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Ethereum uses less power than British Museum – Here’s what changed

Ethereum's transition from Proof-of-Work (PoW) to Proof-of-Stake (PoS) in "The Merge" has drastically reduced its energy consumption. The network now uses approximately 7.87 GWh of electricity annually, less than half the British Museum's usage, marking a reduction of over 99.9% from pre-Merge levels. This has also cut its carbon footprint by 99.98% to an estimated 2.37 kilotonnes of CO2 equivalent per year, comparable to the emissions of about 900 UK households. The Cambridge Centre for Alternative Finance (CCAF) reports that Ethereum's infrastructure remains decentralized, though geographically concentrated, with 62% of nodes hosted in the US, Germany, Finland, and France. About 56.4% of its electricity comes from sustainable sources, primarily nuclear and renewables, exceeding the global average. Future developments like stateless verification may further reduce energy needs. Meanwhile, Ethereum's development enters a new phase with "Lean Ethereum," a multi-year overhaul plan for the network's evolution. At the time of reporting, ETH's price saw a slight increase, trading near $1,800.

ambcryptoHace 11 hora(s)

Ethereum uses less power than British Museum – Here’s what changed

ambcryptoHace 11 hora(s)

Anthropic Drops $19 Billion to 'Sponsor' a Bitcoin Miner

On July 6, 2026, Bitcoin mining company TeraWulf (NASDAQ: WULF) saw its stock surge 15% pre-market following the announcement of a landmark 20-year agreement with AI giant Anthropic. The deal grants Anthropic 401 MW of IT load capacity at TeraWulf's "Justified Data" campus in Kentucky and is projected to generate approximately $19 billion in contracted revenue for the miner over its duration. On the same day, TeraWulf also sold its 50.1% stake in a Texas joint venture for about $530 million. This dual move signals a strategic pivot: divesting non-core assets to fund its fully-owned Kentucky project and shifting focus from cryptocurrency mining to becoming a specialized infrastructure provider for AI. The agreement highlights a key advantage for Bitcoin miners transitioning to AI: their pre-existing access to land and critical power grid capacity, which is becoming a major bottleneck for data center expansion. Unlike peers who operate AI clouds, TeraWulf is adopting a "landlord" model, leasing only the physical space and power for clients' own servers. However, a significant gap exists between the deal's announcement and revenue generation, with the first phase of the Kentucky site not operational until late 2027. The $19 billion figure represents a long-term bet on both TeraWulf's execution and Anthropic's financial durability in the capital-intensive AI race. The market's positive reaction reflects the growing value of fundamental infrastructure—secured land and reliable electricity—in the era of AI compute scarcity.

marsbit07/08 03:56

Anthropic Drops $19 Billion to 'Sponsor' a Bitcoin Miner

marsbit07/08 03:56

In the AI Era, What's Left for Bitcoin?

As Bitcoin falls below $60,000, the author reflects on the relationship between AI and Bitcoin, seeing them as two sides of the same coin. In the AI era, the cost of generating content has plummeted, making fake text, images, and videos increasingly easy and cheap to produce. This has led to a fundamental shift: while AI dramatically lowers the cost of information production, it also undermines trust and authenticity online. What becomes truly valuable is not more content, but the ability to verify what is real—"verifiability." This perspective offers a new lens for Bitcoin. Its massive energy consumption, often criticized as wasteful, is reinterpreted. While AI burns energy to enhance "capability" and efficiency, Bitcoin burns energy to produce "verifiability." Its purpose is not to be trusted but to enable a system where no trust in intermediaries—banks, platforms, or developers—is needed. Every transaction and the entire ledger's history is secured by cryptography and a decentralized network of nodes, making it independently verifiable. AI cannot forge a transaction on the Bitcoin network because the system is designed for proof, not generation. The author draws a historical parallel to the Renaissance: the printing press drastically reduced the cost of copying knowledge, while double-entry bookkeeping reduced the cost of trust in commerce. Today, AI is the new printing press, reducing content creation costs to near zero. Blockchain, and Bitcoin as its pioneer, may be the modern equivalent of double-entry bookkeeping—a foundational technology for verifying digital asset ownership and historical records without centralized authorities. Thus, AI and blockchain are not competitors. AI lowers the cost of creation; blockchain lowers the cost of verification. In an age where AI can generate anything, true scarcity may lie not in more content, but in independently verifiable facts. Whether the market will reprice Bitcoin accordingly remains uncertain, but its core value proposition as a "machine for producing verifiability" becomes strikingly relevant.

marsbit06/30 15:57

In the AI Era, What's Left for Bitcoin?

marsbit06/30 15:57

The First Large-Scale Generative Model Using Physics as a Computational Primitive, Un-0, is Here: Could AI Energy Consumption Be Reduced by 1000x?

