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Elon Musk's Boring Company quietly deploys its custom-designed tunneling machine
As it turns out, Elon Musk’s tunneling startup, The Boring Company, has just completed and perhaps even deployed its custom-designed tunnel boring machine. The new digger features several innovations, and it could very well accelerate Musk’s vision of ultra-high-speed tunnels transporting vehicles and people through a vast network of tunnels underground.
The brief announcement was shared by the official Boring Company Twitter handle. The post was simple, showing a group of employees smiling in front of a tunnel boring machine that seems poised to start digging. In the tweet’s description, the startup posted the words “Prufrock is alive.”
This could very well be the biggest news to come out from the Boring Company since Elon Musk and TBC Head Steve Davis held an information session about the tunneling startup and its technologies at the Leo Baeck Temple in Los Angeles, CA back in May 2018. This is because unlike traditional tunnel boring machines (TBM), Prufrock is custom designed by The Boring Company, and it is expected to be capable of digging far quicker than its conventional counterparts.
The Boring Company started with Godot, a traditional boring machine that pretty much functions like a regular TBM. Godot is believed to be the boring machine that created the Hawthorne test tunnel, and while it works just as well as a TBM could, it is also immensely slow. Following Godot, the Boring Company designed Line-Storm, a TBM that is essentially a heavily modified conventional boring machine. In terms of speed, Line-Storm is capable of at least digging twice as fast as a traditional TBM like Godot.
But Godot and Line-Storm are just the beginning. During The Boring Company’s information session, Elon Musk and Steve Davis talked about a third tunneling machine. This machine, called Prufrock, is entirely designed by the startup, and it is expected to dig about 10-15 times faster than traditional boring machines like Godot. That’s a notable improvement over conventional diggers, and it has the potential to revolutionize tunneling technology in one fell swoop.
Elon Musk described each of the Boring Company’s TBMs as follows.
“Godot, which is the name of the first machine, is a conventional tunnel boring machine… So going from Godot to Line-Storm, Line-Storm is a highly modified boring machine, but it’s essentially a hybrid between a conventional boring machine and Prufrock, which is the fully Boring Company-designed machine. So Prufrock, that will be quite a radical change. Prufrock will be about ten times, aspirationally 15 times faster than current boring machines. I think very likely ten times.”
The Boring Company is involved in several projects, from the Dugout Loop in CA to the Las Vegas Convention Center tunnel in Nevada. Among these, the LVCC loop seems to be the most active, though the startup has not announced which of its machines had been deployed on the site. Considering that the TBM managed to complete the first of its two tunnels already, perhaps the machine digging under Las Vegas today is Line-Storm. As for Prufrock, the project where it will be deployed for the first time will likely be incredibly lucky.
The Boring Company’s potential disruption, after all, largely depends on how fast it could construct tunnels in a safe and efficient way. As noted by Elon Musk, this has a lot to do with the speed of TBMs themselves, as regular diggers move at a fraction of a snail’s pace. If The Boring Machine could at least match the speed of a snail, then a transport tunnel’s turnaround time would be drastically lower. This, of course, opens the doors to more tunnels being built, effectively ushering in Elon Musk’s vision of an ultra high-speed, underground future.
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
