# Ecosystem Related Articles

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

Blocked Its Own Treasure, WeChat AI Steps Up

Tencent's stock surged over 10% on June 2nd amid reports that WeChat, with 1.43 billion monthly users, is finalizing tests for a native AI Agent. The reported feature, accessible by swiping right from the main interface, allows users to issue commands in natural language. The AI then decomposes tasks and automatically calls upon relevant Mini Programs within WeChat to complete actions like ordering food, booking tickets, or making payments, creating a closed-loop service execution system. This strategic shift follows the internal conflict and subsequent "blocking" of Tencent's standalone AI app, Yuanbao, by WeChat for violating sharing rules during a 2026 Spring Festival promotion. The incident highlighted a lack of internal consensus and exposed the weakness of competing in the standalone AI assistant arena against rivals like ByteDance's Doubao (345M MAU) and Alibaba's Qianwen. The new WeChat AI Agent aims to leverage WeChat's unique assets—its massive user base, standardized Mini Program APIs, WeChat Pay, and identity system—to move from simple content generation to actual task execution. Analysts note this changes the competitive landscape from model benchmarks to which AI can connect to more real-world services. However, success depends on key variables: the capability of Tencent's underlying Hunyuan model, managing massive inference costs, and redesigning incentives for Mini Program developers whose traffic might be bypassed. The move is seen as an attempt to keep user service intent within WeChat's ecosystem as AI begins to redefine how users access services.

marsbit06/04 05:11

Blocked Its Own Treasure, WeChat AI Steps Up

marsbit06/04 05:11

Hoskinson Warns Of Cardano ‘Wave of Failures’ After TapTools Shutdown

Cardano founder Charles Hoskinson warns the ecosystem could face a "wave of failures" following the shutdown announcement of data and analytics platform TapTools. Citing leadership departures and unsustainable platform economics, TapTools is winding down operations despite serving over a million users. Hoskinson framed this not as an isolated incident but as a symptom of broader funding, coordination, and incentive problems within Cardano. He predicts more project failures in the second half of the year due to difficult market conditions. Hoskinson expressed frustration that proposed solutions, like a sovereign wealth fund or strategic acquisitions, have failed to gain sufficient support or faced criticism for centralization. He emphasized his lack of unilateral control over Cardano's governance, treasury, or direction, shifting responsibility to DReps and delegators to choose a clear growth strategy. The livestream concluded with a critique of Cardano's political culture and a discussion of potential extreme measures, including governance reform or even a new chain, if the current structure cannot support builders.

bitcoinist06/03 18:02

Hoskinson Warns Of Cardano ‘Wave of Failures’ After TapTools Shutdown

bitcoinist06/03 18:02

Tencent, Alibaba, ByteDance in a Battle for the Skill Store

Skill is becoming a key concept in the AI field, essentially serving as a structured "instruction manual" for AI Agents that specifies tool calls, decision logic, and output standards. This allows Agents to execute predefined tasks. As the number of Skills grows, distribution platforms have emerged. Major tech companies are swiftly entering this space. In March, Tencent, Alibaba, and ByteDance launched Skill stores within their respective Agent platforms. Subsequently, players like Zhipu AI, Meituan, and Xiaohongshu joined the fray. This competition for the "Skill store" is fundamentally a battle for the AI-era user entry point; whoever controls distribution controls the users. While ByteDance's Coze has experimented with paid Skills, most platforms offer them for free. The real value lies not in the stores themselves but in using them to attract and retain users within an ecosystem, driving revenue from services like cloud computing, model calls, or advertising. The landscape features three main player types: 1) **Internet giants** (e.g., Alibaba, ByteDance, Tencent, Meituan), leveraging Skills to drive traffic and monetize through their broader ecosystems (cloud services, transactions, ads). 2) **Large model companies** (e.g., Zhipu AI, Moonshot AI), using Skill stores to increase user engagement and monetize model API calls. 3) **Content platforms** (e.g., Xiaohongshu), treating Skills as a new content format to generate traffic and ad revenue. However, transforming Skill stores into a sustainable business faces significant hurdles. Key challenges include: the **difficulty in pricing Skills** due to inconsistent outputs across different models and contexts; **lack of cost transparency** (varying token consumption); **security risks** like Skill poisoning; and the **absence of standardized protocols** for development and evaluation. Unlike standardized mobile apps, Skills are often personalized workflows resistant to uniformity, which hinders the establishment of a reliable review and monetization system akin to the App Store. While there is genuine user demand for paid Skills—particularly in enterprise (e.g., contract review) and certain personal productivity scenarios—current platforms offer developers limited and unpredictable distribution. The future of Skill stores depends on overcoming these standardization, evaluation, and safety challenges to make acquiring a Skill as straightforward as downloading an app. For now, the stores function more as display shelves than robust marketplaces.

