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Elon Musk’s Boring Company in talks for airport tunnel project in Silicon Valley
The Boring Company, Elon Musk’s tunneling startup, might have another tunnel project on its hands. In a statement earlier this week, San Jose Mayor Sam Liccardo stated that he has been in talks with The Boring Co. over the last 18 months to discuss the possibility of building a tunnel linking Diridon Station and the Mineta San Jose International Airport — a distance of about 4 miles.
Addressing reporters at City Hall, the San Jose, CA mayor noted that the tunnel project could give Diridon Station a chance to “grow with the city,” particularly as Google is expected to construct a campus near Diridon in the future, which would likely bring thousands of people to the area. Apart from this, Diridon Station, the city’s main transit hub, is expected to undergo an overhaul in the future, with the Bay Area Rapid Transit (BART) line set to extend downtown to the station itself.
Around five years ago, cost estimates for the construction of a conventional rail link connecting the Mineta San Jose International Airport to Diridon were listed at a hefty $800 million. Liccardo noted that tunnels, particularly those constructed by The Boring Company, could cost just a fraction of the $800 million estimate. That said, the mayor clarified that the project, provided that it does happen, would not be locked with the Boring Co.
“It’s not that cost effective. We’ve been looking at alternatives. This is going to be open to everybody. What we’ve been exploring is the technology,” the Liccardo said.
While the idea of another Boring Company tunnel is a compelling thought, the San Jose mayor’s idea has been met with some opposition. What is rather noteworthy is that opposition to the project appears to be based on criticisms of Elon Musk as a person, not The Boring Company’s technology itself. These concerns were outlined by Jeffrey Buchanan, a member of the worker-advocacy group Working Partnerships USA, who expressed his doubts about Elon Musk’s involvement in a statement to The East Bay Times.
“There’s a lot of important decisions the city needs to make about Diridon Station and infrastructure and investments, and it’s really important that when we look at construction of our public works and operation of our public spaces that we’re working with employers that respect employees,” he said.
Elon Musk’s Boring Company might be more of a hobby for SpaceX and Tesla CEO, but the tunneling startup has accomplished some notable breakthroughs since its founding back in 2016. When the startup unveiled its test tunnel in Hawthorne last December, for one, Elon Musk revealed that the cost of the 1.14-mile tunnel was just around $10 million, including internal infrastructure, lighting, safety systems, ventilation, and tracks. That’s substantially cheaper than larger, conventional tunnels, which could cost as much as $1 billion per mile.
The Boring Company is also working in developing a next-generation tunnel boring machine that is all-electric, making it faster, quieter, and cleaner than conventional TBMs. These innovations are expected to be utilized in the company’s upcoming projects, such as the Chicago-O’Hare high-speed transport line.
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
