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According to monitoring by Dongcha Beating, WeChat Pay is collaborating with the AI agent WorkBuddy to internally test an AI payment feature. This feature combines autonomous ordering by the AI agent with secure user confirmation by introducing a dedicated AI card in the WeChat balance. The internal testing mechanism is currently in the early testing phase within Tencent, marking the first implementation of dedicated funds and transaction confirmation for AI agents on a third-party payment platform. In the AI card interface within WeChat balance, users can transfer funds to and from the card. The spending limit of the AI card is entirely dependent on the balance loaded onto it. During the binding process, users must explicitly authorize and bind a specific AI agent. WeChat Pay indicates on the binding page that the AI card is a payment card exclusively for the AI agent, and even after activation and binding, user confirmation is still required before the AI agent can make payments. The specific transaction process is completed collaboratively by the AI agent and the user. For example, when purchasing Q coins, a test user can express their purchasing needs in the WorkBuddy chat window, and the AI agent will recommend and generate an order. When the order status shows 'in transaction' in the backend, the AI agent will invoke the AI payment tool to generate a confirmation link. After the user clicks the link, the WeChat payment confirmation page will appear on their mobile device, and the user must verify the amount and enter a password to complete the deduction.

[WeChat Pay Tests AI Payment Feature with Dedicated AI Card]According to monitoring by Dongcha Beating, WeChat Pay is collaborating with the AI agent WorkBuddy to internally test an AI payment feature. This feature combines autonomous ordering by the AI agent with secure user confirmation by introducing a dedicated AI card in the WeChat balance. The internal testing mechanism is currently in the early testing phase within Tencent, marking the first implementation of dedicated funds and transaction confirmation for AI agents on a third-party payment platform. In the AI card interface within WeChat balance, users can transfer funds to and from the card. The spending limit of the AI card is entirely dependent on the balance loaded onto it. During the binding process, users must explicitly authorize and bind a specific AI agent. WeChat Pay indicates on the binding page that the AI card is a payment card exclusively for the AI agent, and even after activation and binding, user confirmation is still required before the AI agent can make payments. The specific transaction process is completed collaboratively by the AI agent and the user. For example, when purchasing Q coins, a test user can express their purchasing needs in the WorkBuddy chat window, and the AI agent will recommend and generate an order. When the order status shows 'in transaction' in the backend, the AI agent will invoke the AI payment tool to generate a confirmation link. After the user clicks the link, the WeChat payment confirmation page will appear on their mobile device, and the user must verify the amount and enter a password to complete the deduction.

WeChat Pay Tests AI Payment Feature with Dedicated AI Card

On June 5, Strive CEO Matt Cole stated that the sale of 32 Bitcoins by Strategy is a necessary transformation. 'The goal should be to maximize total returns. Saylor will be net buying Bitcoins every month in the future. Shareholders should be pleased with this, as it helps them achieve better long-term gains.'

[Strive CEO: Selling 32 Bitcoins is a Necessary Transformation]On June 5, Strive CEO Matt Cole stated that the sale of 32 Bitcoins by Strategy is a necessary transformation. 'The goal should be to maximize total returns. Saylor will be net buying Bitcoins every month in the future. Shareholders should be pleased with this, as it helps them achieve better long-term gains.'

Strive CEO: Selling 32 Bitcoins is a Necessary Transformation

On June 5, the China Academy of Information and Communications Technology (CAICT) recently led the submission of two standard proposals, titled "Service Framework for AI in Broadband" and "Service Requirements for AI Agents in Broadband Networks," in collaboration with over ten domestic and international telecom operators, equipment manufacturers, and research institutions, including China Unicom, China Mobile, Vodafone, and Huawei. These proposals were officially approved at the Broadband Forum's Spring 2026 Member Meeting. This marks a significant advancement in the international standardization efforts in the integration of artificial intelligence and broadband networks in China.

