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The CFTC of the United States rebuts the lawsuit qualification of CME: stating that it has not reasonably explained how the perpetual contract policy caused financial harm

The U.S. Commodity Futures Trading Commission (CFTC) stated in its latest court filing that CME only claims increased competition without reasonably explaining the existence of imminent financial harm, which is insufficient to qualify for a lawsuit challenging its perpetual contract policy. The CFTC pointed out that after the policy adjustment, CME's cryptocurrency futures trading volume has actually increased.In May of this year, the CFTC approved Kalshi's first Bitcoin perpetual contract and stated that it would regulate such products on a case-by-case basis under futures regulations. CME, on the other hand, believes that perpetual contracts do not have an expiration date and should be classified as swaps rather than futures, subject to a different regulatory framework. Last month, the CFTC requested a federal judge to dismiss the case, and this filing further elaborated on its rebuttal to CME's standing in the lawsuit.The CFTC also noted that CME had previously informed investors that it had not heard customer demand for perpetual contracts, and that such products could not replace its existing futures, and that it should not take different positions in court and during earnings calls. TD Cowen policy analyst Jaret Seiberg believes that CME may still have the upper hand regarding its standing in the lawsuit and the argument that the products should be classified as swaps. However, he is concerned that if the perpetual contract market continues to grow during the litigation, it may become more complicated to dismantle this market if CME wins.

Justin Sun's latest personal asset allocation: BTC base position unchanged, ETH reduced by 80-90% and reinvested in US stocks

Recently, TRON founder Justin Sun shared his views on personal assets outside of TRON during a 3.5-hour offline discussion with Jin Ming. The core configuration points are as follows:BTC: As a base asset, there has been no reduction in holdings over the past year. Although concerned about the impact of quantum computing and AI algorithms, believing the market has not fully priced in the related risks, he still insists on holding and has adopted a cold wallet sheltering mode for isolation.ETH: Reduced holdings by about 80%-90% in the $3600-$4000 range last year, currently retaining only about 20% of the base asset for observation, and has not repurchased. Most of the funds from the reduction have been transferred to U.S. stocks.NVIDIA: Main position in U.S. stocks, positioned as a base asset in the AI field, heavily invested and not reduced.NASDAQ 100: Heavily held. Slightly bearish in the medium term (due to capital clustering, high interest rates, etc.), but no short positions taken, and the position is retained.A-shares: No holdings. Overall bearish on traditional assets, more inclined towards AI applications and Web3 directions.In the interview, Justin Sun emphasized that ETH is an aggressive asset, BTC is a base asset, and he is optimistic about applications in AI health management, while being bearish on certain hardware sectors. The above is a summary of the interview points, not a complete balance sheet.

From "Can Pay" to "Get Things Done": X-Agent is building an on-chain personal AI assistant

X-Agent released the latest technical article "From Agent Payments to an Onchain Personal Assistant," revealing the important product direction for the next phase: moving from Agent Payments to an Onchain Personal Assistant that can understand user intent, obtain authorization, execute on-chain operations, and continuously track results.Unlike simply allowing the AI Agent to "have a wallet," X-Agent aims to solve a more critical issue: how to enable the Agent to safely complete an on-chain task on behalf of the user. For example, when a renewal bill arrives, the AI assistant can understand the bill, verify the payee and amount, generate a payment plan, and complete the transaction after user authorization; even if there are timeouts or interruptions during the process, it should resume the original task and check the payment status, rather than blindly repeating the payment. After the payment is completed, the Agent also needs to continue confirming whether the service purchased by the user has truly been delivered.To achieve this goal, X-Agent plans to further connect the three major modules: Agent ID, Agentic Email, and Agentic Wallet, which will respectively handle identity and responsibility attribution, task and communication entry, and controlled on-chain fund execution. Through mechanisms such as payment pre-calculation, one-time authorization, budget control, recovery, and reconciliation, clear security boundaries will be established for the Agent's autonomous execution. Its core logic can be summarized as: user intent → clear authorization → on-chain execution → result verification.X-Agent believes that a true on-chain AI assistant is not just "initiating a transaction on behalf of the user," but is capable of continuously completing tasks and being accountable for the final results under controlled permissions. This also means that X-Agent is exploring a persistent on-chain AI assistant aimed at individual users, moving beyond the infrastructure of Agent payments.

Tencent's internal testing personal investment analysis assistant "Rena Lancaic", supports connecting to WeChat

According to "Du Jia," Tencent is conducting a small-scale test of its personal investment analysis assistant "Rena Lan Cai," which has a PC version and a WeChat mini-program, supporting connection to WeChat. This product is positioned as an AI assistant for individual investors, helping users obtain and understand market and company information, and is currently in a small-scale testing phase.The web version breaks down the investment research workflow into visual modules, with core features including market quick reads, individual stock tracking, and AI Q&A. The market quick read summarizes global market dynamics, continuously updated in the morning, noon, closing, and evening, and associates market information with the user's watchlist; the left sidebar allows users to customize stocks of interest and displays real-time market data, while the right side features an intelligent Q&A panel linked to the day's quick read content, supporting follow-up questions about industry rankings, cash flow in financial reports, and more. In addition to the PC version, Rena Lan Cai is also launched as a WeChat mini-program, with basic functionality aligned across both platforms and conversation records shared. The product also appears in the WeChat chat list as a WeChat ClawBot intelligent entity, allowing users to directly access investment research capabilities in the chat window.The report states that Alibaba is also internally testing its AI investment research product Qovest, and Baidu's previously released Kuku AI is also focusing on investment research, as major companies collectively enter the personal investor AI investment research space. Rena Lan Cai essentially serves as an investment research assistance tool, not providing investment advice and avoiding direct trading compliance red lines.

Qianwen will launch Personal Agent "Qianwen Go!" to support cloud-based task delegation

According to Hard AI reports, Qianwen is about to launch the Personal Agent product "Qianwen Go!". In user-shared experience videos, the product can access flight booking platforms to find delayed flights and negotiate with customer service multiple times to secure a cash compensation of 70 yuan for users; it can also search through orders on Taobao that meet price protection conditions to recover a price difference of 52 yuan for users.Reports indicate that based on the Agent architecture, Qianwen Go has upgraded its scope of services, capable of handling tasks that require repeated checking, communication, and comparison. The initial application scenarios also include car maintenance inquiry appointments, sports venue bookings, and calculating the final price of refrigerators by combining subsidies, old machine recycling, and installation costs. The product operates in a cloud environment and can continue working even after the user closes the app. During task execution, it needs to determine the next steps based on results, such as changing entry points, platforms, or communication methods.Bank of America research on October 7 suggests that the Agent helps users complete tasks and purchases more smoothly, which is expected to expand overall online activities. Morgan Stanley estimates that the personal-oriented Chinese consumer AI monetizable market could reach approximately 300 billion yuan by 2030 and may reach 1.6 trillion yuan by 2040, with major revenue coming from advertising and transaction commissions. Citigroup raised its CPU market forecast on October 6, expecting the global CPU market size to grow from 29 billion dollars in 2025 to 300 billion dollars by 2030.
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