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first_img SEC approves the listing of exchanges for binary options based on KPI as the underlying asset

On October 13, Paul S. Atkins, Chairman of the U.S. Securities and Exchange Commission (SEC), issued a statement announcing that the Commission voted that day to approve a proposed rule change by a certain securities exchange, allowing for the listing of binary options based on specific key performance indicators (KPIs) reported by certain stock issuers.According to the approval order, these binary KPI options will be listed and traded on the securities exchange, classified as cash-settled, European-style, standardized options, and recognized as NMS securities, protected under securities law. Their listing and trading methods will be largely similar to existing standardized non-binary options and will be subject to the exchange's rules regarding customer accounts, margin, trading halts, auction mechanisms, market maker designations and quoting obligations, order types, validity periods, and order instructions.The approval order only covers the aforementioned specific binary option contracts traded on exchanges that comply with securities law and the listing and trading of standardized securities options, and does not involve similar products that are based on the same KPIs but have different structures. The statement also noted that the approval order does not address or exclude the jurisdiction of the U.S. Commodity Futures Trading Commission (CFTC) over contracts based on the same KPIs but designed to fall under its jurisdiction.

first_img a16z General Partner David Haber: Long-cycle intelligent agents can charge based on results

David Haber, a general partner at a16z, stated that long-cycle intelligent agents can now progress towards goals across dozens of steps and various interaction methods over weeks to months. He noted that AI previously handled short tasks with clear boundaries, where customer service was implemented earlier due to verifiable results and edge cases manageable by humans; now, intelligent agents can guide insurance clients from the initial call to payout, mortgage clients from pre-approval to closing, and business leads from demonstration to signing, gaining returns based on revenue growth rather than just cost savings.He used the example of plaintiff lawyers preparing cases, stating that the process resembles a relay race, where value can easily be lost at handoff points. Potential clients often contact multiple law firms simultaneously, and slow responses or evaluations can lead to loss; after signing, evidence collection is limited by manpower, and firms may not follow up with witnesses who did not answer the fifth call, making it difficult to review low-value cases item by item. Missing bills or unexplained treatment gaps can also lower settlement amounts. Long-cycle intelligent agents can assess in real-time around the clock, utilizing sub-agents to advance evidence collection and client updates via phone, email, or text, while maintaining complete records from call logs to medical records.Haber proposed three commercialization paths: selling platforms to existing teams, taking over outsourced services, or vertically integrating as a full-stack service provider, such as purchasing debt portfolios and completing collections. He mentioned that most states in the U.S. prohibit non-lawyers from sharing attorney fees, so the plaintiff legal scenario needs to align pricing with settlement amounts but cannot directly share profits.

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.

Zhao Changpeng released a guide on cryptocurrency asset custody, recommending that the custody method be chosen based on asset scale and technical capability

Binance founder Zhao Changpeng released a simplified guide for cryptocurrency asset custody, suggesting that users match security measures according to their holding scale and technical capabilities, while focusing on three major issues: preventing asset theft, avoiding accidental loss, and planning for asset inheritance in advance.Regarding self-custody, Zhao Changpeng advised users to take measures such as storing private keys on offline devices, using reliable hardware wallets, verifying transaction addresses, and setting up multiple off-site backups. He also reminded users to avoid saving keys through photos or screenshots to prevent them from syncing to the cloud and causing leaks. In terms of asset inheritance, users should develop a secure recovery plan in advance, avoiding direct sharing of keys or storing recovery information in an unencrypted form. For centralized trading platforms, Zhao Changpeng suggested that users assess the platform's reputation, security capabilities, and business model, and strengthen account protection through measures such as independent email, strong passwords, two-factor authentication, hardware security keys, and withdrawal address whitelists, while also being vigilant against phishing attacks and API credential leaks.Zhao Changpeng further suggested that users should reasonably allocate assets between centralized trading platforms and personal wallets based on their technical capabilities, security management levels, and funding needs. Self-custody means that users need to independently bear the responsibility for private key protection and asset recovery, while custody by trading platforms involves platform credit and counterparty risk. Additionally, maintaining an independent wallet helps to ensure access to assets during maintenance or service interruptions on trading platforms.
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