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The Boring Co. becomes finalist for San Antonio, Texas transport project
The Boring Company (TBC) is one of the finalists vying for a tunneling project in San Antonio, Texas. The project will run between the San Antonio International Airport and downtown.
The Alamo Regional Mobility Authority (Alamo RMA) is expected to make a decision by Wednesday, March 16. According to Alamo RMA Chairman Michael Lynd Jr. the board could select a finalist and start negotiating a development agreement or postpone the decision. The board may also decide not to move forward with the transportation project altogether. The last two companies up for the project are Elon Musk’s tunneling company and Bexar Automated Transport (BAT). Both have vastly different proposals.
“Even if we decide to move forward with a group this week, there’s no assurance that we’ll get to a point that we’re comfortable that the concept is viable,” said Lynd.
The Boring Company’s Proposal
Rumors of a Boring Company tunnel in San Antonio spread last year. TBC proposed twin underground tunnels to the Alamo RMA in a presentation dated January 2022. Tesla vehicles would transport riders between the international airport and downtown.
The Boring Company estimated that the cost of the twin tunnels would be between $241 million to $298 million. TBC would self-finance the project before turning it over to the board. San Antonio Express-News suggested that Elon Musk’s tunneling company aimed to generate income from the project by operating the loop, similar to its deal with the Las Vegas Convention and Visitors Authority (LVCVA) with the Las Vegas Convention Center (LVCC) Loop.
In Sin City, TBC runs the LVCC Loop for the LVCVA. The LVCC Loop offers free rides to convention center attendees and generates income for the LVCVA through ads, sponsorships, and facility rentals.
The Boring Company has another tunneling project in SIn City, called the Vegas Loop. TBC owns and operates the Vegas Loop. Since the Vegas Loop is not operational yet, the Alamo RMA does not know how much TBC would charge local passengers or the revenue the twin tunnels could generate. However, TBC did release a list of possible fare prices for the Vegas Loop in 2021. Prices started at $5 for a 3-minute ride through a 2.8-mile tunnel.
Bexar Automated Transport’s Plans
The other finalist for the San Antonio transportation project, BAT, proposed an autonomous all-electric bus system. BAT’s proposed bus system would travel through a combination of elevated and underground tracks. The buses could accommodate up to eight passengers per trip, running at 45 mph between the airport and the Convention Center. BAT estimated its proposed tunneling system would cost $330 million. The company also stated it would require a public subsidy for construction and recommended that VIA Metropolitan Transit operate the system.
Documents from Praetor Capital forecasted that BAT’s proposed transportation system could charge passengers $6.50 per trip. BAT estimates ridership to be about 500,000 per year for a $13.7 million revenue.
The Alamo RMA board believes it could sell bonds to finance a transportation system project. Ultimately, the final decision seems to rely on finances.
“Ultimately, it’s got to be financible. As the RMA, we don’t have a bunch of money sitting in a bank account that we can throw at a project like this,” Lynd stated.
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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.
News
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.