# AI Related Articles

HTX News Center provides the latest articles and in-depth analysis on "AI", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

Xiaohongshu's Second Voyage: Navigating Towards AI Since ChatGPT's emergence, Xiaohongshu's founder Mao Wenchao has been acutely aware of AI's potential threat, recognizing that the life advice people seek from chatbots overlaps directly with his platform's core business. Founded in 2013 as a PDF shopping guide for Chinese tourists, Xiaohongshu evolved into a massive community where millions share authentic, personal experiences—from product reviews to travel tips. This vast repository of "I've tried this" human judgment became its most valuable asset. However, the rise of AI, which delivers instant answers, challenges the very need for users to sift through numerous personal notes. Fearing its treasure trove of lived experience could become mere training data for others, Xiaohongshu is proactively adapting. In 2026, it established a dedicated AI division (Dots), launched RED Skill to turn user experiences into usable AI tools, and acquired the AI search product "Diandian." Its investments now extend to AI firms like MiniMax and hardware startups, moving upstream to address needs before they even become search queries. The platform's commercialization strategy is also evolving. With a newly acquired payment license and tools like the AIPS model to track consumer decision journeys, Xiaohongshu aims to seamlessly integrate recommendations with transactions, embedding commerce within AI-generated answers. Yet, a critical tension remains. While building smarter machines to organize and leverage its human experiences, Xiaohongshu must prevent AI from drowning out the authentic, flawed, and trustworthy "I've tried this" voices that built its community. Its core challenge is to harness AI's power without letting the map—the machine's perfect, synthesized answer—replace the territory of genuine human experience. This balance between technological advancement and preserving human trust defines its current journey and its future.

marsbit1h ago

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

marsbit1h ago

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

On June 15th, shares of Zhipu AI surged dramatically on the Hong Kong stock market, peaking at a 47.6% gain before closing 32.82% higher. This sharp increase was directly triggered by two recent industry events. On June 12th, Anthropic announced it was suspending global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, to comply with a U.S. government export control order. The next day, Zhipu AI announced it would open access to its latest open-source flagship model, GLM-5.2, under the permissive MIT license. The Anthropic incident highlighted a critical issue beyond raw model capability: the risk of sudden, unpredictable loss of access to advanced AI models, especially for developers and enterprises deeply integrated with them. This has shifted industry and market focus toward factors like stability, sustainable access, and controllability. Zhipu's move, promoting "frontier intelligence for all," positions its openly available model as a reliable and accessible alternative. The GLM-5.2 model emphasizes "Long Horizon Task" capabilities with a 1M context window, targeting complex, multi-step coding and engineering workflows where maintaining context is crucial. Analysts note this event exposes the risk of dependency on closed-source models subject to single jurisdictional controls, potentially accelerating a shift toward domestic base models and localized deployments. The market's reaction signals a new valuation dimension in AI: providers who can offer stable, long-term, and sustainably accessible AI capabilities are gaining strategic importance.

marsbit15h ago

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

marsbit15h ago

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

In May 2026, Alipay announced over 300 million AI payment transactions. Shortly after, WeChat opened its mini-programs for AI integration, sparking controversy by requiring developer source code access. This highlights their diverging approaches to AI integration. Alipay is testing "Project Treasure," an optional AI-native interface replacing traditional app grids with a conversational window. Users can command complex tasks (e.g., "book a ride and order coffee") handled end-to-end by AI. This shift follows an abandoned standalone AI app, focusing instead on enhancing its existing user base. For unmodified mini-programs, Alipay's AI uses "screen-reading" to simulate user interactions, bypassing the need for developer overhaul. It also introduced "Token Pay" for micro-transactions and "AI Wallets" for autonomous agent spending. WeChat, prioritizing its core social function, is taking an embedded approach. Its AI agent will operate within existing contexts like group chats and official accounts, assisting without a separate interface. To enable this, WeChat offers developers two paths: granting source code access for direct AI control ("Automatic Mode") or manually encapsulating services into standardized "Skills." Both place significant burden on developers. Key differences emerge in handling legacy services: WeChat demands developer cooperation (code or labor), while Alipay's screen-reading offers immediate, if potentially less stable, compatibility. Alipay's 3 billion AI transactions demonstrate user acceptance of AI-driven commercial actions. The divergent strategies may reshape mini-program ecosystems—Alipay passively "AI-fying" services, WeChat potentially favoring resource-rich developers—and set competing technical standards. Ultimately, the competition centers on where users entrust the command to "help me get things done."

