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The Boring Company’s skeptics need to calm down about the LVCC Loop

Credit: CNBC Television/YouTube

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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.” 

(Credit: The Boring Company)

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. 

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. 

The Boring Company works on a tunnel boring machine. (Credit: Teslarati)

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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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla confirms that work on Dojo 3 has officially resumed

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.

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(Credit: Tesla)

Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage. 

Tesla CEO Elon Musk confirmed the update in a recent post on X.

Tesla’s Dojo 3 initiative restarted

In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X. 

Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications. 

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Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.

Tesla’s AI roadmap

Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures. 

He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.

Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected. 

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Elon Musk

Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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Elon Musk

Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence

The Tesla CEO shared his recent insights in a post on social media platform X.

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Credit: Tesla

Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk. 

The Tesla CEO shared his recent insights in a post on social media platform X.

Musk details AI chip roadmap

In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle. 

He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.

Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.

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AI5 manufacturing takes shape

Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.

Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.

Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.

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