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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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