[China's CAICT Leads Two International AI Broadband Standards Projects]On June 5, the China Academy of Information and Communications Technology (CAICT) recently led the submission of two standard proposals, titled "Service Framework for AI in Broadband" and "Service Requirements for AI Agents in Broadband Networks," in collaboration with over ten domestic and international telecom operators, equipment manufacturers, and research institutions, including China Unicom, China Mobile, Vodafone, and Huawei. These proposals were officially approved at the Broadband Forum's Spring 2026 Member Meeting. This marks a significant advancement in the international standardization efforts in the integration of artificial intelligence and broadband networks in China.

China's CAICT Leads Two International AI Broadband Standards Projects

On June 5, the Hong Kong Monetary Authority announced that Hong Kong's official foreign exchange reserves amounted to $446.5 billion at the end of May 2026, up from $442.1 billion at the end of April 2026. This is more than five times the currency in circulation in Hong Kong, or about 38% of the Hong Kong dollar money supply M3.

[Hong Kong's Official Foreign Exchange Reserves Increased by $4.4 Billion at the End of May]On June 5, the Hong Kong Monetary Authority announced that Hong Kong's official foreign exchange reserves amounted to $446.5 billion at the end of May 2026, up from $442.1 billion at the end of April 2026. This is more than five times the currency in circulation in Hong Kong, or about 38% of the Hong Kong dollar money supply M3.

Hong Kong's Official Foreign Exchange Reserves Increased by $4.4 Billion at the End of May

On June 5, the onshore RMB against the USD closed at 6.7712, an increase of 56 points compared to the previous trading day.

[Onshore RMB Against USD Closes at 6.7712]On June 5, the onshore RMB against the USD closed at 6.7712, an increase of 56 points compared to the previous trading day.

Onshore RMB Against USD Closes at 6.7712

According to monitoring by Beating, Cloudflare has announced the acquisition of VoidZero, which was founded by Evan You, the creator of Vue and Vite. The entire team has joined Cloudflare. The official commitment is that open-source tools such as Vite, Vitest, Rolldown, and Oxc will remain open-source and vendor-neutral, with a $1 million Vite ecosystem fund established to support contributors. Vite currently sees a weekly download volume of 129 million. Among these, the official Cloudflare Vite plugin (@cloudflare/vite-plugin) has nearly 14 million weekly downloads, accounting for 10.8%. The growth in data is primarily driven by the popularity of AI-generated code. Applications generated by AI typically default to using the Vite template, and agents prefer the Cloudflare platform for deployment, prompting a deep integration of the toolchain between the two. Cloudflare plans to align its development tools closely with Vite. The new command-line tool cf (cf CLI) is built on the Vite architecture, with cf dev serving as a superset of vite dev functionalities. When developers run locally, they can directly invoke edge services such as Durable Objects, D1, and R2 in the workerd simulation environment without needing cloud-side debugging. Vite will evolve towards being full-stack and agent-friendly. Prior to the acquisition, VoidZero had tested the deployment platform Void, attempting to unify rendering routes, APIs, background tasks, and storage into a single toolchain. Cloudflare plans to transform the exploration results into neutral primitives and hooks for Vite and has committed to open-sourcing the Void platform in the future, allowing other vendors to build platforms based on Vite and Cloudflare.

[Cloudflare Acquires VoidZero Founded by Evan You, Commits to Keeping Vite Independent and Neutral]According to monitoring by Beating, Cloudflare has announced the acquisition of VoidZero, which was founded by Evan You, the creator of Vue and Vite. The entire team has joined Cloudflare. The official commitment is that open-source tools such as Vite, Vitest, Rolldown, and Oxc will remain open-source and vendor-neutral, with a $1 million Vite ecosystem fund established to support contributors. Vite currently sees a weekly download volume of 129 million. Among these, the official Cloudflare Vite plugin (@cloudflare/vite-plugin) has nearly 14 million weekly downloads, accounting for 10.8%. The growth in data is primarily driven by the popularity of AI-generated code. Applications generated by AI typically default to using the Vite template, and agents prefer the Cloudflare platform for deployment, prompting a deep integration of the toolchain between the two. Cloudflare plans to align its development tools closely with Vite. The new command-line tool cf (cf CLI) is built on the Vite architecture, with cf dev serving as a superset of vite dev functionalities. When developers run locally, they can directly invoke edge services such as Durable Objects, D1, and R2 in the workerd simulation environment without needing cloud-side debugging. Vite will evolve towards being full-stack and agent-friendly. Prior to the acquisition, VoidZero had tested the deployment platform Void, attempting to unify rendering routes, APIs, background tasks, and storage into a single toolchain. Cloudflare plans to transform the exploration results into neutral primitives and hooks for Vite and has committed to open-sourcing the Void platform in the future, allowing other vendors to build platforms based on Vite and Cloudflare.

