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The Boring Company skeptics are making the same mistakes as Tesla and SpaceX critics
The Boring Company is truly becoming an Elon Musk-founded company in more ways than one. Apart from developing quite rapidly for a startup of its nature, the tunneling firm is also receiving quite a lot of criticism from avid skeptics, many of whom seem to be under the impression that the Boring Company’s projects are pointless, or badly-planned at best.
Earlier this month, CNN Business published a piece on The Boring Company’s Las Vegas Convention Center loop system, which is poised to be opened early next year. The project was granted a $48.6 million contract but is expected to cost a total of $52.5 million, and it involves two mile-long tunnels where Teslas could ferry passengers from one side of the Las Vegas Convention Center complex to the other.
Needless to say, several individuals consulted by the news agency were extremely skeptical of The Boring Company’s vision. Christof Spieler, a lecturer at Rice University who researches transit and urban planning, sharply criticized the tunneling startup’s concepts, arguing that the Loop system seems poorly thought-out. “These feel like the kind of renderings an architecture student would do for their one-semester project. I don’t see any evidence that this has really been thought through in terms of how it would function,” he said.
Explaining further, Spieler remarked that the LVCC Loop’s renderings make the system look more like taxi-loading areas. With such a system in place, the lecturer noted that issues would likely arise when the system is in operation, such as cars jockeying past each other to pull in and out, which would, in turn, adversely affect the system’s operations. He also noted that the renderings do not seem to show any barriers that would block unauthorized cars from entering the tunnels.
Ultimately, Spieler noted that a standard people mover is still a superior solution, as passengers do not need to duck to board vehicles and they could also hold their luggage instead of accessing a car’s trunk. “It seems like car-thinking applied to a transit problem that we already know how to solve,” he said.
Gerry Tierney, who co-directs the mobility lab at Perkins&Will, which has designed transit systems in North America and the Middle East, was bolder in his criticism of The Boring Company. He took issue with the system’s use of Teslas, calling the idea “comically inefficient” and refusing to call the LVCC Loop a transit system. “This is not a transit system. It’s a system for driving electric vehicles underground,” he said, adding that Musk’s idea is pretty much what would happen if intricate transit systems like the London Underground replaced its subway trains with cars.
While The Boring Company’s technology is yet to be proven, it also seems pretty careless to completely discount the LVCC Loop’s potential even before it could be tested. The Boring Company and its technology are not being developed by a random group of unqualified individuals, after all, and Elon Musk himself has proven over the years that even conventionally insane ideas–such as landing the first stage of an orbital rocket on a drone in the middle of the ocean or scaling the production of a mass-market electric car–could be feasible if enough work is put into them.
Overall, the tunneling startup’s skeptics seem to be making the exact same mistakes as those who were also critical of Musk’s previous projects in SpaceX and Tesla. Musk was not joking when he remarked that the idea of using Teslas in tunnels is more profound than it sounds. This is partly because The Boring Company’s innovations are not really its people-movers, it is the tunnels themselves. While the use of all-electric vehicles in the Loop systems is a key part of the Boring Company’s vision, the startup’s true disruption lies in the ways that it could build tunnels far quicker and far cheaper than any other company in the industry.
The Boring Company intends to accomplish these goals with rather simple solutions. Smaller tunnels are faster to build, so the tunneling startup designed its tunnels to accommodate smaller vehicles. All-electric cars are used so that the tunnels do not require an extensive system designed to handle emissions from vehicles that use it. The Boring Company’s tunnel boring machines (TBMs) are also optimized consistently, making them progressively faster and cleaner to use. These may all seem like little adjustments to conventional tunneling practices, but each one represents a step towards a potential future where tunnels could be built at scale rapidly, and perhaps even autonomously.
It is easy to mock or dismiss the ideas of people like Elon Musk and his teams at The Boring Company, SpaceX, and Tesla. But inasmuch as Musk’s companies make it pretty easy to target them due to their goals and nature, SpaceX and Tesla’s history shows that more often than not, it is a mistake to bet against Musk and his team of visionaries, almost all of whom seem to have the tendency to think outside the box by default. As for the Boring Company’s LVCC Loop, there seems to be a good chance that it could outperform expectations, with recent simulations showing that the system could move about 13,000 people an hour, and that’s with the system operating nowhere near their limit.
News
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
