# Tencent Related Articles

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

More and More 'Model Supermarkets' Are Opening: ByteDance, Alibaba, and Tencent Compete to Integrate

Chinese tech giants like ByteDance, Alibaba, and Tencent are accelerating the rollout of integrated AI model subscription services—dubbed “model supermarkets”—to provide developers with bundled access to multiple leading domestic large language models (LLMs). ByteDance’s Volcengine recently upgraded its "Coding Plan" by adding newer models like GLM-5.1, Minimax M2.7, and Kimi k2.6, allowing subscribers to use various top models under a single monthly fee starting at ¥40. However, user feedback reveals significant issues, including rapid consumption of usage limits (e.g., hitting caps within hours), frequent server errors (like HTTP 429), and slow response times during peak hours. Complaints about misleading deduction rates—where calls to advanced models consume more quota—are also common. The trend is industry-wide: Alibaba, Tencent, and Baidu have all launched similar multi-model coding plans. While these platforms reduce trial costs for developers, they also expose challenges in balancing affordability with service quality and computational stability. Amid this shift, independent AI companies like Zhipu, MiniMax, and Moonlight Face (Kimi) are developing strategies to avoid becoming mere “pipes” in this ecosystem—focusing on vertical applications, autonomous agents, and long-context models to retain competitiveness. Analysts suggest that, while platform aggregation may pressure model firms in the short term, specialized and vertical AI capabilities will remain differentiated in the long run.

marsbit2 days ago 04:07

More and More 'Model Supermarkets' Are Opening: ByteDance, Alibaba, and Tencent Compete to Integrate

marsbit2 days ago 04:07

Yao Shunyu's 88 Days

Yao Shunyu, a 27-year-old AI expert with a background from Princeton and OpenAI, joined Tencent in September 2025. Within 88 days, he led a major overhaul of Tencent’s AI strategy and organization, resulting in the release of Hunyuan Hy3 preview—a MoE model with 295B total parameters and 21B active parameters, supporting up to 256K context length. The launch came after Tencent leadership, including CEO Ma Huateng and President Martin Lau, openly criticized Hunyuan's earlier underperformance—citing slow development, over-reliance on superficial benchmark optimization, and poor generalization in real-world applications. Internal adoption was low, with key business units like WeChat and gaming seeking external AI solutions. Yao reshaped Tencent’s AI approach by integrating previously siloed teams, dissolving the ten-year-old Tencent AI Lab, and establishing new units focused on AI infrastructure and data. Hy3 preview was developed using co-design principles, closely aligned with product teams to ensure practical usability from the start. It has already been integrated into core products like Yuanbao, QQ, and enterprise tools. The release signals a shift from chasing rankings to building usable, scalable AI grounded in Tencent’s ecosystem. While external partnerships (like with DeepSeek and OpenClaw) helped retain users temporarily, the focus is now on making Hunyuan a reliable internal foundation. The real test lies in sustaining this new organizational momentum amid fierce competition from Alibaba, DeepSeek, and others.

marsbit04/23 11:13

Yao Shunyu's 88 Days

marsbit04/23 11:13

20 Billion Valuation, Alibaba and Tencent Competing to Invest, Whose Money Will Liang Wenfeng Take?

DeepSeek, an AI startup founded by Liang Wenfeng, is reportedly in talks with Alibaba and Tencent for an external funding round that could value the company at over $20 billion. This marks a significant shift, as DeepSeek had previously relied solely on funding from its parent company,幻方量化 (Huanfang Quantitative), and had resisted external investment. The potential valuation would place DeepSeek among the top-tier AI model companies in China, comparable to competitors like MoonDark (valued at ~$18 billion) and ahead of recently listed firms like MiniMax and Zhipu. The funding—which could range from $600 million (for a 3% stake) to $2 billion (for 10%)—is seen as a move to secure resources for model development, retain talent, and support infrastructure needs, particularly as competition in inference models and AI agents intensifies. Both Alibaba and Tencent are eager to invest, not only for financial returns but also to integrate DeepSeek into their broader AI ecosystems. However, DeepSeek’s leadership is cautious about maintaining independence and may prefer financial investors over strategic ones to avoid being locked into a specific tech ecosystem. Alternative options, such as state-backed funds, offer longer-term capital and policy support but may come with slower decision-making and potential constraints on global expansion. With competing AI firms accelerating their IPO plans, DeepSeek’s window for securing optimal terms may be narrowing. The final decision will reflect a trade-off between capital, resources, and strategic independence.

