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Why The Boring Company’s $10 million dollars per mile price tag is a game changer
With The Boring Company, Elon Musk hopes to overcome the pitfalls that drive up the costs of underground rail transport construction using good old-fashioned innovation with a dash of Silicon Valley startup dust (dirt?). Currently, most U.S. local and state governments (i.e., tax payers) hand over an average of $200-$500 million dollars per mile to construct a subway system, with hundreds of millions more per mile a common occurrence and even a $1 billion dollars per mile price tag having happened a few times already. The reasons for such expense seems to be multi-faceted and stubborn: regulations, unions, and project management. So, when the Tesla CEO and Boring Company founder cited $10 million dollars as the final price of their mile-long demonstration tunnel, including internal infrastructure, lighting, comms/video, safety systems, ventilation, and tracks, he seemed to be threatening to completely upend yet another industry, this one having been at the core of transportation for nearly 200 years.
“I like trains, by the way. I really like trains a lot,” Musk assured his press audience at the company’s recent demonstration tunnel opening event. The Boring Company (TBC) began as a Twitter discussion wherein the tech mogul was venting about “soul-destroying” traffic in Los Angeles. A concept animation followed soon after (as well as hats and not-a-flamethrowers), imagining a transportation system where cars would be shuttled around at high speeds underground on electric skates. Ideas flowed, tunneling began, and the result of all those efforts went on display December 18, 2018, demo rides included. A rideable 1.14 mile tunnel had been constructed from Crenshaw Boulevard across from the Hawthorne, California headquarters of SpaceX, Musk’s private rocket company, to the 120th Street/Prairie Avenue crossroad of Hawthorne.
Around this time last year, Brian Rosenthal of the New York Times exposed several astonishing factors that added up to a $3.5 billion dollars per mile cost to construct a 3.5 mile tunnel to connect Grand Central Terminal to the Long Island Rail Road in New York City, aka the “East Side Access”. An infamous “first”, this price tag is 7 times more than the average of anywhere else in the world. A combination of trade union, construction company, and consulting firm practices, including significant staff redundancy, bred an environment ripe for cost pile-ups, and both incompetence and the lack of oversight within New York’s Metropolitan Transportation Authority (MTA) added significantly to the issue. While the specific amount of money spent made the system’s cost unique in the world, the general underlying issues were not uncommon.
New York may be an exception to the already high-cost of rail construction rule, but there’s the rub: It’s already incredibly expensive. As documented in numerous articles by Alon Levy, an independent journalist whose 2011 blog post on the topic inspired the research that eventually led to the Times piece, $100-$500 million dollars per mile is a typical cost for building railed transporation worldwide. “These are crazy numbers,” Musk exclaimed at the tunnel opening event after summarizing the multiple billions of dollars short tunneling projects cost to complete in L.A. and New York. If the building cost wasn’t enough sticker shock, it gets worse: The daily operating costs of rail systems in the U.S. exceed the amount earned.
Another metric that is used to estimate the true cost of rail construction is cost per rider. After the time and money is spent building a public rail system, it needs to be staffed and repaired, expenses which are difficult to match with revenue without a large number of riders. As cited by Alon Levy in an article Elon Musk tweeted recently, New York’s Second Avenue Subway will cost $25,000 per rider to complete 200,000 trips per day. In Los Angeles, the Purple Line will cost $45,000 per rider for 150,000 trips per day as will Boston’s Green Line Extension for 52,000 trips. Looking at rider fares, New York loses a bit less than $1 per ride taken and L.A. loses over $2 per ride.
So, how will The Boring Company “do” underground transportation system building better than the traditional, money-heavy methods? To put it simply: Be efficient.
Building a better mouse snail trap
They’ve designed their tunneling machines to bore faster and more efficiently. While the first generation machine is conventional and named Godot after the Samuel Backett play, Waiting for Godot due to the length of time it took to understand the machine’s functionality and assemble it, two other improved generations will be part of the Boring family.
The second generation machine, named “Line-Storm” after a Robert Frost love poem with the same phrase in its title that’s about overcoming hardships, is a conventional boring machine that has been highly modified. It uses a redesigned cutting head that takes in significantly more dirt and is 2 times faster than Godot.
The third generation machine, named “Prufrock”, will be a ground-up, fully designed TBC machine that’s 15 times better than the next best boring system, and that means 15 times faster than the next best machine out there, period.
Improved construction practices and project management
During construction, TBC reinforced tunnel segments as they were dug, those reinforcements being created on-site out of materials comprising 70% of the dirt dug and the remaining 30% primarily cement. This recycled material, as-you-go system enabled quick construction with cost efficiency, the demo tunnel taking 2 years almost to the day from Musk’s initial Tweet that inspired the undertaking.
Function-focused engineering
TBC’s tunnels are smaller than the typical underground rail system because they’re designed for specific types of vehicles that are smaller than traditional transports (autonomous electrics) and don’t require extra space for maintenance. This in itself reduces costs by 3-4 times.
Although The Boring Company has the advantage of being the new kid on the block whose founder has a unique background in shaking up traditional systems, there may still be a few hangups that will never quite go away. Anything involving the general public, especially public transit, will have serious bureaucracy involved. To achieve the company’s mile-long demo track feat, it had to face the extreme regulatory environment of Los Angeles. California overall has earthquakes, is a methane zone, and has oil and gas fields, all which add to a long list of rules to be followed for any construction projects to commence. “The amount of paperwork we had to go through to do this was enormous,” Musk said at TBC’s recent event.
Additionally, a lawsuit filed last year by the Brentwood Residents Coalition and the Sunset Coalition objecting to the company’s Sepulveda tunnel eventually led to their abandonment of that leg of the demonstration project. The coalitions primarily alleged that TBC was skirting environmental review requirements by “chopping large projects into smaller pieces that taken individually appear to have no significant environmental impacts”, citing a conceptual map the company released showing its planned Los Angeles tunnel system. Musk hasn’t let these hurdles damage his confidence, however. While speaking with press at TBC’s opening event, he added his own spin to the Broadway mantra (and Frank Sinatra hit, “New York, New York”) about “making it” there : “If you can build a tunnel in L.A., you can build it anywhere.”
As CEO of an innovative electric car company and a commercial rocket company set on sending humans to Mars, Musk is known as an industry disruptor. Even if the cost of boring tunnels for public transportation projects rises somewhat above the $10 million per mile price demonstrated with the LA/Hawthorne tunnel, it will be still be well under the typical costs in the boring industry. It’s obvious already that a potential disruption is underway. “We have people hounding us to invest nonstop…it’s kinda ridiculous how much interest we’ve had in investing in Boring Company,” Musk stated at the tunnel unveiling. Steve Davis, president of the company, added that they receive “greater than 5 and less than 20 requests per week from different municipalities and stakeholders.”
Also in the works for the tunneling newcomers: A transport line connecting downtown Chicago to Chicago O’Hare International Airport. The company won a contract to build a transport system for the city’s fliers in June 2017, and ground breaking is planned for sometime in the next few months. The Boring Company’s calendar still includes plans for an “urban loop system” as well, an underground network of pod-type buses for pedestrians and cyclists connecting numerous points throughout city centers.
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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
