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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.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