marsbit15h ago

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

marsbit15h ago

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit16h ago

Apple Also Has to Pay Rent Now

marsbit16h ago

Blockchain has finally begun sailing toward the main channel after 18 years

After 18 years of development, blockchain technology is beginning to move from a specialized niche into mainstream adoption, according to a recent industry analysis. The shift is reflected in the changing strategies of major crypto venture capital firms, which are expanding their focus beyond pure "digital ownership" towards broader themes like "autonomy." The report highlights that leading VC firms like Variant, Paradigm, Haun Ventures, and YZi Labs are broadening their investment mandates to include not only crypto but also artificial intelligence (AI), robotics, biotech, and other frontier technologies. This reflects a recognition that the isolated "crypto investment" narrative is losing appeal to limited partners (LPs) as capital and attention increasingly flow toward AI and other high-growth tech sectors. A key emerging thesis is that blockchain's most significant future application may not be as a consumer-facing product, but as the underlying economic and settlement infrastructure for the AI era. As AI agents and autonomous systems become more prevalent, they will require programmable, global, and low-cost payment networks (like stablecoins), verifiable digital identities, and secure wallets to manage transactions and assets on behalf of users. The investment by stablecoin issuer Tether into robotics company NEURA, with plans to integrate its wallet technology, is cited as a prime example of this convergence. However, the article cautions that simply labeling projects as "AI + Crypto" is insufficient. True value lies in integrations where blockchain technology is essential—such as enabling machine-to-machine micropayments, verifiable data provenance for AI, or transparent governance for autonomous organizations—rather than being a superficial marketing add-on. In conclusion, while AI currently dominates the tech narrative and capital flows, it may ultimately create the real-world, high-frequency demand that the crypto industry has long sought. For crypto VCs and projects, the path forward is to position blockchain not as a competing sector, but as a critical foundational layer powering autonomy and economic activity in an AI-driven future.

链捕手17h ago

Blockchain has finally begun sailing toward the main channel after 18 years

链捕手17h ago

The 800V Voltage Standard Championed by Nvidia: Which Infrastructure Providers Stand to Benefit?

NVIDIA is actively promoting the 800VDC architecture as a key direction for its next-generation AI factories and high-power racks, particularly for the upcoming Rubin and Kyber platforms. The primary driver is the rapidly increasing power density of AI racks, with designs like GB200/GB300 NVL72 reaching 120-140kW and future systems potentially hitting 180-220kW. At such high power levels, traditional low-voltage power delivery becomes inefficient due to massive current, leading to significant copper use, cable bulk, heat, and power loss. The 800VDC standard aims to increase efficiency by transmitting power at higher voltage and lower current to the rack before stepping it down locally for GPUs. NVIDIA claims this can improve efficiency by up to 5%, reduce total cost of ownership (TCO) by up to 30%, and cut copper usage by approximately 45%. This shift redefines infrastructure roles, pushing power engineering to the forefront alongside GPU performance. Key beneficiaries and ecosystem partners highlighted include: 1. **Power Infrastructure Providers:** Companies like Vertiv, Schneider Electric, Delta Electronics (台达电), and Korean firms LS Electric and HD Hyundai Electric are involved in designing next-gen AI factory power distribution, rack power supplies, and backup systems. 2. **Power Semiconductors:** Suppliers of SiC/GaN devices, such as Infineon and STMicroelectronics, are better suited for high-voltage, high-efficiency conversion in this new architecture. 3. **Connectivity & Structure:** The focus shifts to high-reliability components like busbars, high-voltage connectors, and advanced PCBs that meet stricter insulation and safety requirements. 4. **Liquid Cooling & Rack ODM:** As power and heat density rise, liquid cooling becomes critical. Full-rack system integrators (e.g., Dell, Wiwynn, Wistron) must now demonstrate robust pre-delivery testing capabilities, including burn-in testing under full load, requiring significant power and cooling infrastructure in their factories. The transition is not immediate for all data centers but is targeted at high-density AI factories. NVIDIA’s 800VDC ecosystem is in a preparatory phase, with full-scale production expected to align with the 2027 launch of Kyber rack-scale systems. The investment thesis revolves around which companies can demonstrate proven product integration, customer validation, and reliable delivery of complete, high-power AI rack systems, making power, cooling, and testing capabilities new critical variables in the AI infrastructure value chain alongside GPUs.

marsbit17h ago

The 800V Voltage Standard Championed by Nvidia: Which Infrastructure Providers Stand to Benefit?

marsbit17h ago

More Popular Than SpaceX, Oversubscribed Over 6,586 Times, What's the Meme Power Behind Liuliu Mei (06658.HK)?

Liumeimei, a popular Chinese snack brand known as "Liuliumei" in China, listed on the Hong Kong Stock Exchange (stock code: 06658.HK). On its debut, the stock price surged dramatically, opening 116% above the issue price and peaking with gains over 190%. This surge is widely attributed not to its traditional consumer goods business, but to a "Meme stock" phenomenon. Its stock ticker abbreviation "LLM" coincidentally matches the acronym for "Large Language Model," the core technology of the ongoing AI boom. This association, coupled with a strong same-day performance by another AI-related stock, triggered a massive wave of speculative retail investment. The IPO itself saw extreme oversubscription in the public offering segment, exceeding 6,586 times, though retail investors were allocated only 10% of shares. Analysts and the article frame this event as part of a broader "stock Meme-ification" trend in global markets, where stocks can experience volatile price movements based on viral narratives, wordplay (like homophones or abbreviations), celebrity mentions, or fleeting social media attention—similar to dynamics seen in the cryptocurrency meme coin sector. Examples cited include the 2021 GameStop saga, stocks linked to political figures like Donald Trump, and other companies benefiting from AI hype or谐音梗 (homophone puns). While such trends can create significant short-term wealth for some, the article notes they also carry risks of market manipulation, "pump and dump" schemes, and investments detached from fundamental business value. The Liumeimei listing is presented as a prime example of how attention and internet culture are increasingly driving capital flows in modern financial markets.

marsbit17h ago

More Popular Than SpaceX, Oversubscribed Over 6,586 Times, What's the Meme Power Behind Liuliu Mei (06658.HK)?

marsbit17h ago

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