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21 Feb 2026, 23:10

Bitcoin’s Sharpe Ratio Hits Historic Low as Market Faces Intense Sell Pressure

Bitcoin’s short-term Sharpe ratio has dropped to historic lows, reflecting intense selling pressure. Similar sharp declines in the past have preceded sustained bull markets and strong recoveries. Continue Reading: Bitcoin’s Sharpe Ratio Hits Historic Low as Market Faces Intense Sell Pressure The post Bitcoin’s Sharpe Ratio Hits Historic Low as Market Faces Intense Sell Pressure appeared first on COINTURK NEWS .

21 Feb 2026, 23:00

Polymarket Faces New Roadblock As Dutch Regulator Bans Prediction Activity — Details

According to recent reports, the Dutch arm of the prediction markets platform Polymarket has been asked to cease its activities in the Netherlands. This order comes as the latest regulatory blow dealt to the prediction market platform in recent weeks. Dutch Regulator Threatens Polymarket With $840,000 Fine In a notice dated Tuesday, February 17, the Netherlands Gambling Authority ordered Polymarket’s Dutch arm, Adventure One, to “cease its activities immediately” or risk incurring up to $840,000 in fines per week. According to the Dutch regulator, Adventure One offered illegal bets, including on the local elections, to residents without a license. While prediction markets do not particularly fall into the traditional gambling category, the Netherlands Gambling Authority has classified them as betting. The regulator revealed that it contacted Polymarket about its activities on the Dutch market, but have seen no corrective action or response from the prediction markets company. Netherlands Gambling Authority’s director of licensing and supervision, Ella Seijsener, said in the notice: Prediction markets are on the rise, including in the Netherlands. These types of companies offer bets that are not permitted in our market under any circumstances, not even by license holders. Besides the social risks of these kinds of predictions (for example, the potential influence on elections), we conclude that this constitutes illegal gambling. Anyone without a Ksa license has no business in our market. This also applies to these new gambling platforms. This restriction in the Netherlands marks the latest stumbling block for Polymarket in terms of regulation over the past few months. Despite receiving approvals from the United States Commodity Futures Trading Commission (CFTC), individual state authorities have placed significant scrutiny on the activities of prediction market platforms . This has led to an issue of jurisdiction, as the CFTC chair criticized the state-level scrutiny which undermines their federal authority over prediction markets. Dutch Unrealized Gains Tax On Crypto Rolls On This crackdown on prediction markets comes just a week after the Dutch House of Representatives advanced a proposal to introduce a 36% capital gains tax on most liquid investments, including cryptocurrencies. This controversial bill, if passed, would see profits made from interest-bearing financial instruments, equity investments, cryptocurrencies, and savings accounts be subject to tax, whether realized or not. The proposal of this capital gains tax led to interesting reactions, with several crypto analysts noting that the legislation will drive investors out of the Netherlands. “To be honest, the fact that there’s the unrealized gains tax for Bitcoin in the Netherlands is the dumbest thing I’ve seen in a long time. The amount of people willing to flee the country is going to be bananas,” analyst Michaël van de Poppe said on X.

21 Feb 2026, 22:25

Crypto skeptic Roubini calls GENIUS Act “reckless,” says stablecoins could trigger runs

Nouriel Roubini is warning again, and this time he is pointing straight at the GENIUS Act while Bitcoin sinks deeper into its slump. He said the token is not an inflation hedge and called it a “pseudo-asset class.” Bitcoin traded around 67,400 dollars on Wednesday, down 45 percent from its late-October high. He wrote, “Calling Bitcoin or any other crypto vehicle a ‘currency’ has always been bogus. Roubini also said Bitcoin has been tied to “the mother of all bubbles” and a “Ponzi Game.” Nouriel pointed to its use in illegal transactions and said crypto can put the financial system in danger as lawmakers push it into banks. He mocked the GENIUS Act and said the bill should be called the “Reckless Idiot Act.” The part that bothered Nouriel most is the lack of lender-of-last-resort support and no deposit insurance for stablecoins. He warned that some industry voices want interest paid on stablecoins, which he said could “undermine the foundations of the banking system.” Market losses hit Bitcoin as investors pull back The world’s biggest token has dropped more than 40 percent from its peak. Dip buyers are missing. Usual support is gone. Gold is winning the hedge fight. Stablecoins are beating Bitcoin in payments. Prediction markets are taking over speculation. None of this happened because regulators crushed it. Washington has been friendly. Big firms have joined in. Wall Street has treated it like a real asset. Bitcoin got everything it wanted but the price still fell. Robert Kiyosaki said, “Although Bitcoin is crashing I bought one more whole Bitcoin for 67k. Why? Two reasons: #1: Because the Big Print will begin when the US debt crashes the dollar and ‘The Marxist Fed’ begins printing trillions in fake dollars. #2: The magical 21 millionth Bitcoin is getting close to being mined. When the 21st millionth Bitcoin is mined… Bitcoin becomes better than gold.” His view stands in sharp contrast to Nouriel, but it captures how divided this crypto moment is. Flows move to gold as Bitcoin questions get louder Despite global tension and a weak dollar, gold and silver have jumped while crypto has fallen.US gold ETFs pulled in more than 16 billion dollars in the last three months. Spot Bitcoin ETFs saw about 3.3 billion dollars in outflows. Market cap has dropped by more than 1 trillion dollars.The digital-asset treasury model, once a big selling point, has cracked. Companies like Strategy, MARA, Metaplanet, and GameStop bought Bitcoin, issued shares, and created a loop that boosted their value. That loop has now turned. The biggest DATs have fallen even faster than Bitcoin and many trade below the worth of their own holdings. Sharpen your strategy with mentorship + daily ideas - 30 days free access to our trading program

