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The Obscene Energy Demands of A.I.
How can the world reach net zero if it keeps inventing new ways to consume energy?
March 12, 2024
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In 2016, Alex de Vries read somewhere that a single bitcoin transaction consumes as much energy as the average American household uses in a day. At the time, de Vries, who is Dutch, was working at a consulting firm. In his spare time, he wrote a blog, called Digiconomist, about the risks of investing in cryptocurrency. He found the energy-use figure disturbing.

“I was, like, O.K., that’s a massive amount, and why is no one talking about it?” he told me recently over Zoom. “I tried to look up some data, but I couldn’t really find anything.” De Vries, then twenty-seven, decided that he would have to come up with the information himself. He put together what he called the Bitcoin Energy Consumption Index, and posted it on Digiconomist. According to the index’s latest figures, bitcoin mining now consumes a hundred and forty-five billion kilowatt-hours of electricity per year, which is more than is used by the entire nation of the Netherlands, and producing that electricity results in eighty-one million tons of CO2, which is more than the annual emissions of a nation like Morocco. De Vries subsequently began to track the electronic waste produced by bitcoin mining—an iPhone’s worth for every transaction—and its water use—which is something like two trillion liters per year. (The water goes toward cooling the servers used in mining, and the e-waste is produced by servers that have become out of date.)

Last year, de Vries became concerned about another energy hog: A.I. “I saw that it has a similar capability, and also the potential to have a similar growth trajectory in the coming years, and I felt immediately prompted to make sure people are aware that this is also energy-intensive technology,” he explained. He added a new tab to his blog: “AI sustainability.” In a paper he published last fall, in Joule, a journal devoted to sustainable energy, de Vries, who now works for the Netherlands’ central bank, estimated that if Google were to integrate generative A.I. into every search, its electricity use would rise to something like twenty-nine billion kilowatt-hours per year. This is more than is consumed by many countries, including Kenya, Guatemala, and Croatia.

“There’s a fundamental mismatch between this technology and environmental sustainability,” de Vries said. Recently, the world’s most prominent A.I. cheerleader, Sam Altman, the C.E.O. of OpenAI, voiced similar concerns, albeit with a different spin. “I think we still don’t appreciate the energy needs of this technology,” Altman said at a public appearance in Davos. He didn’t see how these needs could be met, he went on, “without a breakthrough.” He added, “We need fusion or we need, like, radically cheaper solar plus storage, or something, at massive scale—like, a scale that no one is really planning for.”

Last week, the International Energy Agency announced that energy-related global CO2 emissions rose, yet again, in 2023, to more than thirty-seven billion metric tons. The increase comes at a time when the whole world is supposedly striving to reach net-zero emissions, and it indicates that global efforts are, to put it mildly, falling short. Much of the increase in emissions came from China, and most of it was driven by century-old technologies, such as the internal-combustion engine. So data centers are, for now at least, a small part of the problem. Still, as the use of A.I. ramps up and bitcoin prices reach new heights, the question is: How can the world reach net zero if it keeps inventing new ways to consume energy? (In the U.S., data centers now account for about four per cent of electricity consumption, and that figure is expected to climb to six per cent by 2026.)

Mining cryptocurrencies like bitcoin eats up electricity owing to the way the system was set up. To acquire bitcoin (and other currencies that rely on a similar scheme), miners compete to answer cryptographic riddles. Winning the competition takes a lot of computing power. As a result, server farms devoted to crypto mining tend to be situated in parts of the world where electricity is cheap. China used to lead the world in crypto mining, but it imposed a ban on the practice in 2021, and now the U.S. is No. 1. A few months ago, the U.S. Department of Energy tried to compel mining concerns to report their energy use, but in February a Texas judge issued a temporary restraining order blocking the effort. (According to the White House Office of Science and Technology Policy, crypto mining in the U.S. uses almost as much energy as all the nation’s home computers combined.) Meanwhile, the higher the price of bitcoin rises—it reached a record of sixty-nine thousand dollars on March 5th—the bigger the financial incentives for mining it, and the more energy consumed.

