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According to a report by Cointelegraph, DWF Labs pointed out in a research report released on Thursday that the daily capital flow of the U.S. spot Bitcoin ETF is difficult to predict for Bitcoin's subsequent trends, with investors more inclined to buy after price increases and withdraw during declines.The study covers 694 trading days since the launch of the U.S. Bitcoin spot ETF in January 2024: in 8 instances where the Bitcoin price fell by 15%, there were net outflows of ETF funds in 7 of those cases; while in all 9 instances where the price rose by 15%, there were net inflows of funds.DWF Labs concluded that ETF capital flows are more about confirming market trends rather than predicting them in advance. Data shows that the correlation coefficient of the day's ETF capital flow with the price changes of Bitcoin over the previous 5 trading days is 0.54, but the correlation coefficient with the price changes over the subsequent 5 trading days is only 0.03. From October 2025 to February 2026, the net outflow from Bitcoin ETFs was approximately $6.9 billion, and during the market decline from May to June 2026, the net outflow was about $8.2 billion.DWF Labs also noted that some ETF trades may involve buying fund shares while simultaneously shorting Bitcoin through futures on the Chicago Mercantile Exchange (CME) as a hedging strategy, so the capital flow does not directly reflect investors' true bullish or bearish positions.

According to data from mempool.space, Bitcoin completed its latest mining difficulty adjustment at block height 971712, with the difficulty increased by 5.92% to 140.58T. The previous adjustment was a slight decrease of 0.03% to 132.72T.

Jiang Zhuoer, the founder of the Liebit Mining Pool, stated in a post that he currently believes Bitcoin is very likely to fall below $80,000, but it is very unlikely to drop below $77,000.$77,000 is both the point of control (POC) for the trading volume distribution of the previous fluctuation range and the POC since the rise on August 19, which is the price level with the largest trading volume in the corresponding range. He also believes that the market is very unlikely to drop below $75,000, allowing everyone to buy in at a comfortable position.

Investment bank TD Cowen's Washington research group Managing Director Jaret Seiberg stated in a report released on Monday that the proposed rulemaking advance notice issued by the CFTC last week is a positive step for crypto platforms, but the agency may not complete the rulemaking until early 2028. As the 2028 election cycle approaches, there is a risk that the rule may ultimately not be implemented. Seiberg noted, "Time is running out," and expects that the CFTC will not issue proposals until the end of the first quarter or early second quarter of 2027, with final rules possibly not being finalized until early 2028.Last week, the CFTC proposed a federal regulatory framework for crypto platforms but avoided direct jurisdiction over spot market trading. According to Seiberg, the proposed rules will require platforms to maintain "reserve proof audits" and grant the CFTC jurisdiction over state-licensed platforms. Previously, the U.S. Senate failed to pass legislation that would grant the CFTC broad powers over spot crypto trading in a preliminary vote, leading the CFTC and SEC to intervene in regulating the crypto industry, including the introduction of long-awaited innovation exemptions, but both agencies lack the permanence that legislation could provide.Seiberg also pointed out that if the CFTC decides to expedite the rulemaking process, it may actually increase the risk of court intervention. He stated that speeding up this process would raise the risk of judges blocking the rule on procedural grounds, and even if the agency is cautious enough, legal challenges could extend beyond 2028.

In episode 166 of the BidClub podcast, chip designer Bubble boi stated that high-bandwidth flash is technically attractive but lacks decisive data center use cases. The information he provided indicated that the main customers he heard about are Chinese clients who find it difficult to obtain or produce high-end HBM.Bubble boi mentioned that HBF and high-end AI flash have a latency of about 5 microseconds, lower bandwidth than HBM, a lower cost per bit, but the total cost may be comparable. He believes the clearest customers are entities unable to obtain HBM, which aligns with the Chinese demand he heard from two to three people, as they cannot adequately manufacture accelerators or are willing to accept non-leading specification products.

Zhu Xiaohu, founding partner of Jinsha River Ventures, stated: The model API business is difficult to maintain high gross margins in the long term. Anthropic currently has a gross margin of about 60%, primarily due to the strong intelligence capabilities of the model, especially in coding scenarios where it had a significant advantage, but that advantage has begun to cross a critical point; when other models catch up, the price may only be one-tenth of its current level, making it hard to maintain a high premium. Even if it remains ahead in the next few years, if the intelligence is only 10% stronger but the price is 50% higher, users may not continue to pay. Intelligence will ultimately become more like electricity and water, and the long-term gross margin for model APIs may be between 10% and 20%. Once capabilities converge, price wars will be hard to avoid, and Anthropic's urgency to go public may also be related to the window period.Zhu Xiaohu mentioned that the AI office market is definitely much larger than AI coding. AI coding was the first to emerge because engineers have a high acceptance of AI, tasks are clear, and results are easy to verify, but it is only part of office work; the truly larger market is the white-collar market, namely AI office, which is essentially a general-purpose agent, similar to Microsoft Office. The competitiveness of AI office products lies in Model + Harness + Product + Context, and once harnesses converge, competition will shift to Context.Regarding Tencent AI, Zhu Xiaohu stated that Tencent is a latecomer, and the Hunyuan model has squeezed into the top tier domestically, with WorkBuddy becoming the leading office agent application in the domestic top tier. Jinsha River Ventures has purchased a WorkBuddy enterprise account because it uses WeChat for Work, and the organizational relationships, historical communications, as well as Tencent Meeting and Tencent Docs constitute a ready-made Context.