21 Feb 2026, 22:19

Trump Raised Tariffs to 15%: BTC Resilient

Trump raised global tariffs to 15%, but BTC held resistance at 68K. The market is stable with a slight decline at Total3. ETF inflows remain strong, technically S1 64.5K support. RSI 38, downtrend ...

21 Feb 2026, 22:00

Lighter: How incentive exhaustion cut LIT’s dominance to 8.1%

DeFi perps leadership shifts as Lighter’s speculative volume fades and liquidity redistributes.

21 Feb 2026, 21:55

Sam Altman AI Energy Debate: The Surprising Truth About ChatGPT’s Environmental Footprint

BitcoinWorld Sam Altman AI Energy Debate: The Surprising Truth About ChatGPT’s Environmental Footprint MUMBAI, India – October 2025: OpenAI CEO Sam Altman delivered a provocative defense of artificial intelligence’s environmental impact this week, challenging widespread assumptions about AI energy consumption while calling for accelerated adoption of nuclear and renewable power sources. Speaking at The Indian Express AI Summit, Altman dismissed viral claims about ChatGPT’s water usage as “totally fake” and “completely untrue,” sparking renewed debate about how society measures technological progress against ecological responsibility. Debunking the ChatGPT Water Consumption Myth Altman specifically addressed circulating internet claims suggesting each ChatGPT query consumes approximately 17 gallons of water. He labeled these assertions “totally insane” with “no connection to reality.” The OpenAI executive explained that such figures originated from outdated data center cooling methods no longer in widespread use. Modern facilities employ advanced cooling technologies that dramatically reduce water consumption. However, Altman acknowledged legitimate concerns about AI’s aggregate energy footprint. He emphasized that the real issue involves total energy consumption across global AI systems rather than individual query metrics. The Energy Reality of Modern AI Systems Data centers powering AI systems have become significant electricity consumers. Recent studies indicate AI-related computation could account for 3-5% of global electricity by 2030. Unlike traditional computing, AI requires specialized hardware and continuous operation for both training and inference phases. Training large language models like GPT-4 involves thousands of specialized processors running for months. Inference—the process of generating responses to user queries—requires constant computational resources across global server networks. Despite these demands, efficiency improvements have been substantial. Modern AI chips deliver 10-100 times more computation per watt than those from just five years ago. Comparative Energy Analysis: AI Versus Human Intelligence Altman introduced a novel perspective during his Mumbai presentation. He argued that comparing AI energy consumption to human energy use provides more meaningful context. “It takes like 20 years of life and all of the food you eat during that time before you get smart,” Altman noted. He extended this comparison to humanity’s evolutionary development, suggesting that assessing AI’s efficiency requires considering the complete energy investment in human education and biological development. According to this framework, AI might already demonstrate superior energy efficiency for specific cognitive tasks once initial training costs are amortized across billions of queries. The Renewable Energy Imperative Regardless of efficiency debates, Altman stressed the urgent need for cleaner energy infrastructure. “The world needs to move towards nuclear or wind and solar very quickly,” he declared. This position aligns with growing industry consensus. Major technology companies increasingly power data centers with renewable sources. Microsoft and Google have committed to 100% renewable energy for their cloud operations by 2025. Nuclear energy, particularly next-generation small modular reactors, has gained attention as a potential solution for providing reliable, carbon-free power to energy-intensive computing facilities. Transparency Challenges in Tech Energy Reporting A significant obstacle in assessing AI’s environmental impact involves limited corporate transparency. No legal requirements currently mandate technology companies to disclose detailed energy and water consumption data. Consequently, researchers must rely on estimates and reverse engineering. Independent studies suggest AI model training can consume electricity equivalent to hundreds of homes for a year. However, companies rarely release specific figures, making accurate assessment difficult. This opacity fuels both exaggerated claims and genuine uncertainty about AI’s ecological footprint. The Data Center Electricity Price Connection Beyond environmental concerns, data center expansion affects electricity markets. Regions with concentrated computing infrastructure sometimes experience upward pressure on local electricity prices. This occurs because data centers represent large, consistent electricity demands that can strain grid capacity. Utility companies must invest in additional generation and