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Tesla Model 3 zips through Boring Co. tunnel at 116 mph in latest video
The Boring Company has been busy refining its tunnel technology since unveiling it last December, and a new video shared by venture capitalist and Tesla board member Steve Jurvetson has provided the best encapsulation of the experience yet.
In the video, a Boring Company team member is first seen transporting Jurvetson and another passenger in a Tesla Model 3 onto the system’s elevator entrance while discussing driver options during the journey. “We usually offer a slower ride on Autopilot or a fast ride [with] manual driving,” the driver explained. The group then sped through the tunnel, reaching a maximum 116 mph while crossing the underground distance from the corner of Prairie & 120th Street to the corner of Crenshaw & Rocket Rd in Hawthorne, CA. Total travel time between each of the the tunnel ends was about one minute.
The Model 3 driver also revealed upcoming self-driving options for future Boring tunnel transits. “Right now Autopilot goes up to 90 [mph], and we’re increasing it to 125,” he detailed. The group traveled using the manual driving option in the video, however. Alongside updates to driving options available, a button labeled “Request Departure” was added to initiate the tunnel journey via the all-electric midsize sedan’s touchscreen, and route information was displayed while underground.
Note: The original video referenced was removed from YouTube shortly after this article was published. Another version was uploaded to Twitter and is posted below.
https://twitter.com/tesla_truth/status/1142235000554676224?s=21
As seen in the last Boring update posted in May, the Model 3 in the travel demo was not using the vehicle skates present during the company’s opening party. The traffic-busting tunnel now appears to have a much smoother ride thanks to this change, something Boring Company founder Elon Musk previously explained as, “simple and just works.” This change and other subtle additions and modifications demonstrate both Musk’s and the company’s desire to continuously innovate their technology.
The Boring Company was created as a two-fold answer to frustrating traffic situations. First, it’s an alternative travel route that avoids above-ground congestion; and second, it lowers the cost of tunnel boring technology overall by using new design and engineering approaches to old digging machines. The venture’s one-mile demo tunnel was built for about $10 million dollars as compared to the $500-$1 billion dollars it traditionally costs to dig a tunnel of the same length. Notably, Jurvetson simultaneously shared a few photos of the tunnel boring machine being used for the company’s current projects with his video.
Bypassing the LA Rush Hour Commute, at 116 MPH, underground.
I took video: https://t.co/ZZmO160INlThe latest iteration on the @BoringCompany masterplan to resolve soul deadening traffic. Did you know that a tunnel is just about the best terrestrial place to be in an earthquake? pic.twitter.com/foNznpdCG9
— Steve Jurvetson (@FutureJurvetson) June 22, 2019
The short Hawthorne-based test tunnel isn’t the only transit project Musk’s underground venture has on its manifest. Last month, board members of the Las Vegas Convention and Visitors Authority approved a Boring Company contract to build two tunnels to transport passengers between locations under their convention center. Additionally, an environmental assessment was recently completed for a Boring-built tunnel between Washington DC and Baltimore, Maryland that will enable 15-minute trips between the two destinations. If approved, Hyperloop technology may also be compatible with the system, introducing travel speeds of over 600 mph.
Overall, The Boring Company continues its growth into yet another industry disruption that challenges the status quo. Smoother rides are definitely a step in the right direction, and Autopilot integration seems like a natural fit considering Tesla’s push towards autonomy and long-term vision.
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