Unconventional AI has unveiled Un-0, a large-scale image generation model that uses the physical dynamics of coupled oscillators as its computational primitive. Described as the "first to use physics as a computation primitive for large-scale generative models," Un-0 aims to demonstrate a path toward dramatically reducing AI's energy consumption—potentially by up to 1000x compared to current GPU-based digital systems. The model operates by training a system of thousands of Kuramoto-like oscillators, where learned coupling strengths and natural frequencies define its behavior. Starting from random phases, the system evolves under its physical dynamics, guided by class-conditioning inputs, and a small traditional decoder then renders the final image. On ImageNet 64x64, Un-0 achieved an FID score of 6.74, performance comparable to early traditional generative models, though not yet state-of-the-art. The project, led by former Databricks AI chief Naveen Rao, represents a foundational step in using physical systems for computation, merging memory and processing in a single dynamic entity to bypass the energy-intensive data movement of von Neumann architectures.

marsbit06/26 10:54

The First Large-Scale Generative Model Using Physics as a Computational Primitive, Un-0, is Here: Could AI Energy Consumption Be Reduced by 1000x?

marsbit06/26 10:54

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

AI investor Leopold Aschenbrenner has made a significant portfolio shift, taking a $9 billion nominal short position against top AI infrastructure stocks like NVIDIA, ASML, and Oracle. Simultaneously, he is redirecting capital towards what he sees as the next critical bottlenecks in the AI boom: power, memory, and data center networking, alongside private investments in AI model companies like Anthropic. This move is interpreted not as a call that the AI bubble has burst, but as a rotation within the infrastructure stack. The analysis highlights NVIDIA's recent $25 billion bond issuance as a potential signal, questioning why a cash-rich company would seek external debt despite high profits and increased dividends/buybacks. The core investment thesis is that the initial, crowded "picks and shovels" trade in semiconductors is maturing. The next wave of capital is expected to flow into the physical and logistical constraints of AI expansion: electricity supply, memory chip capacity, data center construction, and enabling technologies like optical networking (fiber) for high-bandwidth communication, where copper remains crucial for short distances. Aschenbrenner's substantial (approx. 20% of fund) private stake in Anthropic is noted as a key part of his strategy—investing directly in the "mine" (AI models) rather than just the "shovels." The discussion concludes that while certain segments may be overvalued, the overarching AI infrastructure demand driven by real product usage remains robust. The most promising long-term investments are seen in essential, non-sexy infrastructure—particularly energy and power companies—whose demand is viewed as a global constant irrespective of AI's cyclicality.

marsbit06/20 03:07

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

marsbit06/20 03:07

Hormuz Strait Reopening: Will the Fed Turn "Dovish" and the Market Reprice "Rate Cuts"?

The article outlines two key factors that may lead the U.S. Federal Reserve, under Chair Wash, to adopt a more dovish stance at the upcoming FOMC meeting. First, the anticipated reopening of the Strait of Hormuz is expected to ease oil and energy prices, thereby reducing upward inflationary pressures. This shift could lead the Fed to view energy prices as a neutral or even deflationary factor. Second, recent core CPI data showed significant cooling, with a monthly increase of only 0.21%, contrasting with the still-strong core PCE. This divergence supports a dovish interpretation. Market implications are significant. While the FOMC is expected to remove "easing bias" language and project unchanged rates for the year—moves already priced in—Chair Wash's potential for more dovish commentary presents an upside risk. Consequently, there is room for the market to further price out remaining hike expectations and increase expectations for rate cuts. The report notes that the 2-year Treasury yield, though down recently, remains well above February levels, indicating further potential downside as inflation risks fade.

marsbit06/16 03:04

Hormuz Strait Reopening: Will the Fed Turn "Dovish" and the Market Reprice "Rate Cuts"?

marsbit06/16 03:04

Supply Chain, Energy, and Bloc Formation: Untangling the Core Threads of 2026 AI Investment

The core thesis for 2026 investment is a shift from traditional growth-inflation analysis towards a geopolitical framework of strategic blocs, supply chain reconfiguration, and capital expenditure (capex) direction. The US is moving from a global guarantor role towards a more bounded "camp system," reshaping trade, security, and technology flows. Key investment themes emerge from this realignment: production-capable US-aligned economies (e.g., Japan, South Korea), regional security focusing on Latin America, and the hard constraint of energy/grid capacity enabling reshoring. Europe's strength lies not in macro growth but in its high-quality "pick-and-shovel" industrial, electrical, and automation exporters serving the global capex cycle. AI remains the central US-China strategic battleground, driving massive investment in compute, power, and manufacturing stacks, with robotics gaining prominence. The investment implication is a rotation away from crowded US mega-cap tech momentum toward global beneficiaries of this restructuring: electrification equipment, industrial automation, energy storage, grid infrastructure, and select non-US markets. 2026 will be defined by investment intensity driven by geopolitical repositioning, not near-term commercial maturity.

marsbit06/15 11:20

Supply Chain, Energy, and Bloc Formation: Untangling the Core Threads of 2026 AI Investment

marsbit06/15 11:20

Three-Year High Smashes Rate-Cut Hopes, Who's Using CPI to Clean Out Whale Holdings?