marsbit06/03 12:30

Tencent, Alibaba, ByteDance in a Battle for the Skill Store

marsbit06/03 12:30

Solana Takes Aim At Hyperliquid With Push For Fully Onchain Perps

The Solana Foundation has announced a new initiative to actively support teams building fully onchain perpetual futures (perps) on Solana. This move directly challenges the current market structure, exemplified by platforms like Hyperliquid, where much of the derivatives volume still relies on centralized exchanges or hybrid models with offchain components. Solana argues that its high-performance blockchain makes fully onchain perps viable without sacrificing speed or user experience, aiming to shift a lucrative trading segment entirely onchain. The Foundation seeks to back projects that prioritize onchain price discovery (like order books or RFQ systems) over pool-based models, require projects to be "Solana-first" with revenue routed back to the chain, and mandate open-source development. The support includes distribution, technical assistance, and capital for core perps protocols as well as complementary infrastructure.

bitcoinist06/02 17:27

Solana Takes Aim At Hyperliquid With Push For Fully Onchain Perps

bitcoinist06/02 17:27

Nvidia, AMD, Qualcomm CEOs Gather in Taipei: Whether Your Chips Can Sell Is Decided by Taiwanese Assembly Plants

**Summary:** The buzz around this year’s Computex in Taipei isn't just about flashy keynotes from top CEOs like Jensen Huang (Nvidia), Lisa Su (AMD), and Cristiano Amon (Qualcomm). The real story lies in Taiwan’s hardware ecosystem—the often-overlooked manufacturers of modules, cooling systems, and assembly lines who hold decisive power over which chips succeed or fail. While brands like Dell, HP, and Lenovo set final product specs, it’s Taiwan’s engineers and suppliers who make early, critical decisions during development. If a module maker declines to design around a new chip, or an assembler won’t integrate it, that component can be effectively dead before reaching the market. This bottom-up dynamic defines the industry’s pace: fast, collaborative, and ruthlessly pragmatic. Computex remains the world’s premier computer expo, but its true value is offstage—in private meetings, small forums, and factory visits where relationships are forged and supply-chain hurdles are solved. For global tech leaders, showing up in Taipei isn’t about spectacle; it’s about paying respect to the engineers who turn silicon into sellable systems.

marsbit06/02 04:30

Nvidia, AMD, Qualcomm CEOs Gather in Taipei: Whether Your Chips Can Sell Is Decided by Taiwanese Assembly Plants

marsbit06/02 04:30

From Suppliers to Shareholders: The Big Three Memory Chip Giants Jointly Invest in Anthropic, AI Supply Chain Power Structure Undergoing Reshuffle

For the first time, memory chip giants Micron, Samsung, and SK hynix have jointly invested in the same AI company, Anthropic, as part of its massive $65 billion Series H funding round. This strategic move, positioning the three rival HBM suppliers as "strategic infrastructure partners," highlights a fundamental shift in the AI industry's power dynamics. With HBM (High Bandwidth Memory) being a critically scarce resource essential for AI model training and inference, securing a stable supply has become a key competitive differentiator. By making these chipmakers shareholders, Anthropic aims to lock in this vital component for its rapid expansion, which includes securing major compute commitments from Amazon, Google, and others. For the memory trio, this investment represents a strategic bet on defining the future of AI hardware. Each company gains: SK hynix reinforces its dominant position in the NVIDIA supply chain; Samsung diversifies its client base beyond NVIDIA; and Micron leverages its geopolitical significance as the sole US-based HBM maker. Their collective move signals that competition in AI is evolving beyond model capability to encompass control over the entire compute supply chain—from chips and memory to power and networking. This vertical integration trend, where infrastructure providers become direct stakeholders in AI firms, marks the industry's maturation as AI transforms from a research project into essential global infrastructure, setting the stage for a new era of ecosystem competition.

marsbit05/30 04:40

From Suppliers to Shareholders: The Big Three Memory Chip Giants Jointly Invest in Anthropic, AI Supply Chain Power Structure Undergoing Reshuffle

marsbit05/30 04:40

Cardano (ADA) Ecosystem Growth Fuels Strong Increase In Staking Activity

Investors' confidence in Cardano (ADA) is rising sharply, especially in staking, despite price downside pressure. Staking activity has accelerated significantly, with over 21.75 billion ADA (nearly 58% of the total supply) now staked. This high level of participation secures the network and reflects strong long-term conviction within the community. According to infrastructure provider Everstake, this trend coincides with Cardano's ecosystem growth and signals confidence in its future. Additionally, on-chain data reveals renewed accumulation by large investors (whales). Wallets holding at least 1 million ADA now collectively control over 25.11 billion ADA, representing 67% of the supply—its highest level since July 2020. Analytics platform Santiment notes that such accumulation by key stakeholders is generally a bullish long-term indicator of confidence.

bitcoinist05/29 23:32

Cardano (ADA) Ecosystem Growth Fuels Strong Increase In Staking Activity

bitcoinist05/29 23:32

VVV Skyrockets Over 1000% Year-to-Date, Is Base Ecosystem the Last Hope for Crypto AI?

