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Elon Musk’s new boring company aims to build 30 levels of tunnels for cars and Hyperloop
Elon Musk confirmed that he really is starting to a new tunneling company and as with many of his other side projects, it’s starting right there at SpaceX. He shed new light on the project yesterday in an interview with Bloomberg, announcing that the venture will be an independent venture aimed at building vast underground transportation networks for cars and high speed trains such as the Hyperloop.
What’s in a Name?
Musk’s sense of humor is evident in the list of potential names for the company, Elon even going so far as to consider trolling Toys “R” Us in suing: “My other idea was to call it Tunnels R Us and to essentially troll Toys “R” Us into filing a lawsuit,” the slightly deranged CEO cackled. In my mind, he’s channeling Mr. Burns from the Simpsons. “Now we’ve decided to troll AT&T instead! We’re going to call it American Tubes and Tunnels.”
Ultimately, he settled on The Boring Company which in and of itself is loaded with wordplay. Even the acronym is funny, rocking a big TBC, or To Be Continued, which is comical on more than a few levels with Musk always dreaming up, starting and delivering on yet another completely disruptive idea in a disparate industry.
To kick off this rather mundane company, Elon and SpaceX have a leader in charge but no full time staff though it has secured a domain over at BoringCompany.com.
New Details on The Dig
Elon shed some light on the team’s intentions with the original dig, stating that the only reason it started there is because they already own the land and wouldn’t need any additional permits to get started. In parallel to the on-site construction, a team is working to secure the necessary permits to extend the initial tear in the earth beyond the property lines of SpaceX.
The initial hole will evolve into a sort of ramp that will ultimately serve as the point of entry for a full sized boring machine to get down around 50 feet down which is necessary to avoid gas, sewer and other infrastructure that sits closer to the surface.
But where is it going? Musk and team have not shared any details on the actual destination of the tunnel. With Musk’s ideas and pension for getting things started, there’s likely a team of undergrad interns locked away in the basement of SpaceX mapping out the nuts and bolts of the tunneling solution including where this initial stretch will actually go.
To Infinity and Beyond
To get the project started and to really dig into the possibilities of tunnels, a used boring machine, dubbed Nessie, was purchased for pennies on the dollar, not so much to dig the hole, but to get the team grounded in the technology.
From there, Elon has full confidence that the speed of boring can be improved 5-10x which is based more on a first principles analysis of the technology than actual experience tunneling not that a lack of industry experience has ever stopped Elon in the past, having already transformed the online banking industry with Paypal, the entire automotive industry with Tesla and rocketry with SpaceX.
Disruption
Ever the mad scientist, Elon seems to thrive on change, seeing the possibility through the stagnation, or maybe because of it.
Looking more broadly at urban transportation, even Tesla + Hyperloop will have a tough time solving the problem if we are bound to the surface. Peeling back the crust reveals almost endless volumes of space to play with and Elon hopes to do just that, even talking of certain areas having 30 layers of tunnels which to the unimaginative minds of the masses is incomprehensible.
Whether or not Musk’s latest machination will make it off the property of SpaceX is yet to be seen but one thing is for certain – the fuse that is Elon Musk has been lit and he is going to make an honest effort at leveling up the way we get around town by taking us all underground.
Source: Bloomberg
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
