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Musk’s Boring Co reveals plan to support Hyperloop in published FAQ

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Elon Musk’s plan to integrate Tesla electric sleds traveling through underground tunnels dug by The Boring Company will also include support for vacuum-sealed tunnels used by 600+ mph Hyperloop Pods.

The reveal comes from the company’s newly published Frequently Asked Questions page that does away with introductions and cuts straight to the chase.

“A large network of road tunnels many levels deep would fix congestion in any city, no matter how large it grew (just keep adding levels). The key to making this work is increasing tunneling speed and dropping costs by a factor of 10 or more – this is the goal of The Boring Company. Fast to dig, low cost tunnels would also make Hyperloop adoption viable and enable rapid transit across densely populated regions, enabling travel from New York to Washington DC in less than 30 minutes.” reads the FAQ.

The company isn’t even traveling at a snail’s pace, yet it has big plans to do just that – dig tunnels faster than a snail travels. In this case, resident snail Gary (who lives in a pineapple under the sea) can move at 14 times the speed of a Tunnel Boring Machine (TBM) and represents the target speed for the company’s boring machines.

The Boring Company’s pet snail named Gary

The Framework for Hyperloop

The FAQ sheet broke news that Musk and the team at The Boring Company, in cooperation with Tesla, are planning to build tunnels that can support multi-payloads including that of a Hyperloop Pod. In addition to enabling travel and transport at much higher speeds, this addition is likely to set the Tesla electric sled platform as the standard track that will be used to support mobility of the Hyperloop Pod.

Certain segments of the underground tunnels will have a vacuum shell, if not the entire track, that will allow the tunnel to be held at vacuum. Long distance travel would likely be performed in tunnels held at vacuum, enabling for higher speeds of travel. This format of local versus long distance is the same used by train systems in Europe that have different trains and tracks depending on train speed and distance of travel.

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Converts Internal Combustion Vehicles into EVs

Another upside of the system is that it enables the conversion of internal combustion vehicles into zero emission vehicles. When a traditional petroleum powered vehicle is moved onto an electric sled, it will be moved through a system that emits zero emissions. This eliminates the emissions these vehicles would have emitted if they would had ordinarily travelled by road to their destination.

Many people will take Hyperloop Pods to their destinations due to the lower cost of travel. Logistics companies will also shift payload transportation to the tunnel system due to the lower cost as a result of not having a driver, higher speed and automated control over the load. With all of this traffic moving to the conceptual tunnel-based transportation system, it has the potential to radically slash the amount of transportation related emissions and demand for fossil fuels.

If the petroleum industry wasn’t paying attention to Musk and the impact Tesla may have on automotive related fuel consumption, this announcement is surely the wake up call they needed.

Earthquake!

Hollywood thrillers over the years have cast subway systems as the perfect set for apocalyptic thrillers where only a muscular hero armed with backpack full of lithium ion batteries, a stick of bubblegum and the copper from the wiring for the lights can save the day.

The truth, it turns out, is much different. The FAQs relay the facts that structural engineers have know for ages – that properly designed tunnels are one of the safest places to be during an earthquake. The tunnels is not subject to surface forces and instead of resisting the movement of the earthquake, moves with the ground.

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Dirty Business

When tunneling in the Minecraft video game, the tunnel materializes and the blocks smashed with a pickaxe or sword simply disappear or move into inventory. The real world is unfortunately not so simple, but The Boring Company has plans to make it just a bit more like Minecraft.

Two major challenges with traditional tunneling are the massive amount of earth being displaced by the tunnel and the equally as challenging amount of concrete that is required to seal the circumference of the tunnel. To solve these challenges together, The Boring Company hopes to develop a process for using the resulting soil to produce earthen bricks. These bricks could even be used as a component of the tunnel lining itself or simply sold as a product.

This is yet another piece of evidence that Tesla truly is attempting to create Minecraft in the real world, reviving the ancient practice of crafting bricks from dirt.

In addition to turning a liability into an asset, this has the potential to drastically cut the amount of concrete used in the production of the tunnels it is constructing. Because of the sheer mass of concrete and the effort required to extract its components, and ship them to the destination, concrete production accounts for a staggering 4.5% of the world’s greenhouse gas emissions. The Boring Company hopes to take a chunk out of those emissions by using bricks where possible in the construction of its tunnels.

Where The Boring Company will go from here is anyone’s guess but this latest update makes it clear that Musk is never willing to settle for the status quo, and always begins working from the ground up – or in this case, from the ground down – when moving into a new business.

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I'm passionate about clean technology, sustainability and life. I've worked in manufacturing, IT, project management and environmental...and enjoy unpacking complex topics in layman's terms. TSLA investor. Find more of my words on my website or follow me on Twitter for all the latest. Tesla Referral link: http://ts.la/kyle623

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

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Credit: xAI/X

xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters. 

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

xAI’s turbine deal details

News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.

As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X. 

xAI’s ambitions 

Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”

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The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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xAI-supercomputer-memphis-environment-pushback
Credit: xAI

xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. 

xAI announced the investment round in a post on its official website. 

A $20 billion Series E round

As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. 

Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”

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xAI’s core mission

Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.

xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5. 

“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote. 

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