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According to on-chain analyst Ai Yi's monitoring, a certain address has accumulated 6,000 ETH since August 17, with a cost price range of $1,894 to $2,505. It currently holds ETH worth $14.56 million, with an average purchase price of $2,427.29, resulting in an unrealized profit of $130,000. The most recent increase in holdings occurred 3 hours ago.

CryptoQuant analyst Axel Adler Jr. stated that the on-chain capital flow of Bitcoin showed directional improvement in the second half of August. The realized market cap relative net position change rose to +0.1% on August 24, marking the first positive shift since May 28, and has further increased to +0.21% as of today, indicating that the nearly three-month net capital outflow status has ended.Meanwhile, the 30-day apparent demand/new supply ratio for Bitcoin has been above 1 for six consecutive days, with the latest figure at 2.52, meaning the 30-day apparent demand is approximately 2.5 times the new BTC issuance during the same period. This indicator had dropped to -6.93 on August 2 and briefly rose to 3.16 on August 21. However, the absolute strength of both indicators remains relatively low. Since 2024, the median for periods of positive realized market cap has been +3.24%, while the current +0.21% is only at the lowest 3%-4% of positive samples; the historical median for the apparent demand ratio above 1 is 7.65, and the current 2.52 is also at the lowest 10%. It is believed that the more important signal currently is that the direction of capital flow has shifted from outflow to slight inflow, and demand has once again exceeded new supply, but a strong new demand cycle cannot yet be confirmed. Future observations are needed to see if the realized market cap can remain positive and if the apparent demand can further expand.

NVIDIA will announce its second-quarter financial report after the U.S. stock market closes on Wednesday, with market focus mainly on five aspects: AI infrastructure financing, progress on Vera Rubin servers, open model layout, sales in China, and gross margin pressure. NVIDIA recently announced a large-scale AI infrastructure financing plan and is supporting a major data center project in southern Ohio. Investors are beginning to pay attention to the company's depth of participation in related transactions and how these financing arrangements will ultimately yield returns.In terms of products, NVIDIA stated that the next-generation Vera Rubin servers are expected to start shipping in the third or fourth quarter of this year. Previously, Blackwell was delayed for several months due to design flaws, so whether Vera Rubin can proceed as planned will be an important observation point. Meanwhile, NVIDIA is reportedly acquiring technology and engineering talent from the open-weight AI model startup Poolside through a $6 billion authorization agreement to accelerate its own Nemotron open model development.Additionally, the market will also focus on NVIDIA's sales performance in the Chinese market. Regarding gross margins, the company currently maintains a high level of about 75%, but as memory prices rise and competition for custom chips and new processors intensifies, NVIDIA may face increasing difficulty in passing costs onto customers.

In the latest podcast, SemiAnalysis founder Dylan Patel predicts that by 2028, OpenAI and Anthropic may account for 70% to 80% of the world's new AI computing power, with the total computing power scale potentially exceeding 100GW. Patel stated that the two companies currently account for about 30% of the world's annual new computing power, and this proportion is still rising rapidly.Patel pointed out that the business model of leading AI laboratories is changing, with a significant increase in the efficiency of AI computing power output. Currently, Anthropic's revenue per megawatt of computing power has reached about $50 million and may further rise to $100 million. This allows OpenAI and Anthropic to procure or lease computing power at high prices ranging from $25 million to $50 million per megawatt.Patel expects that global AI-related capital expenditures will reach about $11 trillion from 2024 to 2029, with over $5 trillion needing to be financed through debt. Due to the potential return on investment of AI infrastructure being far higher than that of traditional industries, tech giants may accept higher financing costs, thereby pushing up overall credit rates and squeezing the valuations of traditional assets and highly leveraged economies. Additionally, Patel believes that the new computing power may not primarily be used for providing model inference services externally, but may instead flow more towards internal research and development and self-improvement of models within AI laboratories.

