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The Boring Company skeptics are making the same mistakes as Tesla and SpaceX critics

(Credit: The Boring Company)

Published

6 years ago

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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.

Subsurface Station | Credit: Boring Company

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. 

The Boring Company’s tunnel boring machine at the Las Vegas dig site.

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. 

https://twitter.com/phlhr/status/1327431080945668096?s=20

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. 

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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. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Full Self-Driving insurance program with heavy discount expands

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19 hours ago

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August 3, 2026

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Lemonade has expanded its innovative Autonomous Car insurance program to Tennessee, giving Tesla owners in the state a substantial discount on Full Self-Driving (FSD) miles. Announced on August 3, the product offers 50 percent off every mile driven with FSD activated, positioning the digital insurer as a leader in pricing insurance around autonomous technology.

The program, marketed as Lemonade Autonomous Car insurance, uses a direct connection via Tesla’s Fleet API (with customer permission) to automatically distinguish FSD-engaged miles from manual driving. Policyholders pay a low base rate when the vehicle is stationary and a few cents per mile when moving, with the 50 percent reduction applied specifically to FSD miles.

Coverage includes standard protections such as liability, collision, comprehensive, roadside assistance, and Tesla-specific benefits like access to certified repair shops and emergency crash services. Eligible vehicles require Hardware 4, as well as recent firmware.

Lemonade first unveiled the product on January 21 of this year, describing it as a first-of-its-kind offering designed for self-driving cars, starting with Tesla FSD. It began rolling out in Arizona on January 26, followed by Oregon about a month later. Subsequent expansions brought it to Indiana in early June 2026 and Colorado later that month.

Tennessee marks the fifth state.

Tesla Full Self-Driving gets outrageous insurance offer with insanely cheap rates

The discount rests on Lemonade’s strong belief in the safety of Tesla’s FSD system. The company cites Tesla’s data showing that FSD-driven miles are twice as safe as those driven manually, or associated with roughly a 50 percent crash reduction.

Lemonade Co-founder and President Shai Wininger has emphasized this distinction: “Traditional insurers treat a Tesla like any other car, and AI like any other driver. But a car that sees 360 degrees, never gets drowsy, and reacts in milliseconds can’t be compared to a human.”

He added that “Teslas driven with FSD are involved in far fewer accidents” and committed that as FSD software improves and becomes safer, Lemonade’s prices will drop further.

Tesla Full Self-Driving gets an offer to be insured for ‘almost free’

This approach leverages Lemonade’s existing pay-per-mile technology and AI-driven risk models, which analyze nuanced vehicle data including software version and sensor performance. The company expects the model to reward higher FSD usage with greater savings while supporting mixed households that include both Tesla and non-Tesla vehicles under one policy. Bundling with home, renters, or pet insurance can yield additional discounts.

As autonomous driving technology advances, Lemonade’s state-by-state expansion of usage-based pricing that directly reflects real-world safety data represents a notable shift in how insurers evaluate risk.

Tesla owners in the five available states – Arizona, Oregon, Indiana, Colorado, and now Tennessee – can obtain quotes quickly through the Lemonade app or website, potentially lowering the overall cost of ownership for vehicles equipped with advanced driver-assistance systems. Further states are expected as regulatory approvals progress.

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Cybertruck

Tesla quietly made the Cybertruck even stronger

Published

23 hours ago

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August 3, 2026

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Credit: Tesla

Tesla has continued to flex the strength, rigidity, and robustness of its all-electric pickup, the Cybertruck. In fact, since 2019, Cybertruck’s ability to avoid dents, dings, and even gunfire has been one of the main selling points Tesla has used to attract buyers who are looking for a vehicle that can handle the most intense challenges.

But that does not mean Tesla is not still actively trying to make it even better.

In a new hardware update, Tesla has decided to change the material of the Cybertruck’s underbody panels from aluminum to carbon fiber, a move that aims to not only increase pricing efficiency but also improve strength.

RELATED:

Tesla Cybertruck is officially the safest pickup, IIHS says

Cybertruck Lead Engineer Wes Morrill confirmed the change was made to the Cybertruck recently after it was spotted by Coleton Guerin of Out of Spec. This particular trim level was a Cyberbeast, but it is being applied to all trims to keep supply chain efficiency high and have less variance across trim levels.

Morrill said that Tesla tested different materials for the underbody panel protection, and carbon fiber performed better than aluminum, which is what the company was using since its first deliveries in 2023.

Additionally, there are some efficiency improvements because Tesla can better form the areas around the bolts to keep underbody airflow cleaner than previously.

Carbon fiber is traditionally lighter and more durable than aluminum, which is why it is such a popular material among luxury automakers, and EV makers will utilize some of the materials around battery packs to save weight.

This is the first instance of Tesla utilizing carbon fiber on the Cybertruck’s exterior to help with overall performance and strength. As previously mentioned, Tesla used aluminum to protect the underside of the body, but it is pretty typical for the company to continue making engineering changes that will improve the car in the future.