transmission infrastructure, costs often passed to all consumers. Some municipalities now consider special electricity rates for data centers to mitigate community impacts while encouraging economic development. Historical Context: Evolving Data Center Efficiency Data center energy efficiency has improved dramatically over the past decade. The industry transitioned from traditional evaporative cooling to advanced systems using outside air, liquid cooling, and AI-optimized temperature management. Power usage effectiveness—a metric comparing total facility energy to IT equipment energy—has decreased from averages above 2.0 to approximately 1.2 for state-of-the-art facilities. These improvements mean modern data centers deliver substantially more computation per unit of energy and water than their predecessors. However, absolute consumption continues rising due to exponential growth in computing demand. Expert Perspectives on AI Energy Debates Energy researchers offer nuanced views on AI’s environmental impact. Dr. Emma Strubell, a computer scientist specializing in AI sustainability, notes that while individual query energy might be minimal, aggregate effects matter. “We must consider scale,” she explains. “If ChatGPT serves billions of queries daily, even efficient systems consume significant energy.” Other experts emphasize that AI could indirectly reduce energy consumption by optimizing logistics, transportation, and industrial processes. The net environmental impact thus depends on both direct energy use and efficiency gains enabled by AI applications. The Bill Gates Comparison Clarified During his Mumbai appearance, Altman addressed a specific comparison suggesting a single ChatGPT query uses energy equivalent to 1.5 iPhone battery charges. He dismissed this estimate, stating, “There’s no way it’s anything close to that much.” While precise figures remain undisclosed, available data suggests typical AI queries consume energy comparable to several minutes of smartphone use rather than multiple full charges. This clarification highlights the challenge of communicating technical energy concepts through accessible analogies that sometimes oversimplify complex realities. Future Directions: Sustainable AI Development The technology industry increasingly prioritizes sustainability alongside capability improvements. Research focuses on several approaches: Algorithmic efficiency: Developing AI models that achieve similar performance with fewer computations Hardware specialization: Designing processors optimized specifically for AI workloads Renewable integration: Locating data centers near renewable energy sources Carbon-aware computing: Scheduling intensive computations when renewable generation peaks Lifecycle assessment: Considering environmental impacts across hardware manufacturing, operation, and disposal Conclusion Sam Altman’s Mumbai remarks highlight the complex relationship between artificial intelligence development and environmental sustainability. While dismissing exaggerated claims about AI’s resource consumption, Altman acknowledges legitimate concerns about aggregate energy use. His call for accelerated renewable energy adoption reflects growing industry recognition that technological progress must align with ecological responsibility. The debate continues about appropriate metrics for comparing AI and human efficiency, but consensus emerges around the need for greater transparency, continued efficiency improvements, and cleaner energy infrastructure to support AI’s expanding role in society. FAQs Q1: How much energy does a single ChatGPT query actually use? OpenAI hasn’t released exact figures, but estimates suggest typical queries consume minimal energy—likely equivalent to several minutes of smartphone use rather than the exaggerated claims of 17 gallons of water or multiple device charges. Q2: What did Sam Altman say about AI’s water consumption? Altman called viral claims about ChatGPT’s water usage “totally fake” and explained they’re based on outdated cooling methods. Modern data centers use advanced cooling systems with dramatically reduced water requirements. Q3: Why does Altman compare AI energy use to human energy consumption? He argues this provides fairer context, noting humans require decades of food, education, and evolutionary development. Comparing trained AI systems to educated humans might show AI’s superior energy efficiency for specific tasks. Q4: What energy solutions does Altman recommend for AI development? He advocates rapid adoption of nuclear, wind, and solar power to meet growing AI energy demands sustainably, aligning with broader industry moves toward renewable-powered data centers. Q5: How have data centers improved their energy efficiency? Modern facilities achieve power usage effectiveness ratings around 1.2 (compared to 2.0+ a decade ago) through advanced cooling, AI-optimized management, specialized hardware, and renewable energy integration. This post Sam Altman AI Energy Debate: The Surprising Truth About ChatGPT’s Environmental Footprint first appeared on BitcoinWorld .