According to monitoring by lookonchain, the trader 0xD81a, who previously incurred a cumulative loss of about 12 million dollars by buying high and selling low on ETH, has re-entered the market after nearly 6 months of silence, spending approximately 5.33 million dollars to buy 2,165 ETH, with an average purchase price of about 2,463 dollars.It is worth noting that in the trader's last transaction, they sold ETH at an average price of about 2,452 dollars, but now they are buying back at a higher price, resulting in a "sell low, buy high" operation.

According to monitoring by Lookonchain, the trader 0x13da, with a 100% win rate in SOL trades, is going long on SOL again.This trader previously completed 3 long trades on SOL, all of which were profitable, with a total profit of 1.23 million dollars. Currently, they are going long on 143,890 SOL with 3x leverage, worth approximately 14 million dollars.

Alloco was founded by a team with a quantitative background, and the core team has over $1 billion in institutional asset management experience. The platform packages institutional-level trading strategies into on-chain fund products, covering hedge fund strategies, thematic asset baskets, and tokenized Pre-IPO products, with the first batch of products set to launch soon.This round of funding will be used for product development, compliance framework construction, and market expansion.

On August 25, Robinhood Chain's RWA daily on-chain trading volume reached $85.1 million, setting a new historical high. Among them, the trading volume of tokenized stocks was about $66.6 million, accounting for approximately 78% of the total trading volume for the day; Meme coin and stock token trading pairs accounted for about $10.4 million, ETF and U.S. Treasury-related trades accounted for about $4.8 million, and commodities accounted for about $3.3 million.Data shows that the trading structure of Robinhood Chain has changed significantly recently. On July 26, Meme coin and stock token trading pairs once contributed about 73% of the daily trading volume, but by August 25, this had dropped to about 12%, while the proportion of pure stock token trading rose to about 78%. In addition, Robinhood Crypto added 100 stock tokens this month, bringing the total number of on-chain stock tokens to over 190.

According to Chao Xiang Research, a Morgan Stanley report points out that the total off-balance-sheet commitments disclosed by hyperscale vendors, Nvidia, and Broadcom have exceeded $3.1 trillion. Among them, lease commitments amount to $1.1 trillion, procurement commitments to $1.7 trillion, and the total on-balance-sheet debt and lease liabilities of hyperscale vendors is $770 billion.Amazon and Google's free cash flow turned negative in the second quarter of 2026, and Meta is expected to follow suit next quarter. Financing tools are restructuring the capital structure of AI computing power from six aspects: off-balance-sheet lease and procurement commitments constitute the first layer of financing, the proportion of debt issuance rises from 2% in 2025 to 19% in 2026, Google frees up $110 billion by cutting buybacks and issuing equity, Oracle's customer prepayments in the second quarter amount to $4.6 billion, and Broadcom and Nvidia launched a chip leasing SPV to support unrated AI labs.Morgan Stanley believes that as the financing structure itself becomes a core variable of the AI supply chain, the importance of tracking off-balance-sheet commitments and changes in accounting judgments is approaching that of tracking chip shipments themselves.

Binance Alpha will launch Teller (DEBIT) on August 26 at 18:00. Users with at least 240 Binance Alpha points can claim 50 DEBIT tokens airdrop on a first-come, first-served basis.If the reward pool is not fully distributed, the points threshold will automatically decrease by 5 points every 5 minutes. Claiming the airdrop will consume 15 Alpha points.

Sources from relevant personnel at Zhongke Shuguang reveal that the company will launch a new generation of token acceleration solutions aimed at large model inference, focusing on addressing issues of redundant computation and data scheduling during the inference process.Currently, Zhongke Shuguang's ParaStor distributed storage has been applied to the country's first fully domestically produced 100,000-card AI supercluster Shuguang 8000 (Dengfeng), providing data throughput and elastic scaling support for large-scale computing tasks. The latest report from CCID Consulting shows that Zhongke Shuguang ranks first in four sub-industries: AI, education, embodied intelligence, and autonomous driving.

