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SpaceX & Boring Co. engineers are flying to Thailand to assess options for rescue efforts
In a recent update on Twitter, Elon Musk stated that engineers from SpaceX and The Boring Company would be flying to Thailand tomorrow to assess how to best help the Thai government in its rescue efforts for the stranded soccer players in the Tham Luang Nang Non cave complex.
Musk’s recent statements come as a response to updates posted by James Yenbamroong, an entrepreneur and founder of mu Space Corp, who stated that SpaceX engineers had already reached out in an attempt to connect with the Thai government. Government officials are currently looking into three plans to rescue the 12 stranded children and their coach. Among these involve teaching the young soccer players to dive, draining the caves of water to make extraction easier, and drilling a hole from the surface to provide a way out.
SpaceX & Boring Co engineers headed to Thailand tomorrow to see if we can be helpful to govt. There are probably many complexities that are hard to appreciate without being there in person.
— Elon Musk (@elonmusk) July 6, 2018
Yesterday, Musk offered to dropship Tesla Powerpacks and water pumps on the site of the rescue efforts to help in draining the caves. Musk also offered technology from The Boring Company as a means to help with the Thai government’s third rescue option. Among the most challenging portions of the cave, however, is a 70cm cross-section located about 3.1 miles away from the stranded soccer team, which gives trouble to the water pumps. The Thai government also expressed some reservations about the idea of digging a hole to reach the children and their coach, considering that the air pocket where the group is currently located is half a mile underground.
In a series of tweets today, Musk threw some ideas that could work to help in draining the caves and retrieving the children. According to Musk, it might be worth looking into the idea of inserting a 1-meter diameter nylon tube through the cave network that could be inflated with air “like a bouncy castle.” This would create an air tunnel underwater against the cave roof and auto-conform to odd shapes in the network including the tricky 70cm cross-section. Velcro slits at the ends of the tubes, as well as a continuous air feed, would allow the tube to remain inflated. According to Musk, this particular solution would require little power since that the work done is low.

A map of the cave system where the members of the Thai Wild Boar soccer team are located. [Credit: James Yenbamroong/Twitter]
The Wild Boar Soccer Team entered the Tham Luang Nang Non cave complex last June 23. Due to the monsoon rains, however, the team, comprised of children aged 11-15, as well as their 25-year-old coach, were forced to take shelter in an air pocket 2.5 miles away from the entrance to the caves. The team was located by two British divers last Monday, and since then, the children have been supplied with much-needed food and other survival supplies. Thai Navy SEAL divers, including a doctor and a nurse, also stayed with the soccer team on Tuesday.
The ongoing rescue efforts have taken a toll on the rescuers themselves. As noted by The Guardian, Saman Kunan, a former Navy Seal diver who opted to assist in the rescue, recently died while volunteering in the caves. Kunan was found unconscious in the caves after he transported tanks from the caves’ third chamber. First aid was attempted by his colleagues on site, but efforts to revive him were ultimately unsuccessful.
Tesla is no stranger to humanitarian efforts. The company has responded to Puerto Rico’s call for help in reviving its battered power system after Hurricane Maria. Tesla was also pivotal in providing power for the first time to a town in the Philippines that has never experienced a constant power supply in its history.
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.