
- Clipping of vehicles through objects is a byproduct of a simple conflict resolution algorithm. Real-life autonomous vehicles can navigate shared spaces safety at the same average speed as simulated.
Harrison shared two simulations of the LVCC Loop with its initially-planned AEV people-movers. The first simulation, which depicted the system with only pedestrian signals and no escalators, resulted in the Loop accommodating 18,650 commuters per hour. This is if the 16-passenger pods are only filled by 12 people, and if the speed of the vehicles is limited to just about 60 mph.
Once escalators are used in the LVCC Loop stations, and the pods are allowed to travel about 75 mph, the simulation was able to move an impressive 21,600 people per hour through the Boring Company’s tunnels. That’s a number already approaching mass transit levels, and not bad at all for a system that was built for just over $50 million. After all, the other company shortlisted for the Las Vegas Convention Center project, Doppelmayr, proposed an above-ground transit system that was estimated to cost $215 million.
Watch the new simulation of The Boring Company’s LVCC Loop in the video below.
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”
