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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.Â
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.”Â
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.Â
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.Â
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.Â
Kylie Jenner showing off The Boring Company tunnel in Las Vegas đź‘€
🔥 @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.Â
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.Â
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.Â
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.Â
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SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
Elon Musk dubs the S&P 500 ESG as “outrageous scam” after Tesla gets booted from index
SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
SpaceX confirms third massive compute deal at Colossus data center
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
