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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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Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