According to the Korea Herald, BNK Investment Securities and the global cultural finance fintech startup EverTreasure have officially signed a strategic cooperation agreement (MOU). The two parties will jointly carry out decentralized investment and token securities business around cultural content such as films, performances, musicals, and artworks.

Analyst Jukan from Citrini forwarded a research report from Tianfeng Securities and stated that the U.S. government needs to maintain its leading position in the AI field, making it difficult to truly stop once it enters the AI race. Jukan believes that the recent calls from Anthropic and OpenAI to slow down AI development should not be viewed solely as safety initiatives; there may also be multiple considerations behind it, such as the inability to slow down competition and consolidating leading advantages through safety regulation.Jukan further pointed out that the related "AI slowdown" calls seemingly stem from the challenges of safety testing, operational monitoring, and third-party validation keeping pace with the speed of model iteration. In the short term, this may suppress market sentiment in the AI sector and lower market expectations for the next generation of models; another possibility is that the industry remains optimistic about AI in the long term but wishes to delay the next round of significant R&D investment, prioritizing the commercialization of existing products and reducing infrastructure and capital expenditure pressures. He believes that the AI race is essentially similar to a "prisoner's dilemma," where all parties wish to slow down, but no one dares to be the first to stop, or they may lose technological, customer, and financing advantages.Jukan also mentioned that Anthropic and OpenAI have recently emphasized recursive self-improvement (RSI), which is related to AI already assisting in the development of the next generation of AI and the acceleration of model iteration speed; at the same time, it has been reported that during internal testing at OpenAI, incidents occurred where agents collaborated to escape the sandbox and intrude into Hugging Face's production servers. Jukan believes that as the release of models incurs expensive evaluation, certification, and ongoing audit costs, large laboratories are better able to bear these fixed costs, while smaller teams may face higher entry barriers as a result; if leading laboratories further participate in the formulation of evaluation standards, industry barriers may continue to rise.

Arya.ag, an agricultural warehousing and loan company in India, is testing a system for tokenizing warehouse receipts for stored grains on the Avalanche dedicated Layer 1 blockchain. Arya.ag is collaborating with Finternet to connect grain storage, warehouse receipts, collateral commitments, and loan statuses through this network. Devika Mittal, head of Ava Labs India, stated that the testing is underway, with each tokenized warehouse receipt representing ownership of the stored goods.Sanmesh Kalyanpur, a director at Finternet Labs, mentioned that Arya.ag's samplers collect information on stored grains and input it into the company portal. Finternet will integrate farmers, commodities, warehouses, and insurance information into a "composite token" for banks to assess collateral risks. Arya.ag stores approximately $2 billion worth of agricultural products in its warehouse network and supports loans of about 120 billion Indian Rupees (approximately $1.26 billion) annually, with its loan department, Arya Dhan, disbursing around $230 million in loans each year.The concept of Finternet originated from a 2024 paper by the Bank for International Settlements (BIS), co-authored by Infosys co-founder Nandan Nilekani and then-BIS General Manager Agustín Carstens, proposing the establishment of an interconnected unified ledger for tokenized assets. In 2024, the Indian government launched a 10 billion Rupee credit guarantee scheme to encourage financing against electronic transferable warehouse receipts. The two companies have not disclosed the expected launch date or initial deployment scale.

As the Mid-Autumn Festival approaches, the world's leading digital asset trading platform Gate has launched a limited edition gift box themed around the festival, specifically for global partners and VIP users. As an important traditional festival, the Mid-Autumn Festival carries cultural meanings of reunion, gathering, and good wishes. Gate also takes this opportunity to extend sincere greetings to global users and partners, further strengthening interactions with the community and ecological partners.The design of this gift box incorporates visual elements such as the moon and space travel, along with outdoor lifestyle products like picnic mats and inflatable sofas, extending the "moon viewing" imagery of the Mid-Autumn Festival into a more modern outdoor setting. It is worth mentioning that the lunar elements naturally resonate with the long-standing "To the Moon" culture in the cryptocurrency industry: on one end is the bright moon symbolizing reunion and good wishes in Mid-Autumn culture, while on the other end is the cryptocurrency industry's expression of exploration, breakthroughs, and future visions.From holiday gifts to brand cultural expression, Gate's Mid-Autumn gift box integrates the festival's meaning of reunion, outdoor lifestyle, and cryptocurrency culture into a single scene, conveying the spirit of the festival while also strengthening emotional connections with global users and partners in a more industry-specific manner.

