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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.

According to The Bell, Samsung Electronics' foundry division has delayed its contract for application processor foundry production with Qualcomm due to differences in production unit prices, and both parties have failed to narrow the price gap, prolonging negotiations. There have been no significant technical issues, and the currently discussed 2-nanometer process has received a considerable degree of stabilization evaluation.Industry sources indicate that the Qualcomm AP foundry using Samsung's 2-nanometer process may be postponed until next year, and it is unclear whether production can commence within this year. Qualcomm had previously entrusted advanced AP production to Samsung before 2021, and Samsung has been continuously striving to regain this business in recent years, having secured clients such as Tesla and Broadcom.Informed sources state that the contract delay has made it difficult for Samsung to produce APs for Qualcomm this year, and both parties may turn to discuss the next generation of products. After acquiring strategic clients, Samsung is no longer willing to accept low-price orders as it did in the past.

According to the report "Explosive Growth of Stock Derivatives in 2026: The Landscape of Cryptocurrency Exchanges and Key Trends" released by RootData, the stock derivatives sector has transitioned from "marginal experimentation" to the "explosive growth" phase, with a cumulative trading volume of approximately $17.5 trillion from January to August.In terms of cumulative transaction volume, the concentration effect among the top exchanges remains significant. Among the four exchanges, Binance ranks first with $853.58 billion and a 61.3% market share; Bitget follows in second place with $270.85 billion and a 19.5% market share; OKX comes in third with $234.39 billion and a 16.8% market share; Bybit ranks fourth with $33.41 billion and a 2.4% market share.Regarding liquidity, in the ±2% weighted order book depth indicator, Binance and Bitget together account for over 70% of the stock derivatives order book liquidity. Among them, Binance has an average daily order book depth of approximately $10.1 million, followed closely by Bitget at $4.82 million, with OKX and Bybit at $3.87 million and $1.16 million, respectively.In terms of trading costs, in the recent comparison of weighted spreads for more than a dozen representative popular assets, Bitget ranks first with 0.0144%, followed closely by Binance at 0.0145%, with both essentially at the same level; OKX is at 0.0154%, and Bybit is at 0.0237%.

Imran Khan, co-founder of Alliance, stated that Coinbase founder Brian Armstrong and Robinhood co-founder Vlad Tenev are leveraging their respective backgrounds to carve out different tracks in the cryptocurrency market.Vlad has built Robinhood into a platform centered around retail trading, deeply understanding the psychology and trading motivations of high-risk tolerant retail investors, which will give him an advantage in controlling retail speculation and trading in the future; while Brian has dedicated the past decade to popularizing Bitcoin and the cryptocurrency value system, deeply rooted in the Silicon Valley tech startup ecosystem, which determines that Coinbase and Base are more inclined to build underlying financial infrastructure aimed at changing the real world.Imran believes that although there is overlap in their businesses, the market space is large enough, and one party's activity in speculative trading does not mean the other party will fail. Both will lead millions of new users into the on-chain world from completely different entry points.

During the weekend market closure of traditional markets, perpetual contract types of stocks may have already priced in the stock market trends. According to RootData, most popular stocks are above the last after-hours levels:Semiconductor Triple Long ETF (SOXL) is currently at $125.65, up 7.59% from the last trading day's after-hours reference price of $116.79;SanDisk (SNDK) is currently at $1,785.09, up 3.07% from the last trading day's after-hours reference price of $1,731.88;Micron Technology (MU) is currently at $1,043.54, up 2.84% from the last trading day's after-hours reference price of $1,014.74;iShares Semiconductor ETF (SOXX) is currently at $532.09, up 2.62% from the last trading day's after-hours reference price of $518.48;Intel (INTC) is currently at $98.16, up 2.46% from the last trading day's after-hours reference price of $95.80;SK Hynix (SKHY) is currently at $179.44, up 2.08% from the last trading day's closing reference price of $175.78;VanEck Semiconductor ETF (SMH) is currently at $578.73, up 2.06% from the last trading day's after-hours reference price of $567.05;SpaceX (SPCX) is currently at $150.54, up 1.87% from the last trading day's after-hours reference price of $147.78;IREN (IREN) is currently at $43.96, down 1.59% from the last trading day's after-hours reference price of $44.67;AMD (AMD) is currently at $483.59, up 1.58% from the last trading day's after-hours reference price of $476.08;

According to the latest stock derivatives exchange ranking released by RootData, WEEX has the largest spread among the Top 10, with MEXC in second place, reaching 0.078% and 0.052% respectively. In contrast, Binance, which ranks first overall, has a spread of only 0.008%, with 60% of exchanges having spreads below 0.02%.It is reported that this spread is weighted by the 24-hour trading volume, and a higher value usually indicates higher trading costs.

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.

