# Localization Related Articles

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

a16z Crypto: 9 Charts to Understand the Evolution of Stablecoins

Stablecoins are evolving from trading instruments to core financial infrastructure, driven by regulatory clarity and increased adoption. Key trends include accelerated growth following the U.S. GENIUS Act and the EU’s MiCA framework, which spurred non-USD stablecoin activity. Consumer-to-business transactions are growing fastest, doubling in 2025, while stablecoin card usage has surged. Velocity has nearly doubled since 2024, indicating active use rather than passive holding. Geographically, Asia dominates volume, led by Singapore, Hong Kong, and Japan. Notably, domestic transactions now account for nearly three-quarters of payments, highlighting stablecoins' role as local payment mediums on global infrastructure. Non-USD stablecoins, like Brazil’s BRLA, are also gaining traction. The data suggests stablecoins are becoming ubiquitous payment tools—global in design but increasingly local in practice.

marsbit04/25 09:25

a16z Crypto: 9 Charts to Understand the Evolution of Stablecoins

marsbit04/25 09:25

The DeepSeek You've Been Waiting For Has Long Changed

The article discusses the delayed release of DeepSeek V4, a highly anticipated AI model in China, and explores the reasons behind its slowed development. Initially a leader in the global AI race, DeepSeek has fallen behind competitors like OpenAI, Anthropic, and Google, which release major updates every few months. A key factor is DeepSeek's shift in focus due to national strategic priorities. In early 2025, the Chinese government encouraged the company to use Huawei’s Ascend processors instead of NVIDIA’s GPUs, aligning with broader efforts to achieve technological self-reliance. DeepSeek attempted to train its models on Huawei’s Ascend 910C chips but faced technical challenges, including instability and communication issues during distributed training. As a result, the company continued using NVIDIA hardware for training while only using Ascend chips for inference. In 2026, DeepSeek prioritized adapting V4 to Huawei’s new Ascend 950PR and Cambricon chips, aiming for a full migration from NVIDIA’s CUDA to Huawei’s CANN framework. This adaptation process, particularly ensuring precision alignment across hardware, consumed significant time and resources, slowing down model iteration. The delay also reflects DeepSeek’s evolving role from a purely market-driven entity to a "national mission-oriented" company. This shift has come at a cost: the model now lags behind competitors in areas like code generation and multimodal capabilities, and the company has faced talent drain, with key researchers leaving for better-paying opportunities at larger tech firms. Despite these challenges, V4’s release is seen as a potential milestone for China’s AI industry, demonstrating that advanced models can run on domestic hardware ecosystems. While it may not be a groundbreaking model in terms of performance, its success could validate China’s broader strategy for AI independence.

marsbit04/15 10:32

The DeepSeek You've Been Waiting For Has Long Changed

marsbit04/15 10:32

Xianyu, the OpenClaw More Suited for Chinese Users

The article "Xianyu: The OpenClaw More Suited for Chinese Users" argues that while OpenClaw (a hypothetical AI agent) has generated significant buzz for enabling AI to perform digital tasks, the Chinese second-hand marketplace Xianyu serves as a more practical and "localized" alternative for many. The author contrasts OpenClaw's high computational costs (token consumption) and complex setup with Xianyu's extremely low-cost, human-powered services. On Xianyu, users can find people to perform a vast array of tasks—from booking hotels and buying tickets to AI subscriptions, hiring help, and even matchmaking—often at a fraction of the cost of using an AI. The platform is portrayed as a massive, flexible ecosystem where unconventional supply meets niche demand, creating a parallel economy with over 200 million monthly active users. The piece draws parallels between the two platforms: OpenClaw acts as a leverage tool using AI and tokens, while Xianyu leverages cheap and abundant human labor. Both systems facilitate a form of arbitrage—OpenClaw with digital tokens, and Xianyu through bilateral transactions between buyers and sellers. Ultimately, the article suggests that for China, with its specific socio-economic context and different attitude towards privacy, Xianyu's human-network-based model is a more effective and accessible "agent" platform than an AI-driven solution like OpenClaw.

marsbit04/07 06:12

Xianyu, the OpenClaw More Suited for Chinese Users

marsbit04/07 06:12

Xianyu, the OpenClaw More Suited for Chinese Users

This article argues that while OpenClaw (a fictional AI agent) represents a global phenomenon by giving AI "hands and feet" to execute digital and physical tasks, the Chinese second-hand marketplace Xianyu is a more practical and "localized" alternative for most users in China. The author highlights that OpenClaw's operational costs, due to massive token consumption for API calls, are prohibitively high. In contrast, Xianyu offers a vast, low-cost human labor marketplace where services—from booking hotels and buying tickets to AI subscriptions and even matchmaking—are available at a fraction of the cost. The platform, with over 200 million monthly active users, has become a parallel economy filled with unconventional services and creative "sellers," often leveraging information asymmetry and extreme cost efficiency. It's described as a "dark web" for China, fulfilling niche demands with flexible supply. The piece draws a parallel between OpenClaw's token-based "AI leverage" and Xianyu's "human leverage," suggesting that in a market with abundant and cheap labor, a human-powered platform like Xianyu is a more effective and culturally adapted tool for task execution and resource allocation than an AI agent. The conclusion is that Xianyu, not OpenClaw, is the "more suitable OpenClaw for Chinese users."