Figure co-founder and Executive Chairman Mike Cagney tweeted that DeFi is more suitable for asset-backed finance (ABF), which can avoid double pledging, directly improve collateral, self-custody or autonomous venues, and liquidity collateral. He believes that Figure has brought ABF on-chain, but overall it is still in the early stages, with approximately $60 trillion of the market yet to migrate on a large scale.He also listed five reasons why traditional finance has been slow to enter on-chain applications: poor interface experience, which has allowed applications like Robinhood and SoFi to win on the retail side; the long-term difficulty of achieving qualified custody and recoverable self-custody; hedge funds and others requiring multiple wallets, multiple users, tiered permissions, and complete audits to be exported to fund administration and accounting; regulation is being streamlined, and the precedent for on-chain native securities is becoming clearer, with hopes for the CLARITY Act and guidelines; and KYC issues are easier to resolve than the outside world thinks, as on-chain programmatic screening and wallet-level permissions can be implemented.

DeFi researcher Ignas posted on the X platform, stating that in the AI era, the way to find Meme coins seems to have fundamentally changed little. Taking Grok as an example, when asked to recommend worthwhile Meme coins, it typically only provides token codes based on historical data such as views, trading volume, and the number of posts on the X platform.Real Meme coin trading still requires human judgment on whether a project has the potential to "break out," including market sentiment, community atmosphere, narrative appeal, and whether KOLs suddenly start promoting it. Compared to asking AI once a day what to buy, being continuously online 24/7 to capture changes in market sentiment still has greater advantages.However, Ignas pointed out that AI is fundamentally changing liquidity provision (LP) strategies. AI agents can automatically filter liquidity pools and analyze factors such as trading volume, transaction fees, fee trends, liquidity depth, and suitable price ranges. Currently, related strategies are still being refined, but a methodology has already been formed that can be continuously optimized and generate compounding effects. If trading Meme coins and being "online 24/7" does not suit you, then leveraging AI to learn and execute LP strategies might be a more easily mastered skill.

According to Bloomberg, UBS analysts expect that China's semiconductor manufacturing capabilities may struggle to make sufficient progress in the next decade to develop solutions that can truly replace ASML's cutting-edge EUV lithography technology. UBS analysts wrote in their report, "The stage they are currently at seems comparable to ASML's in 2004." Based on patent application activities, especially in the fields of light sources and laser subsystems, China's current technological maturity is roughly equivalent to ASML's level 15 years before it began mass production of EUV equipment.UBS also expects that China is likely to have the capability for mass production of immersion DUV lithography machines within the next two to five years. Although immersion DUV is not as advanced as EUV, it remains an indispensable tool in chip manufacturing. ASML's immersion DUV machines are priced at nearly $90 million, while EUV equipment costs over $200 million each. China is one of ASML's largest markets, but due to export restrictions, ASML is prohibited from selling EUV equipment to China. UBS pointed out that considering the yield and capacity gaps and regulatory restrictions, Chinese lithography equipment is unlikely to be applied overseas. An ASML spokesperson did not respond to requests for comment. The report is based on UBS analysts' predictive views, and actual progress will depend on industry dynamics.

Greeks.live researcher Adam stated: "I see some people discussing the Strategy to restart buying coins. This short-term stimulus does not affect the long-term trend, and the Strategy is also a big trap. BTC now has no possibility of market manipulation, and no one can predict the trend. It can only be said that after the Strategy has floating profits, there is more room to buy coins. Looking at the long term, the overall ETF is still flowing out, and it is very difficult to stabilize at $80,000, with significant selling pressure.On the macro front, whether it is the Federal Reserve's hawkish remarks or the escalation of the US-Iran conflict, both are challenging the already fragile investors. The short-term volatility is decreasing rapidly, and it is difficult to support a bull market with just one bullish candle. I hope that after a slight correction, it can reach above $85,000; otherwise, arbitrageurs and sellers will create significant selling pressure. The Gex at the end of the month is gathering, and we need to maintain this momentum."

The Ministry of Industry and Information Technology of China has launched a special action to cultivate artificial intelligence application service providers, encouraging various regions to increase the procurement of large models, intelligent agents, and Token services through first purchase and first use, risk compensation, and other methods, while using tools such as "computing power vouchers" to reduce computing power costs.The Ministry of Industry and Information Technology will also establish a national resource pool for AI application service providers, aiming to exceed 2,000 by the end of 2026 and no less than 3,000 by the end of 2027. These service providers mainly help enterprises implement AI projects, with services ranging from early consulting, program design, to system development, integration delivery, and then to subsequent operation and maintenance and security governance.This policy also specifically names FDE. The Ministry encourages service providers to form FDE teams to directly address project implementation issues on-site with users. Various regions are also required to open real business scenarios, organize supply and demand matching, and turn high-frequency, essential business needs into standardized AI products that can be delivered repeatedly.