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The Boring Company’s skeptics need to calm down about the LVCC Loop
The Boring Company’s Las Vegas Convention Center Loop has been completed, and as with every other project from Elon Musk, the initiative has attracted a barrage of criticism from skeptics, some of whom have ridiculed and mocked the transport tunnel system. But just like SpaceX critics who insisted that orbital rockets would never land on a drone ship in the middle of the ocean, or Tesla skeptics who insisted that the Model 3 was a lemon that no one would buy, The Boring Company’s critics may very well be missing a crucial point.
The criticisms surrounding the LVCC Loop are vast, with publications like CNET noting that the system was “disappointing” and “lame” due to its capability to only transport 4,400 people from a fleet of 62 Teslas. VICE described coverage of the LVCC Loop as the “most embarrassing news clip in American transportation history.” Tech publication Futurism argued that the LVCC Loop is “incredibly inefficient.” Even dedicated EV blogs have dismissed the project as “boring.”
And these are just from some publications. A look at the reactions from social media would show numerous users, including the usual band of Tesla and SpaceX skeptics, calling out the LVCC Loop for being yet another example of why Elon Musk is a failure. This became particularly notable after celebrity Kylie Jenner posted a short video of a trip in the Las Vegas tunnels. But amidst the frothing mouths of anti-Elon Musk individuals and those that simply disbelieve the potential of The Boring Company lies one key point—the LVCC Loop, at its current state, is not the end-all and be-all of the tunneling startup’s ambitions.
One thing that Boring Company critics typically forget is the fact that the LVCC Loop’s tunnels are incredibly cheap and quick to build. It’s rarely brought up now, but The Boring Company was one of two companies that were shortlisted for the Las Vegas Convention Center transport system. The other company was Austria-based Doppelmayr Garaventa Group, which proposed a traditional above-ground campus transit system estimated to cost $215 million to complete. The LVCC Loop was completed for $52.5 million. It’s scalable as well, with the LVCC Loop easily being expanded into the larger, more expansive Vegas Loop.
While the Las Vegas Convention Center Loop’s current iteration is a conservative version of Elon Musk’s ambitious tunnel concepts, the core of The Boring Company’s innovation is present in the project. This is because ultimately, The Boring Company’s goal is to make tunneling quicker and more efficient. In this regard, the startup was able to accomplish its goals, and that’s without using its flagship tunnel boring machine. As per previous reports, The Boring Company used Godot+, an upgraded version of its first TBM, to complete the LVCC Loop.
Kylie Jenner showing off The Boring Company tunnel in Las Vegas 👀
🔥 @elonmusk pic.twitter.com/wwN0yc9zIx
— SAINT (@saint) April 14, 2021
The Boring Company is hard at work developing Prufrock, a next-generation, all-electric tunnel boring machine that’s designed to be capable of digging 1 mile per week, or about six times faster than Godot+. Prufrock is designed to begin tunneling within 48 hours of its arrival onsite as well, making its deployments very easy and quick. Machines such as Prufrock, and the incredibly low cost of its tunnels, are The Boring Company’s true disruption.
This is incredibly impressive considering that Godot+ is no slouch. While speaking to German publication Manager Magazin, Martin Herrenknecht, the founder of Herrenknecht AG, dismissed The Boring Company, stating that Elon Musk’s TBMs were only capable of drilling 20 meters in one week. In a statement to Teslarati, an individual familiar with the matter clarified that Herrenknecht’s information was inaccurate, as Godot+ had already managed to dig over 40 meters in one day.
Perhaps the most notable factor to point out amidst the intense criticisms against the LVCC Loop is the fact that the system will most definitely not stay the way it is today. Yes, it only deploys Teslas that are still driven by human drivers for now, but that will soon improve with the use of Autopilot. Yes, the system only has a capacity of 4,400 people per hour with 62 Teslas today, but the vehicles could soon travel quicker, and larger transport pods that hold 16 people per vehicle could improve the system’s capacity. It’s just a bit hard to see these things, or even acknowledge them, if one were already under the notion that The Boring Company is fraudulent, because Elon Musk.
The Boring Company is only getting started. The LVCC Loop could also be considered as a proof of concept, and it will be expanded to other areas in Las Vegas. Improvements to the LVCC Loop, such as the deployment of more Teslas and the use of Autopilot, could also be implemented quickly. Similar tunnels could be built in Florida soon as well. And once Prufrock is deployed, and once other low-cost tunnels are constructed at speeds that have never been seen before, The Boring Company’s skeptics might very well find themselves in the same boat as those who were absolutely certain that orbital rockets could not land on an autonomous barge, or that electric vehicles are simply not feasible.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
