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Gate founder and CEO Dr. Han: Gate Money makes buying coffee with stocks a reality, aiming to double the user base within one to two years

According to the latest episode of the Gatecast podcast, Gate founder and CEO Dr. Han shared the product philosophy and future plans of Gate Money. He stated that Gate is extending years of accumulated experience into the fields of asset management and daily payments, reaching a broader user base, with the goal of doubling the user scale of Gate Money in the next one to two years.Leveraging the technical systems, institutional clients, and market-making liquidity accumulated from years of trading operations, Gate supports the exchange between various types of assets; relying on a global licensing layout and partnerships with banks and payment networks, Gate Money creates conditions for users' fund collection, payment, and consumption applications. These capabilities collectively form the operational foundation of Gate Money, enabling the platform to reduce exchange and fund circulation costs in different usage scenarios.Through various capabilities such as holding, exchanging, appreciating, and paying, Gate Money connects multiple types of assets with life needs. Dr. Han illustrated the consumption use of assets beyond investment by using the example of "buying coffee with stocks." In eligible regions, users can open bank accounts in their own names, using familiar payment methods, with transfers processed by underlying blockchain technology; idle funds can also participate in appreciation through yield products.Looking ahead, Dr. Han also shared the application prospects of AI Agent providing round-the-clock assistance in asset allocation and fund management. With the integration of investment, wealth management, and daily payments, Gate Money will continue to expand the application boundaries of various assets, promoting Gate's services deeper into more everyday life scenarios.

first_img Alibaba Cloud helps Jielue Xingchen build a computing power factory, creating 30,000 sandboxes in minutes

The official account of Alibaba Cloud stated that the large model company Step Star has globally released its flagship open-source model Step 5 Preview, positioned as a primary working model for real-world intelligent agent tasks, excelling in AI programming, software engineering, professional knowledge work, and financial scenarios. The model has a total of 600 billion parameters and 27 billion active parameters, utilizing sparse MoE, with a maximum context window of 1 million, capable of processing text, images, and videos. The article mentions that it recently ranked second globally in both weekly and daily call volume on OpenRouter. On the day of the release, Alibaba Cloud announced the completion of DAY0 adaptation, optimized for joint inference based on chips, super node instances, and models, with inference computing power provided by the Lingjun super node.Step Star has developed its own intelligent agent reinforcement learning training platform, with the sandbox platform managed by Alibaba Cloud. The solution is based on Alibaba Cloud's Agent Sandbox and Kubernetes container service, aimed at elastic computing power in training mode, claiming to create tens of thousands of sandboxes in a single minute, with a maximum concurrency of up to one million, compatible with E2B API, and providing native Kubernetes interfaces. Through multi-level image caching, intelligent pre-scheduling, and control link optimization, it achieves millisecond-level application and minute-level creation of 30,000 sandboxes, with the sandbox lifecycle uniformly managed by Alibaba Cloud's backend.In terms of storage, each Pod starts with 15GB of free temporary storage, automatically increasing by 30GB each time when usage exceeds 70%, up to a maximum of 300GB. For security, MicroVM-level isolation is adopted by default, covering computing, networking, storage, and permissions, with zero-trust access to cloud products and large model interfaces. The results provided in the article include: a 90% reduction in image startup time, model evaluation cycles compressed from weekly to daily, and an average savings of about 40% on EBS storage costs; relying on ACK One Fleet, it can support the stable operation of hundreds of thousands of sandboxes simultaneously.

first_img OpenAI sent a letter to the Governor of California, supporting mandatory AI regulation

According to a report by Financial Associated Press, Chan Park, Head of Policy and Partnerships for OpenAI in North America, wrote to California Governor Gavin Newsom on October 20, expressing support for mandatory requirements for artificial intelligence companies, including equipping models with emergency shutdown mechanisms, undergoing independent audits annually, and implementing higher standards for cybersecurity regulations. The letter suggested strengthening California's AI Transparency Act SB53, which is set to take effect in 2025.The current SB53 requires cutting-edge AI companies to publish safety frameworks and transparency reports, as well as report significant safety incidents. OpenAI believes these requirements are insufficient and proposes that regulatory rules should clearly state that corporate safety frameworks must cover the capabilities of cutting-edge models to independently conduct AI research and development. OpenAI revealed in a blog post in September that it plans to create automated AI researchers, aiming to achieve this by March 2028.During the legislative review phase of SB53, OpenAI did not support the bill and publicly opposed burdensome state-level legislation in March 2025. OpenAI disclosed this week that in two recent internal programming tasks, AI agents attempted to deliberately deceive staff and undermine monitoring systems: earlier this month, one agent disabled automatic alerts sent to the security team, and days later, another agent removed the monitoring system and falsely claimed to employees that it had not done so. Audits by independent investigation firms Asymmetric Security and Transluce show that recent related incidents are more widespread than initially disclosed by OpenAI.

first_img a16z crypto partner Ali Yahya announced his departure and will establish an AI company

a16z crypto partner Ali Yahya posted on X that he has decided to leave a16z, move to San Francisco, and start a company. He stated that he has been with the company for nearly 10 years, and when he met Chris Dixon, Ben Horowitz, and Marc Andreessen in 2017, he was an engineer at Google Brain working on robotics research, with a strong interest in open source but no knowledge of investing.Ali Yahya mentioned that at that time, Chris Dixon had already laid the groundwork for a16z in the early crypto space by investing in companies like Coinbase, but the company's crypto team consisted of only Chris Dixon, and he hoped to expand the team. Chris Dixon invited him to leave Google to help build the company's crypto business. He expressed that forming the team together and supporting founders' work has been the most meaningful experience of his life, and he thanked Chris, Ben, Marc, and the team.Regarding his entrepreneurial direction, Ali Yahya stated that he is still in the early stages and is most focused on infrastructure that can support an open software ecosystem. He made two observations: current AI is mostly a technology for individual use, but in the future, it will shift towards collaboration among multiple people and multiple intelligent agents, potentially leading to large-scale open networks; the cost of software development has significantly decreased, allowing for on-demand generation and disposal after single use, which will change the software stack and may give rise to new operating systems mediated by AI and an AI-native developer ecosystem. He invited those working in related fields, especially those in the Bay Area, to communicate with him.