U.S. CPI inflation accelerated to 4.2% year-over-year in May, reaching a three-year high and dampening market expectations for Federal Reserve rate cuts in 2026. The surge was primarily driven by a sharp 23.5% annual increase in energy prices, fueled by geopolitical conflicts. While core CPI rose 2.9% year-over-year, showing relative moderation, the hotter-than-expected headline data prompted a repricing in interest rate markets. Traders now overwhelmingly expect the Fed to hold rates steady, with some even pricing in potential rate hikes for late 2026 or 2027. The report triggered declines in major U.S. stock indices and pressured risk assets like Bitcoin, which remained volatile around $61,000-$62,000. Analysts note that while the energy-driven inflation spike is concerning, the controlled core figures provide the Fed room for patience. However, the "higher for longer" interest rate narrative has solidified. For crypto markets, this translates to continued outflows from Bitcoin ETFs, heightened volatility, and a market seemingly in a "capitulation" phase, with leverage reset but sustained demand yet to materialize.

Foresight News06/11 03:14

Three-Year High Smashes Rate-Cut Hopes, Who's Using CPI to Clean Out Whale Holdings?

Foresight News06/11 03:14

US CPI Preview: Overall Inflation May Break Through 4% to Hit a Three-Year High, While Core Inflation Could Be Significantly Below Expectations

US CPI Preview: Headline Inflation May Top 4%, Hitting Three-Year High, Core Could Fall Short of Expectations. Wall Street's major institutions (Goldman Sachs, UBS, Deutsche Bank, Morgan Stanley) anticipate May's headline CPI year-over-year to rise sharply to the 4.17%-4.3% range from April's 3.81%, largely driven by a significant jump in energy prices due to recent geopolitical tensions. This could mark the highest level since April 2023. In contrast, core CPI (excluding food and energy) is forecast to increase only 0.17%-0.22% month-over-month, notably below the market consensus of 0.27%-0.30%. Key moderating factors include cooling shelter inflation (OER and rent) and weaker auto insurance prices, while used car prices are expected to be flat. However, upward pressures persist within core components. Airfare, IT goods, and some non-shelter services are expected to show strength, partially offsetting the cooling trends. This divergence makes the report complex for markets: high headline inflation from transient energy shocks versus a potentially softer underlying core trend. Market pricing via inflation swaps suggests a slightly higher-than-expected headline print, historically associated with a modest dollar rally post-release. Looking ahead, the trajectory for inflation remains highly dependent on future oil price movements.

marsbit06/10 10:15

US CPI Preview: Overall Inflation May Break Through 4% to Hit a Three-Year High, While Core Inflation Could Be Significantly Below Expectations

marsbit06/10 10:15

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Arthur Hayes argues that the current AI market is a bubble poised to burst, which will exert downward pressure on the crypto market in the near term. The core trigger is rising oil prices due to the US-Iran conflict and a blockade of the Strait of Hormuz. Higher energy costs directly increase the operational expenses of AI data centers, squeezing profit margins for companies like Google, Anthropic, and OpenAI. Hayes predicts that persistent inflation from high oil prices will force Trump, in a bid to win the November election, to turn public sentiment against the AI industry. He may propose regulations and taxes on data centers and AI companies to appeal to voters concerned about costs and job displacement. Such political rhetoric could shatter market confidence. Furthermore, the market is unlikely to healthily absorb the massive concurrent IPOs of SpaceX, Anthropic, and OpenAI, which together seek valuations in the trillions. The combination of soaring energy costs, overwhelming equity supply, and negative political pressure will puncture the AI bubble. Hayes notes that nearly all new USD liquidity since 2022 has flowed into AI, leaving crypto like Bitcoin behind. When the AI bubble bursts, liquidity will contract sharply, pulling down all risk assets, including cryptocurrencies. In response, Hayes's fund, Maelstrom, has sold all AI-related stocks and non-core cryptocurrencies. It maintains core positions in Bitcoin and Ethereum while increasing exposure to energy sector equities, betting on rising oil and gas prices. He expects Bitcoin to bottom after the AI-led market decline, before rallying again with future monetary easing.

Foresight News06/09 06:17

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Foresight News06/09 06:17

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