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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
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.”
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