Cloudflare Acquires VoidZero Founded by Evan You, Commits to Keeping Vite Independent and Neutral

On June 5, Billions announced that its identity verification product, Human Pass, built on Proof of Uniqueness technology, will soon be available on Discord, providing a trustworthy and privacy-friendly real-user verification infrastructure for online communities. With the rapid growth of AI and automated accounts, community size can no longer directly reflect genuine user engagement. Human Pass aims to help Discord communities identify real and unique human members, establishing a higher quality interaction environment while ensuring privacy. It also provides a reliable human identity layer for scenarios such as reward distribution, community governance, member access, and exclusive rights. After verification, users will receive a Human Pass identity badge to prove they are real and unique human individuals, not bots or mass-created accounts. The solution employs privacy protection technologies like zero-knowledge proofs, ensuring that personal data is not stored and facial images are not retained, thus balancing identity verification with privacy protection. Billions stated that Human Pass will first be available to the Discord community, further advancing the internet's evolution from an 'account network' to a 'human network,' building a trustworthy infrastructure for human participation in the next generation of digital communities.

[Billions Launches Human Pass for Discord Real-User Verification]On June 5, Billions announced that its identity verification product, Human Pass, built on Proof of Uniqueness technology, will soon be available on Discord, providing a trustworthy and privacy-friendly real-user verification infrastructure for online communities. With the rapid growth of AI and automated accounts, community size can no longer directly reflect genuine user engagement. Human Pass aims to help Discord communities identify real and unique human members, establishing a higher quality interaction environment while ensuring privacy. It also provides a reliable human identity layer for scenarios such as reward distribution, community governance, member access, and exclusive rights. After verification, users will receive a Human Pass identity badge to prove they are real and unique human individuals, not bots or mass-created accounts. The solution employs privacy protection technologies like zero-knowledge proofs, ensuring that personal data is not stored and facial images are not retained, thus balancing identity verification with privacy protection. Billions stated that Human Pass will first be available to the Discord community, further advancing the internet's evolution from an 'account network' to a 'human network,' building a trustworthy infrastructure for human participation in the next generation of digital communities.

Billions Launches Human Pass for Discord Real-User Verification

On June 5, according to Saudi Arabia's Al Arabiya television, Iran has informed Pakistan that it accepts the transfer of part of its uranium stock to a third country approved by Iran.

[Iran Notifies Pakistan of Acceptance to Transfer Part of Uranium Stock to a Third Country]On June 5, according to Saudi Arabia's Al Arabiya television, Iran has informed Pakistan that it accepts the transfer of part of its uranium stock to a third country approved by Iran.

Iran Notifies Pakistan of Acceptance to Transfer Part of Uranium Stock to a Third Country