Tencent Group Senior Executive Vice President, CEO of Cloud and Smart Industries Group, Tang Daosheng, published an article in Tencent's internal publication, responding to external doubts about "Tencent being slow in AI." He stated that it is impossible to be completely untroubled; the Hunyuan large model has undergone multiple reconstructions, and Hunyuan Hy3 has shown outstanding performance among large models with equivalent parameters. However, due to the company's overall lack of computing power, the training of models and product development has been significantly slowed down, resulting in a considerable impact.Tang Daosheng mentioned that waking up early may not be the most critical factor; the second half of AI has just begun, and enduring longer provides the opportunity to seize the continuously emerging new opportunities.

According to Bitcoin.com, Tomáš Jiříkovský, the main suspect and programmer in a major cryptocurrency money laundering case in the Czech Republic, has sent signals that he may cooperate with the police investigation after the latest detention hearing at the Brno city court. The prosecution stated that he has not yet provided detailed testimony but has changed his previous stance of complete non-cooperation.Jiříkovský is accused of operating a dark web platform and laundering criminal proceeds, with the prosecution seeking a maximum sentence of 20 years in prison and asset forfeiture. The court decided to continue his detention on the grounds of flight risk and the possibility that he may still control some undisclosed involved cryptocurrency assets. The core of the case revolves around a donation of approximately $44 million in Bitcoin that he provided to the Czech Ministry of Justice: he had proposed to give 30% of a seized cryptocurrency wallet to the government in exchange for assistance in unlocking the wallet.

AI Economic Settlement Agreement AEON disclosed that since its launch of the x402 AI payment architecture on the BNB Chain, it has processed over 1.4 million x402 transactions on the BNB Chain, with a total settlement amount exceeding 14.73 million USD. This agreement mainly supports AI Agents in autonomously completing instant verification and settlement of on-chain assets. Relevant transaction data is currently open for real-time tracking on BNB x402scan (https://bnbscan.ai/).

On August 26, B.AI announced that the API is fully compatible with the OpenAI Responses API. Developers only need to configure the Base URL using the B.AI API Key to directly call the GPT series models supported by B.AI in the Codex development environment, seamlessly integrating cutting-edge large model capabilities into their daily coding workflow. This means that whether it's code generation, logical understanding, intelligent debugging, architectural refactoring, or team development collaboration, developers can obtain real-time intelligent assistance from the GPT series models in the Codex environment, comprehensively covering various scenario needs from individual development to team collaboration. Experience it now: http://b.ai

According to Bitcoin.com, blockchain analysis company Chainalysis announced the results of "Operation Lighthouse": this multinational operation focused on networks related to Child Sexual Abuse Material (CSAM) crimes, investigating 29,120 cryptocurrency addresses and digital identifiers, covering over 100 surface web and dark web platforms, forums, and distribution networks, generating 14,300 investigative leads, and identifying over 7,700 suspicious accounts and associated suspects across 125 countries.The operation was organized by the National Cyber-Forensics and Training Alliance in New York, involving at least 9 law enforcement agencies, more than 13 private entities and non-profit organizations, including Europol, the Australian Federal Police, the Royal Canadian Mounted Police, and the National Crime Agency of the UK. Chainalysis stated that the related leads may subsequently result in account restrictions, arrests, and prosecutions, with law enforcement outcomes expected to continue until 2027, and plans to expand this collaborative model to other cryptocurrency crime activities.

According to a report by Reuters, AI data center power infrastructure company Emerald AI announced the completion of a $150 million Series A funding round, with the company's valuation reaching $1.05 billion. This round of financing was co-led by Energize Capital and DCVC, and to date, its total financing has exceeded $220 million.Emerald AI is committed to transforming AI data centers into flexible grid resources, addressing one of the biggest bottlenecks facing AI development, which is the power supply issue. The new funds will be used to expand global commercial deployments with AI companies, data center operators, and power companies.