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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.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.