News
Elon Musk offers Tesla Powerpacks, Boring Co. tech to help rescue stranded soccer team in Thailand
In a recent update on Twitter, Tesla CEO Elon Musk offered to lend a hand to the ongoing rescue efforts for the stranded soccer team in Thailand. According to Musk, technology from the Boring Company and Tesla could help rescuers retrieve the 12 young players and their coach from the depths of the Tham Luang Nang Non cave complex.
Elon Musk’s offer to help in the rescue efforts for the young soccer team came as a response to one of his followers on Twitter. Musk initially stated that he would be happy to help if he is able, but earlier today, the Tesla and SpaceX CEO offered a concrete way to assist in the rescue operations.
Boring Co has advanced ground penetrating radar & is pretty good at digging holes. Don’t know if pump rate is limited by electric power or pumps are too smal. If so, could dropship fully charged Powerpacks and pumps.
— Elon Musk (@elonmusk) July 5, 2018
The members of the Wild Boar soccer team had been trapped inside the cave complex since June 23, after the group got stranded in an air pocket inside the caverns due to flooding in the area. The team’s plight has captured attention worldwide, and this Monday, the 12 boys, aged 11-15, as well as their 25-year-old coach, received their first dose of good news when two British divers found them in a cavern 2.5 miles away from the entrance of the caves. Thai Navy SEAL divers, including a doctor and a nurse, opted to stay with the soccer team on Tuesday, providing them with food and other supplies.
As noted in a recent report from The Guardian, there are currently three plans being considered for the group’s rescue. The first plan involves teaching the children and their coach how to dive, the second involves draining the tunnels to adequately lower the water levels, and the third involves drilling into the caves to create a way out for the stranded soccer team. If Musk’s tweet is any indication, the Boring Company and Tesla can provide support for the third and second plans.
The Boring Company, after all, specializes in tunneling and drilling underground. As noted by Musk, the tunneling startup’s digging equipment and ground-penetrating radar could be of use when drilling into the caves. Government officials have expressed reservations for this plan, however, considering that the boys are located 800m-1km below the surface. An attempt to drain the caves has already started as well, and as noted by Musk in his tweet, Tesla Powerpack batteries could be hooked up to stronger pumps in order to help lower the water levels in the caverns faster.
Considering the risks brought about by the monsoon season, however, the Thai government is preparing to send up to four months’ worth of supplies to the stranded soccer team, in the event that rescue efforts fail and they have to stay in the caves for the long run.
Tesla is no stranger to humanitarian efforts. Even until today, Tesla is still in the process of helping Puerto Rico get back on its feet after the island nation was ravaged by Hurricane Maria last year. In a recent update, Musk noted that there are currently 11,000 projects ongoing in Puerto Rico today. Over in Australia, Tesla is also laying the foundations of what could become a virtual power plant comprised of 50,000 low-income households fitted with solar panels and Tesla Powerwall 2 batteries.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