marsbit04/23 09:53

20 Billion Valuation, Alibaba and Tencent Competing to Invest, Whose Money Will Liang Wenfeng Take?

marsbit04/23 09:53

From Tencent and Circle: Looking at the Easy and Hard Questions of Investment

The article contrasts the investment prospects of Tencent and Circle in the AI era, framing the decision as a choice between "easy" and "hard" problems, inspired by Charlie Munger's philosophy. Tencent's stock has declined despite strong earnings, as the market shifted from fearing insufficient AI investment to worrying about excessive spending. The author argues this pessimism is overdone. WeChat's nascent AI agent, Yuanbao, is seen as a prototype for a future, more powerful system-native agent. Crucially, this agent would have system-level permissions to seamlessly interact with the massive Mini Program ecosystem (housing apps like Meituan, Didi, etc.), making it a practical, usable product for billions. The author believes the high-probability success of this inevitable development makes investing in Tencent an "easy" decision that the market is currently overlooking. Conversely, Circle's recent rise is fueled by the AI narrative, specifically the belief that AI agents will require blockchain-based stablecoins for settlement, with USDC as the leading compliant option. The author deconstructs this bullish thesis, identifying high uncertainties in its core assumptions: whether AI transactions will *necessarily* use stablecoins (vs. other protocols like Google's UCP), USDC's ability to maintain its lead against competitors like Tether or PayPal, and whether stablecoins even possess strong network effects in an agent-dominated world where cost and friction are paramount. The compounding uncertainty makes investing in Circle a "hard" problem, riskier than market sentiment suggests. In summary, the author posits that Tencent presents a clear, high-probability opportunity (easy), while Circle's future is built on a chain of speculative assumptions (hard).

marsbit03/21 11:20

From Tencent and Circle: Looking at the Easy and Hard Questions of Investment

marsbit03/21 11:20

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

From 100,000 Losses to Tens of Red Envelopes: Why Are Crypto Enthusiasts Turning to 'Yuanbao Wool'?

Amidst a significant downturn in global financial markets and cryptocurrency prices in early February, many crypto traders, facing substantial losses, have turned to a seemingly more reliable source of small gains: the "Yuanbao Cash Redemption" event. This campaign by Yuanbao, backed by Tencent, offers cash红包 (red envelopes) typically ranging from a few to tens of RMB for simple tasks like referrals and product interactions, providing a psychological escape from market volatility. In contrast, the traditional crypto airdrop landscape has become increasingly fraught with risk and disappointment. The article highlights cases like Infinex, where users invested significant time and money (e.g., over $11,900 and 406 days of engagement) only to face heavy losses during token generation events, with some unable to even recoup costs. This has led to frustration, silent resignation, or even public维权 (rights protection) efforts. The core issue is framed as a shift in the purpose of airdrops: from rewarding early users to merely serving as a growth hack for project teams seeking exits or funding, often with unreliable token promises. Web2 companies like Tencent can offer cash rewards with certainty due to strong cash flow and legal frameworks, whereas Web3 airdrops often come with high costs (time, effort, capital), risks like sybil attacks, unlock periods, and rule changes, resulting in lower effective returns. Both Web2 and Web3 use airdrops for user acquisition, but long-term retention depends on product-market fit and user experience. While Yuanbao leverages Tencent's experience in converting user growth into retention (e.g., WeChat Red Packets), Web3 projects struggle post-airdrop, with many failing to sustain engagement. The conclusion emphasizes that beyond token incentives, Web3 must focus on product functionality and user value to achieve genuine retention.

比推02/04 13:27

From 100,000 Losses to Tens of Red Envelopes: Why Are Crypto Enthusiasts Turning to 'Yuanbao Wool'?

比推02/04 13:27

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