According to monitoring by Beating, Google DeepMind has released the open-source real-time music generation model Magenta RealTime 2 (abbreviated as MRT2). The new model is optimized for Apple’s M-series chips in MacBooks, supporting ultra-low latency operation locally. Users can perform and control the model as an instrument in real-time with latency under 200 milliseconds using MIDI signals, text prompts, or audio snippets. Musicians can guide music generation through various interactive methods. In MIDI-guided mode, the accompaniment system automatically generates orchestral combinations based on the chords played by the performer. In text-to-synth mode, users can input style descriptions like 'disco funk' to generate playable MIDI instruments. In audio cloning mode, users simply drag in a short audio sample, and the system can simulate the corresponding timbre. The sound generation process also supports dynamic modulation through low-frequency oscillators, MIDI controllers, or even camera inputs, providing rich interactive dimensions for real-time sound design. To meet the needs of different hardware configurations, the development team has released two versions with different parameter specifications. The mrt2_small version with 230 million parameters can achieve smooth real-time inference on all Apple chip computers, including the MacBook Air, while the mrt2_base version with 2.4 billion parameters offers higher sound quality but requires higher-end M-series Pro or Max chips to ensure real-time audio stream synthesis. Currently, the inference library magenta-rt and the C++-based inference engine magentart::core have both been open-sourced on GitHub, and the official team has also provided a standalone application and digital audio workstation (DAW) plugin that can run directly on macOS.

[Google Releases Music Model Magenta RealTime 2 with Local Latency Under 200ms for Mac]According to monitoring by Beating, Google DeepMind has released the open-source real-time music generation model Magenta RealTime 2 (abbreviated as MRT2). The new model is optimized for Apple’s M-series chips in MacBooks, supporting ultra-low latency operation locally. Users can perform and control the model as an instrument in real-time with latency under 200 milliseconds using MIDI signals, text prompts, or audio snippets. Musicians can guide music generation through various interactive methods. In MIDI-guided mode, the accompaniment system automatically generates orchestral combinations based on the chords played by the performer. In text-to-synth mode, users can input style descriptions like 'disco funk' to generate playable MIDI instruments. In audio cloning mode, users simply drag in a short audio sample, and the system can simulate the corresponding timbre. The sound generation process also supports dynamic modulation through low-frequency oscillators, MIDI controllers, or even camera inputs, providing rich interactive dimensions for real-time sound design. To meet the needs of different hardware configurations, the development team has released two versions with different parameter specifications. The mrt2_small version with 230 million parameters can achieve smooth real-time inference on all Apple chip computers, including the MacBook Air, while the mrt2_base version with 2.4 billion parameters offers higher sound quality but requires higher-end M-series Pro or Max chips to ensure real-time audio stream synthesis. Currently, the inference library magenta-rt and the C++-based inference engine magentart::core have both been open-sourced on GitHub, and the official team has also provided a standalone application and digital audio workstation (DAW) plugin that can run directly on macOS.

Google Releases Music Model Magenta RealTime 2 with Local Latency Under 200ms for Mac

Federal Reserve official Daly stated that the productivity gains brought by artificial intelligence have not yet been reflected in the data.

[Fed's Daly: Productivity Gains from AI Not Yet Reflected in Data]Federal Reserve official Daly stated that the productivity gains brought by artificial intelligence have not yet been reflected in the data.

Fed's Daly: Productivity Gains from AI Not Yet Reflected in Data

VVV Surges Over 10x This Year, Is the Base Ecosystem the Last Hope for Crypto AI?

Bitcoin Correction Pushes 580,000 BTC Into Loss Territory

One Article Deconstructs the Investment Methodology of 'Stock God Serenity'

Deconstructing the Investment Methodology of the 'Stock God Serenity' in One Article

Sharplink CEO: Ethereum's Future Is Playing Out Now

Kalshi and Coinbase Receive CFTC Approval, Ushering in the Most Regulation-Friendly Era for the Crypto Industry?

Weekly Token Unlocks: HYPE Unlocks $650M Worth of Tokens

A $300 Used Mining Rig Mined a $230,000 Bitcoin Block

Over $1 Billion in Cryptocurrencies Forced to Liquidate, Bitcoin Plunges 6% Below $67,000

Bulls Approach the Ceiling

Article

Goldman Sachs: SpaceX AI Revenue Expected to Increase 100-Fold by 2030

Fed's Daly: Productivity Gains from AI Not Yet Reflected in Data

Clause de non-responsabilité：Le contenu ci-dessus ne représente pas les positions de HTX.，HTX ne fournit pas de recommandations de trading.。

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