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Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Published

2 days ago

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August 2, 2026

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Credit: Teslarati

Tesla released Full Self-Driving version 14.3.7 yesterday, and after about 90 miles of testing today, it is evident there are some definite fixes from version 14.3.6, which I wrote about last week and called a regression.

Within the first 40 minutes of my drive on v14.3.7, it saved me from getting into an accident with an unaware Dodge Charger driver, and some of the things Tesla seemed to miss in v14.3.6 were definitely improved. All in all, the release so far has some really great performance, and I’m looking forward to testing it further.

For now, here’s everything I noticed with v14.3.7:

Overall Improvement

Just generally speaking from a ride perspective, this was a really great experience. A lot of the hesitancy I experienced on v14.3.6 was gone. There were no instances of brake-stabbing, wheel-jerking, or any uncertain or unconfident movements. It was void of anything that I felt made it timid with v14.3.6.

The one thing I do hope to see down the road is a smaller need to adjust Speed Profiles so often. Because Tesla calls FSD “Supervised,” I’m okay with needing to hit the scroll wheel a few times a drive.

However, I hope that things can be incrementally improved upon with speed. Sometimes it’s too fast; other times it’s too slow. It’s a difficult thing to hone in and refine, but I hope it eventually gets there.

I didn’t notice any significant left lane camping or any behaviors that were completely out of line. I am hopeful that this opinion does not change, but after driving a few days with this version and putting it in a variety of different situations, you are exposed to more behaviors, some of which are not necessarily what I’d prefer.

The big things to notice, at least in my experience thus far, are that the major issues with previous versions — meaning the braking stabbing and wheel jerking — simply weren’t there. That’s enough to already consider this progress compared to .6.

Manual Signal Override is More Responsive

On .6, I had quite a few issues with FSD ignoring my manually input turn signals. If Tesla wants to call it “Supervised,” then the car should not ignore any input the driver gives. If I touch the accelerator on FSD, the car speeds up.

The car did a great job of obeying my turn signals when I wanted it to change lanes, which is welcome.

Parking Lot Performance

Before .6, I traditionally took over in nearly every parking lot my car entered, because I knew it would not park somewhere that I wanted, and usually, it was just a tad too timid in this setting.

The one bright spot of .6 was how well it handled parking lots. This continued with v14.3.7:

 

I’m always really happy to see progress at all, but once parking preferences come to FSD, as long as this performance is still around, that could potentially be the biggest improvement I’ve seen in FSD in the year I’ve been using it personally on a daily basis.

Full Self-Driving Averts Disaster

A Dodge Charger changed into my lane without checking if I was there, running me off the road. FSD made the initial avoidance maneuver; I grabbed the wheel out of instinct, looked in my side mirror to ensure I had nobody following closely behind, hit the brake, and straightened the car back up to avoid a curb:

There have been quite a few responses to this video stating that I should never have grabbed the wheel. To be honest, I really wish I had not done so, because I do believe FSD would have avoided any sort of collision with anything, including the car or the curb.

However, this was the first time I had ever been this close to being hit while using FSD. My natural reaction was to take over. I think if I had had something like this happen before, my reaction might have been different.

Hitting the brake avoided hitting the curb, while FSD swerved to avoid the car. My concern after the car was clear of my front end was the curb. All in all, I’m really happy with how things turned out, and I think anyone could be a critic of how I handled it. I only had a split second to really make a decision, and thankfully, any damage was avoided.

It is clear FSD managed to avoid the car coming down before I was able to. I truly credit FSD for avoiding the collision.

What Needs to Improve

Better Recognition of Potholes, Uneven Roads, Sharp Changes in Roadway/Bumps

On Friday, my Fianceè and I were in the car, and FSD was driving us. We crossed over a roadway that has a traffic light, and FSD was traveling at 40 MPH on Standard, 5 MPH over the speed limit. Everything was more than reasonable.

However, the road we were crossing at the light has a major bump both as you start and finish crossing it. Without a speed reduction, your car can go airborne. The Tesla did just this on Friday on v14.3.6; it was an uncomfortable bounce that pretty much confirmed I would not ever let FSD go over again unless we were sitting at that intersection when there is a red light.

I even tried scrolling down into Sloth quickly, but I ended up just taking over:

A few people have said it remains related to the vision-based approach and its difficulty comprehending 3D. This is a huge issue because this can cause serious damage at certain speeds.

Navigation

Nothing new here. I still turn off “Online Routing” quite frequently to get the car to take logical routes from time to time.

Auto Wipers

Auto Wipers are just plain bad. I really hope Tesla just uses a rain sensor. I thought they had improved at one point, but I still get dry wipes, Speed 4 on a drizzle, and Speed 2 on a steady rain. In reality, these should be switched.

You can watch our full review of Tesla Full Self-Driving v14.3.7 below:

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