Odaily星球日报04/07 06:03

Xianyu, the OpenClaw More Suited for Chinese Users

Odaily星球日报04/07 06:03

Renren Skill Officially Launched: An AI Skill Store Tailored for Chinese Users

RenrenSkill officially launched in China on March 27, 2026, as an AI skill store specifically designed for Chinese users. The platform enables both beginners and advanced users to easily access, use, and create custom AI skills without any technical background. It aims to make AI practical and accessible for everyday tasks in work, life, and learning. Tailored for the Chinese market, RenrenSkill offers a fully localized experience with a Chinese interface, natural language interaction, and region-specific content. It provides a wide range of ready-to-use skills for tasks like writing articles, processing spreadsheets, generating video scripts, and travel planning. The platform also includes a community-driven skill store where users can browse, install, and rate skills across categories such as office productivity, content creation, and education. A key feature is its user-friendly skill creation tool, allowing anyone to build and publish their own AI skills. The platform supports community interaction through forums and tutorials, fostering a collaborative environment. Future plans include skill bundles for specific use cases and a monetization system for creators. RenrenSkill is now in public beta and available at rrskill.ai.

marsbit03/27 04:16

Renren Skill Officially Launched: An AI Skill Store Tailored for Chinese Users

marsbit03/27 04:16

Lobsters Not Yet Grown, Giants Already Casting Nets: OpenClaw Ecosystem Faces Enclosure Crisis

The article discusses the controversy surrounding Chinese tech giant Tencent's launch of SkillHub, a localized platform for the OpenClaw ecosystem. OpenClaw founder Peter Steinberger publicly accused Tencent of copying the project without providing support, specifically criticizing its impact on official download statistics. Tencent responded that SkillHub is a mirror site designed to serve Chinese users, citing reduced bandwidth strain on the official source and offering sponsorship. Steinberger countered that the core issue was not technical but a lack of prior communication and the risk of Tencent controlling user access and data. The author argues that the incident reflects a broader pattern of major Chinese tech companies exploiting open-source ecosystems for market dominance. While mirror sites are common in China, Tencent’s move is seen as an attempt to capture the user entry point and potential future commercialization of the Agent-based AI ecosystem represented by OpenClaw. The article warns that such platforms, under the guise of localization and convenience, may eventually lead to walled gardens where Tencent controls distribution, visibility, and monetization—echoing past strategies in sectors like ride-hailing and short-video platforms. The piece concludes that OpenClaw’s open, community-driven vision is at risk of being co-opted by corporate interests before it fully matures.

比推03/13 12:32

Lobsters Not Yet Grown, Giants Already Casting Nets: OpenClaw Ecosystem Faces Enclosure Crisis

比推03/13 12:32

Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

OpenClaw founder Peter Steinberger publicly criticized Tencent for creating SkillHub, a localized platform mirroring OpenClaw, accusing the tech giant of copying without supporting the project. Tencent responded by clarifying that SkillHub acts as a local mirror site, properly attributing OpenClaw as the data source and reducing bandwidth strain on the origin server by processing significant traffic locally. It also expressed willingness to become a sponsor. However, Steinberger remained unsatisfied, emphasizing that the core issue was not technical but ethical—Tencent failed to communicate beforehand. The dispute highlights deeper concerns about big tech’s approach to open-source ecosystems: while mirroring is common and often legal under open-source licenses, Tencent’s move is seen as an attempt to control user access, distribution channels, and future commercial influence within the AI agent ecosystem. The incident reflects a broader pattern in China’s internet industry, where major companies rapidly embrace emerging technologies like OpenClaw not purely for innovation, but to capture entry points, traffic, and platform dominance. By offering localized, convenient services, they risk enclosing open ecosystems within their own walled gardens—ultimately dictating which tools get visibility, monetization, and user adoption. As OpenClaw gains explosive popularity in China, the episode underscores a tension between open-source ideals and commercial strategies, where convenience may come at the cost of community autonomy and long-term openness.

Odaily星球日报03/13 07:13

Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

Odaily星球日报03/13 07:13

Predict Fun Acquires Probable: The Expansion Game of BNB Prediction Market

Predict Fun, a prediction market platform on BNB Chain, has officially acquired its former competitor Probable, marking a strategic consolidation within the BNB Chain prediction ecosystem. The merger combines Predict Fun’s capital-efficient model—featuring yield-generating mechanisms via integration with Venus Protocol—with Probable’s strong community-driven presence and expertise in the Chinese market. The acquisition aims to address key challenges in prediction markets, including capital inefficiency and lack of localization. Probable had demonstrated success in engaging Chinese users through culturally relevant events, though it also revealed limitations such as lower commercial value and reduced market diversity compared to global platforms like Polymarket. User migration from Probable to Predict Fun is underway, with incentives including double fee refunds and a tiered points conversion system. However, some users have raised concerns over points dilution due to differences in emission rates between the two platforms. Industry observers view the merger positively, noting that it consolidates liquidity, reduces internal competition, and strengthens BNB Chain’s position in the global prediction market landscape. The integrated platform is expected to focus on localized operations, expanded market categories, and improved liquidity. For users, strategies such as trading in high-liquidity markets, leveraging yield-bearing mechanisms, and exploring cross-platform arbitrage may offer lower-cost participation opportunities. The merger signifies the end of the “horse race” phase within BNB Chain’s prediction market and the beginning of a more unified growth strategy.

比推03/10 07:23

Predict Fun Acquires Probable: The Expansion Game of BNB Prediction Market

比推03/10 07:23

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