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Alibaba Cloud announces pricing for its AI-native database service product, Databridge Agent.
According to Mars Finance, Alibaba Cloud's official website shows that its AI-native database service product, Databridge Agent, will officially switch to commercial billing on August 1, 2026.
Google's flagship model, Gemini 3.5 Flash, natively supports PC control, unlocking enterprise-level intelligent agent automation.
According to Beating's monitoring, Google has integrated the Computer Use functionality as a built-in tool directly into its main model, Gemini 3.5 Flash. Before native integration, developers had to use a dedicated Gemini 2.5 Computer Use model to execute agent tasks. With native integration, developers and enterprise users can directly control devices through the Gemini API or the Google Cloud Gemini Enterprise Agent Platform (formerly Vertex AI platform), simplifying agent development architecture. The built-in Computer Use tool receives screenshots from browsers, mobile devices, or desktop environments, performs visual perception and step-by-step reasoning, and then outputs operation commands such as mouse clicks, keyboard input, scrolling, and menu navigation to complete long-process automated tasks such as continuous software testing and cross-web data collection. To facilitate debugging and auditing, the model generates commands with an "intent" field to explain the logic of each operation. To address the risk of tooltip injection that agents may encounter in real-world network environments, Google has conducted targeted adversarial training on its models and provides two optional safeguards: mandatory human approval for irreversible operations such as payments and file deletions; and automatic task termination if indirect injection commands are detected in screenshots. Browserbase currently offers an online hosted demo environment (gemini.browserbase.com), and Google has also open-sourced a reference implementation called computer-use-preview on GitHub.
B.AI Strategic partnership established with Tencent Cloud to jointly build financial infrastructure for the AI agent era
Mars Finance reports that [Company Name] has announced a strategic partnership with Tencent Cloud to jointly build enterprise-grade financial infrastructure for the AI agent era. With the rapid development of AI agent technology, higher demands are being placed on the stability, security, and scalability of underlying financial systems. This collaboration fully integrates [Company Name]'s pioneering experience in on-chain finance with Tencent Cloud's globally leading cloud computing capabilities, aiming to build a solid technological foundation for the on-chain ecosystem. In the future, both parties will continue to improve the stability and performance of on-chain financial infrastructure, providing sustained momentum for the growth of the digital economy.
Agent of "1011 Insider Whale": AI computing power trading is undergoing a shift, with funds flowing from storage chips to hyperscale cloud providers.
According to Odaily Odaily, Garrett Jin, an agent of "1011 Insider Whale," pointed out that the market structure has changed significantly this week, with funds being redistributed within the AI industry chain. Change 1: Signs of a temporary peak in memory chips are emerging. He said that Micron's stock price encountered resistance and fell back around $1,250. Although the financial report was stronger than expected, the stock price was still falling with increasing volume, showing the typical top characteristics of "weakening after the good news is realized". Meanwhile, funds flowed out of the memory sector rapidly. DRAM-related ETFs saw a significant drop in trading volume, and SK Hynix and Samsung Electronics in the South Korean market also weakened. Data shows that foreign capital has withdrawn more than 100 trillion won (approximately US$65 billion) from the South Korean stock market in the past two months. Change 2: Funding shifts to AI hyperscale cloud providers. He pointed out that the real destination for funds is not small and mid-cap AI concept stocks, but core cloud computing giants such as Google, Microsoft, and Amazon. When the chip sector came under pressure last Friday, GOOG and MSFT had already stabilized with increased trading volume, and this week META further strengthened this trend with increased trading volume. Garrett Jin believes that the logic behind this round of capital migration is the "token optimization trend": as more and more simple tasks are handled by low-cost models, value will gradually be concentrated in token-billed cloud services and orchestration layers, rather than the basic model layer. This also constitutes the core moat of hyperscale cloud vendors, and the current strategy should focus on the catch-up opportunities of hyperscale cloud vendors.
Tencent Cloud: Free GPU quotas will be eliminated for cloud-native builds.
Mars Finance reports that Tencent Cloud announced that, starting August 1, 2026, CNB will discontinue the free quotas for "Cloud Native Building - GPU" and "Cloud Native Development - GPU". GPU resources will still support pay-as-you-go usage, with the unit price and other billing items remaining unchanged. Organizations that have already linked their Tencent Cloud budgets: Free GPU quotas will no longer be issued; all usage will be charged at the unit price deducted from the budget. Organizations that have not linked their Tencent Cloud budgets: GPU-related functions require budget linking to be used. Please go to Organization Settings - Usage Management to link your budget. (Cailian Press)
JPMorgan executive: Exploring the application of Agentic AI in cross-border payments and treasury automation.
According to Mars Finance, during New York Tech Week 2026, Zack Anderson, Chief Data and Analytics Officer of J.P. Morgan Payments, shared the latest applications and strategic outlook of AI in payment infrastructure at a seminar. He stated that AI applications in the banking industry are maturing rapidly, with most AI agents now operating invisibly in the background, significantly improving the efficiency of payment flows and risk management capabilities. Anderson pointed out that with the popularization of agentic AI, the core challenge facing the payment field lies in the governance and auditability of "machine authorization" (especially for high-value payments). He emphasized that using AI to handle complex cross-border payment compliance rules is a significant near-term opportunity, potentially leading to a substantial reduction in payment rejection rates. Furthermore, while current corporate AI investments are mostly concentrated on the customer front end, "Agentic Treasury" will be a crucial early opportunity in the future, and its large-scale application still depends on further improvements in underlying data and governance infrastructure.