Artificial intelligence requires a lot of power for much the same reason. The kind of machine learning that produced ChatGPT relies on models that process fantastic amounts of information, and every bit of processing takes energy. When ChatGPT spits out information (or writes someone’s high-school essay), that, too, requires a lot of processing. It’s been estimated that ChatGPT is responding to something like two hundred million requests per day, and, in so doing, is consuming more than half a million kilowatt-hours of electricity. (For comparison’s sake, the average U.S. household consumes twenty-nine kilowatt-hours a day.)

A.I. could potentially be used to alleviate some of the problems it is exacerbating. For instance, it might be used to improve the efficiency of renewable-energy systems, which could reduce emissions from server farms. But it seems unlikely that such gains will keep up with A.I.’s growing electricity demands; this, presumably, is why Altman argues that a technological breakthrough is needed.

De Vries, for his part, is dismayed by what he sees as a lack of human learning in the face of so much machine learning. “I think the only thing that’s realistic in terms of policy, at least in the short to medium term, is disclosure requirements,” he said. “It’s taken a very long time before we got there with regard to cryptocurrencies, and I’m disappointed that we haven’t gotten there sooner with A.I. It’s like we saw what cryptocurrency mining could do, and we totally forgot about it.” 

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🎬Proof the Deep State Planned This War for Years🎬
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~Namasté 🙏 Crypto Michael ⚡ The Dinarian

Dear friend,

What just happened in Iran wasn’t a surprise attack. It wasn’t a last-minute decision. It wasn’t even Israel acting alone.

It was a war plan written years ago — by men in suits, sitting in think tanks in Washington and New York. And yesterday, that plan was finally put into action.

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Israel launched a massive, unexpected strike on Iran. They hit nuclear facilities. They killed military generals. They struck deep inside Iranian territory — and now the whole region is on edge, ready to explode into full-blown war.

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Because we have the documents. They told us this was coming. Years ago.

Exhibit A: The Brookings Institution.

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  • Which Iranian sites to hit (Natanz, Arak, Esfahan).

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Because the documents are real. The war was planned. And the bombs are falling — right on schedule.

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Pray for a President who still wants peace.

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Until next time, God bless you, your family and nation.

Take care,

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Source:

George Christensen is a former Australian politician, a Christian, freedom lover, conservative, blogger, podcaster, journalist and theologian. He has been feted by the Epoch Times as a “champion of human rights” and his writings have been praised by Infowars’ Alex Jones as “excellent and informative”.

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Find more about George at his www.georgechristensen.com.au website.

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The Possible Impact Of USDC On The XRP Ledger And RLUSD
Key Points
  • It seems likely that USDC on the XRP Ledger (XRPL) boosts liquidity, benefiting XRP, though some see it as competition for RLUSD.
  • Research suggests both stablecoins can coexist, enhancing the XRPL ecosystem.
  • The evidence leans toward increased network activity being good for XRP, despite potential competition.

The recent launch of USDC on the XRP Ledger has sparked discussions about its impact on the ecosystem, particularly in relation to RLUSD, Ripple's own stablecoin. This response explores whether this development is more about competition for RLUSD or if it enhances liquidity on the XRPL, ultimately benefiting XRP.
 

Impact on Liquidity and XRP

The introduction of USDC, a major stablecoin with a $61 billion market cap, likely increases liquidity on the XRPL by attracting more users, developers, and institutions. This boost can enhance DeFi applications and enterprise payments, potentially driving demand for XRP, the native token used for transaction fees. While some may view it as competition for RLUSD, the overall effect seems positive for the XRPL's growth.
 

Competition vs. Coexistence with RLUSD

USDC and RLUSD cater to different needs: USDC appeals to those valuing regulatory compliance, while RLUSD, backed by Ripple, may attract users preferring ecosystem integration. Research suggests both can coexist, increasing options and fostering innovation, rather than purely competing.
 