Co-founder of Arbitrum Steven Goldfeder and co-founder of Solana Toly engaged in a debate over on-chain transaction fees, MEV protection, and the single sequencer model.Steven stated that one cannot simply compare surface-level fees. Arbitrum One and Robinhood Chain actively prevent front-running and most harmful MEV, while some chains that claim lower fees have higher MEV costs, including front-running against retail investors. He expressed a preference for paying clear fees upfront rather than incurring hidden losses from front-running, sandwich attacks, and other issues for the sake of lower fees.Toly countered that Arbitrum currently has a less favorable bid-ask spread and higher fees. The 10% cut taken from transaction fees alone translates to a cost in basis points that exceeds the loss rate from sandwich attacks, which he estimates to be about 10 times that of the latter, not accounting for the impact of the spread. He emphasized, "A single sequencer that pursues shareholder value maximization can never outperform permissionless competition."

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.

The U.S. Securities and Exchange Commission (SEC) has publicly released its request for comments regarding "Novel ETFs," which may hold crypto assets or adopt unconventional strategies. The disagreement centers on whether the filing documents should remain public before the fund begins trading and how quickly the review process should be. Crypto asset management firm Grayscale and the crypto policy organization Crypto Council for Innovation (CCI) support establishing an optional confidential filing period to reduce competitors from submitting imitation documents.Charles Schwab opposes complete confidentiality and suggests that filing documents should be made public at least 75 days in advance. Grayscale requests that the SEC respond within 45 days, while CCI argues that the confidentiality process should not extend the automatic effectiveness or review period. Venture capital firm Andreessen Horowitz (A16z) supports shortening the review time but emphasizes that the rigor of the review should not be reduced; trading firm Jane Street believes that accelerating the process could lead to a decline in product quality, competitiveness, and liquidity.Currently, there are 174 ETFs related to crypto assets in the U.S., with BlackRock's iShares Bitcoin Trust ETF (IBIT) managing approximately $61 billion in assets, accounting for about 38% of the total assets of related ETFs. The SEC will decide whether to adjust the confidentiality arrangements for filings and the speed of the review.

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."

According to South Korean media Daum, an analysis of the five major Korean won exchanges Upbit, Bithumb, Coinone, Korbit, and GOPAX, as well as the public API of CoinGecko, found that after excluding duplicate assets, the five exchanges collectively support approximately 606 types of crypto assets. Among them, 164 types (27.1%) are only available for trading on one exchange, and another 324 types (53.5%) are traded on two or fewer exchanges.Among the assets supported by a single exchange, Coinone has the most, with 55 types; Bithumb has 54 types, GOPAX has 25 types, Upbit has 16 types, and Korbit has 14 types. In terms of liquidity, the median trading volume of these 164 assets in nearly 24 hours is only about 1.37 million won, with 79 types having a trading volume of less than 1 million won, and 38 types even having zero transactions.The analysis suggests that listing on a single exchange does not inherently mean that the asset carries risk. If the relevant assets are actively traded on overseas exchanges or support smooth withdrawals, investors still have other exit channels. However, for assets with low overseas trading volume and restricted deposit and withdrawal networks, once support is terminated, investors may face difficulties in both selling and transferring.

The Hong Kong Securities and Futures Commission has listed Star Bridge Capital, Star Bridge Capital Group, SBCFX, Star Bridge Capital Group, Star Bridge Capital Pty Limited, and Topical Wealth International Ltd as unlicensed companies, prohibiting them from engaging in any regulated activities in Hong Kong or actively promoting their services to the public in Hong Kong (whether within or outside Hong Kong).Previously, it was reported that Star Bridge Capital experienced an abnormal liquidation incident in London gold trading, and after the incident, the Hong Kong office of the platform was empty. Due to some funds being deposited through USDT stablecoin, tracking the funds has become more difficult. The Hong Kong police have accepted the case and temporarily classified it as fraud, but no arrests have been made yet.

Elon Musk responded to "OpenAI plans to end its partnership with Cursor due to Cursor being acquired by SpaceX." He stated that he "doesn't care at all" and criticized OpenAI CEO Sam Altman and co-founder Greg Brockman as untrustworthy, claiming they "stole from an open-source non-profit organization."Previously, it was reported that OpenAI plans to terminate its collaboration with Cursor, and the direct access to the model will end on November 12. The co-founder of Cursor stated that they are communicating with the OpenAI team to seek a solution.

Zhao Changpeng stated at the "Bitcoin Asia 2026" conference in Hong Kong that both the RWA and AI sectors are currently very strong. Stablecoins, centralized exchanges, decentralized exchanges, and Meme tokens, which have been growing, will continue to grow, and NFTs may return in some form. It is difficult to predict what the next breakout point will be, just as it was impossible to predict the coin issuance craze at the beginning of 2017 and the NFT craze six months before it exploded; these all require entrepreneurs to create.He also mentioned that the funds used by billions of AI agents for automated buying, selling, negotiating, and trading in the future will definitely be cryptocurrencies, likely starting with stablecoins, and then gradually integrating other public chain assets like Bitcoin. He has discussed the possibility of issuing tokens with several top AI companies, as building data centers requires huge amounts of capital, with the cost of 1 GW of computing power being about $30 billion to $50 billion. Some AI companies plan to build hundreds of GW of computing power in the coming years, so they are considering issuing data center tokens that would allow holders to gain rights to use computing power in the future. Additionally, the payment scenarios for AI agents may be implemented later than trading scenarios; currently, AI companies are more focused on helping agents find optimal trading solutions, while trading scenarios require AI to process information quickly, which can increase trading efficiency by about ten times.