first_img Decentralised.co: On-chain options trading is still less than 1% of perpetual DEX

Decentralised.co published: The on-chain options trading volume is still less than 1% of perpetual contract DEX, while traditional market options trading is about three times that of futures. The institution backtested Bitcoin daily closing prices from January 2018 to October 2026, finding that among the ultimately profitable longs, the liquidation probabilities for 10x perpetual contracts over 180 days, 90 days, and 60 days were 47%, 29%, and 18%, respectively. It replayed three $1,000 Bitcoin longs on October 10, 2025: the 10x perpetual was liquidated at 21:14, the 30-day call option dropped to a low of $181 but returned to over $800 within an hour, and a $52 7-day put option helped the 10x long survive the downturn.Decentralised.co: In the past, on-chain options often failed due to fragmented order books, difficult hedging, and locked funds. Hegic depositors lost most of about $80 million in May 2021, Lyra depositors experienced a 4.9% loss in the Bitcoin pool and a 17.6% loss in the Ethereum pool within 7 months, and PsyOptions closed its product in June 2024. With the combination of perpetual liquidity like Hyperliquid, the locked funds required to sell a Bitcoin call option could be reduced from about $100,000 to about $15,000, while monthly returns increased from 1.8% to about 12%.The article lists Hyperliquid as the main venue for hedging liquidity, with the options protocol Derive (formerly Lyra) as the underlying engine, Paradex handling large trades, and Hypercall being the first options venue built on Hyperliquid. Derive liquidated about $18 billion in notional options value in the year ending October 19. After Paradex integrated with Paradigm on September 15, the date options trading volume increased from less than $3 million to $58.7 million within a week, and open contracts decreased from over $250 million to about $96 million by October 14. By September 2026, the notional value of on-chain options is expected to double to $5 billion, with premiums rising to $85 million.

first_img Australia Savings Bank: Starting from October 1, the additional fee for designated card network transactions will be canceled

The Reserve Bank of Australia (RBA) stated in the frequently asked questions document regarding retail payment regulation conclusions that the removal of surcharges for the designated card networks eftpos, Mastercard, and Visa starting from October 1, 2026, is in the public interest. The RBA will lift the ban on the "no surcharge" rule for the aforementioned networks from that date, with the changes based on Standard No. 3 of 2016 and the revisions to the merchant card payment costs and surcharge standards in 2026. eftpos, Mastercard, and Visa have all decided to implement the no surcharge rule from that date, generally applicable to their credit, debit, and prepaid cards, including cards issued overseas.American Express, UnionPay, and PayPal have also decided to eliminate surcharges, but are currently not formally regulated by the RBA. American Express and UnionPay will withdraw from their existing commitments with the RBA on October 1, 2026, while PayPal's no surcharge rule will take effect on October 5, 2026. This scope is limited to fees charged due to customer card payments and does not include surcharges for weekends, public holidays, booking fees, or service fees. Merchants must comply with the new card organization rules unless exceptions apply; businesses, non-profit organizations, and inter-business card payments do not receive a general exemption.The reforms will be implemented in phases. Starting from October 1, 2026, a lower interchange fee cap will apply to domestic card transactions; from October 30, designated card networks and large acquirers must publish the specified card payment fee information on their websites. From January 30, 2027, large acquirers must disclose how the decrease in interchange fees is passed on to merchant service fees; starting April 1, the interchange fee cap will apply to transactions involving overseas-issued cards acquired in Australia, and acquirers must also provide merchants with more detailed statements. The RBA stated that businesses can still factor the costs of accepting card payments into their overall pricing and may offer discounts for specific payment methods.

first_img ByteDance's commercialization head of GenAI, Wen Shilei, has been reported to leave and may join Octopus Power

Beating AI news reports that Wen Shilei, the head of ByteDance's commercialization GenAI R&D, has recently left the company, with his next stop likely being the embodied intelligence company Octopus Power, where he will serve as a partner. Wen Shilei joined Baidu in 2011, previously serving as the head of visual technology and chief architect of the smart city division, and has won Baidu's highest award twice. After moving to ByteDance in 2021, he initially focused on digital humans, XR, and other technologies, and later took charge of engineering R&D for generative AI in commercial scenarios such as advertising.This business line has recently lost several core leaders. Former head of the commercialization GenAI department, Peng Bingyue, left in July this year and subsequently joined Google; the former head of the China region, Yuan Zehuan, also left in July to pursue a startup in world modeling. With Wen Shilei's departure, the remaining team members have been reassigned to other departments.Octopus Power was founded in January 2026 by former Horizon and Jianzhihui Robotics executive Du Dalong, primarily developing world models for robots, dexterous hands, and data collection systems, having raised nearly 1 billion yuan in total financing by June this year. On October 15, Octopus Power confirmed that co-founder Liang Zhujin will leave; Liang Zhujin previously oversaw post-training and data operations, and it is currently unclear whether Wen Shilei will take over related responsibilities.
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