Detailed Analysis of USDC on XRPL and Its Implications

The integration of USDC on the XRP Ledger (XRPL), announced on June 12, 2025, by Circle, has significant implications for the ecosystem, particularly in relation to RLUSD, Ripple's stablecoin launched in 2024. This section provides a comprehensive analysis, exploring whether this development is more about competition for RLUSD or if it enhances liquidity on the XRPL, ultimately benefiting XRP.
 

Understanding RLUSD and Its Role

RLUSD, Ripple's stablecoin, received approval from the New York Department of Financial Services (NYDFS) in 2024 and is designed to be fully backed by cash and cash equivalents, ensuring stability. It is available on both the Ethereum and XRP Ledger blockchains, aiming to enhance liquidity, reduce volatility, and serve cross-border payments. With a current market cap of $413 million, RLUSD is smaller than USDC's $61 billion but has regulatory credibility, particularly appealing to institutions.
 

Impact of USDC on the XRPL

The launch of USDC on the XRPL is a significant development, given its status as the second-largest stablecoin by market cap.
 
Key impacts include:
  • Liquidity Boost: USDC's integration can attract more users, developers, and institutions, increasing overall liquidity. This is crucial for DeFi applications, as Circle's announcement emphasizes its use in liquidity provisioning for token pairs and FX flows.
  • Increased Utility: USDC enhances the XRPL's utility for enterprise payments, financial infrastructure, and DeFi, potentially making it more attractive for global money movement and transparent settlements.
  • Regulatory and Institutional Appeal: As a regulated stablecoin issued by Circle, USDC can bring institutional users to the XRPL, aligning with Ripple's goals for regulated financial activities.
  • Network Growth: Supporting a widely recognized stablecoin like USDC on 22 blockchains, including the XRPL, increases the network's visibility and adoption, potentially driving more activity.

Competition vs. Complementarity with RLUSD

While USDC's launch could be seen as competition for RLUSD, the evidence suggests a more nuanced relationship:
  • Competition: Both are stablecoins on the XRPL, and USDC's larger market presence ($61 billion vs. RLUSD's $413 million) might attract users and developers away from RLUSD. However, competition can drive innovation, such as lower fees or better services, benefiting the ecosystem
  • Complementarity: Different stablecoins cater to different needs. USDC appeals to users valuing regulatory compliance and widespread adoption across multiple blockchains, while RLUSD, backed by Ripple, may attract those preferring ecosystem integration and regulatory approval from NYDFS. The XRPL can benefit from having multiple options, increasing liquidity and fostering a diverse ecosystem.
  • Coexistence Benefits: Research suggests that having multiple stablecoins enhances liquidity and provides users with more choices, potentially leading to higher network activity. For example, institutions might use USDC for global payments and RLUSD for specific XRPL-integrated applications, creating a symbiotic relationships.

Impact on XRP

The introduction of USDC, alongside RLUSD, is likely beneficial for XRP, the native token of the XRPL, for several reasons:
  • Increased Liquidity and Activity: Higher liquidity on the XRPL, driven by both stablecoins, can increase transaction volumes. XRP is used for transaction fees, with some fees burned, potentially reducing supply over time and increasing demand.
  • DeFi and Enterprise Use Cases: Both USDC and RLUSD enhance DeFi and enterprise applications, such as liquidity pools and cross-border payments, which can drive demand for XRP as a settlement token.
  • Network Growth: A more liquid and active XRPL is more attractive to developers and users, potentially leading to long-term growth for XRP, as increased utility can drive its value.
Expert analyses, such as those from u.today and ledgerinsights.com, suggest the launch is a "massive boost" for liquidity and adoption, with RLUSD also playing a significant role.
 

Comparative Analysis: USDC vs. RLUSD

To further illustrate, consider the following table comparing key attributes:
 
Given the evidence, it is more accurate to view the introduction of USDC on the XRPL as beneficial for liquidity, which is ultimately good for XRP, rather than solely as competition for RLUSD. The XRPL benefits from increased options, with both stablecoins enhancing liquidity, utility, and network growth. While some competition exists, the overall impact is positive, fostering a robust ecosystem that can drive demand for XRP. This conclusion aligns with expert analyses and community discussions, acknowledging the complexity of the stablecoin market within the XRPL.
 

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