VVV Surges Over 10x This Year: Is Base Ecosystem the Final Hope for Crypto AI? The AI wave continues, and within the crypto space, the Base ecosystem is emerging as a key hub for AI concepts. Beyond VVV's impressive 1076% yearly gain, other projects like Virtual and Clanker are making steady progress. Infrastructure for AI Agent payments, such as the x402 protocol, is developing, and platforms related to L1s, operating systems, wallets, and social networks for AI Agents are also appearing. Key projects highlighted include: - **VVV (Venice)**: The leading AI token on Base, it operates a dual-token model with compute token DIEM. Its price, supported by real revenue from the privacy-focused Venice AI platform, recently hit around $18 before settling near $16. - **VIRTUAL**: A top Base launchpad positioning itself as an AI Agent co-ownership layer. It supports token creation and monetization for autonomous AI Agents. - **Clanker**: An AI launchpad originating from Farcaster that allows token creation via social media posts. - **FAI (Freysa AI)**: An experiment in creating a "Sovereign AI Agent" that autonomously controls its crypto assets. - **ELSA**: An AI execution layer for DeFi, translating natural language into on-chain actions. - **WARD (Warden Protocol)**: A modular L1/OS for a decentralized "internet of agents." The summary also mentions the volatility of AI-themed meme coins on Base. While Base has become a notably active ecosystem for crypto AI, driven by AI Agent development and payment solutions, it remains uncertain whether it can fully realize the vision of an "on-chain AI world."

Odaily星球日报05/29 11:09

VVV Skyrockets Over 1000% Year-to-Date, Is Base Ecosystem the Last Hope for Crypto AI?

Odaily星球日报05/29 11:09

Solana App Economy Sees Significant Upside Momentum As Cumulative Revenue Surges

Despite bearish price pressure, the Solana network is experiencing significant growth in ecosystem activity. Cumulative app revenue has surged to approximately $4 billion, a rise of over $1.17 billion in the past year, signaling strong user engagement and monetization across DeFi, gaming, and trading services. The ecosystem is expanding rapidly, with Solana consistently creating opportunities at scale. It has recently surpassed Ethereum in month-to-date DEX volume ($36.87B vs. $31.59B), demonstrating strength in key areas like usage and speed. Furthermore, active loans on Solana have doubled year-over-year, now representing 10% ($2.1B) of the total on-chain active loans market, positioning it second only to Ethereum and indicating a potential shift towards its perceived security and utility.

bitcoinist05/29 02:31

Solana App Economy Sees Significant Upside Momentum As Cumulative Revenue Surges

bitcoinist05/29 02:31

Agentized OS: It's Not About AI, It's About the Foundation

The Agentic OS: Beyond AI, It's About the Foundational Stack In 2026, major operating systems like Android, iOS, HarmonyOS, and Windows are entering the "Agentic" era, integrating proactive AI assistants deeply into the system layer. However, the real competition lies not in the flashy AI features showcased at events, but in the three-layer foundational stack that enables them: the system-level AI Runtime, proprietary/controllable chips, and the on-device/cloud model matrix. The AI Runtime acts as the central scheduler, managing model inference, resource allocation, and exposing capabilities to apps. Controllable chips (e.g., Apple Silicon, Google Tensor, Huawei Kirin) are crucial for deep hardware-software co-optimization, determining the efficiency and experience limits of on-device Agents. The on-device/cloud model matrix provides the "intelligence," with proprietary, chip-optimized small models (like Gemini Nano, Apple's ~3B model) handling daily tasks locally for low latency, privacy, and reliability, while cloud models tackle complex requests. Deep synergy between these three layers enables key Agent differentiators: ultra-low latency and power efficiency, genuine "on-device first" privacy, access to system-level personal context across apps, and reliable performance as a system service even offline. OS vendors with strong integration across this stack (like Apple, Google, and Huawei) build a deeper moat. Beyond this core stack, long-term competitiveness depends on variables like structured App integration (e.g., App Intents/AppFunctions) for reliable multi-step workflows, and robust privacy frameworks that build user trust. This shift towards Agentic OS extends beyond phones and PCs to IoT, cars, and XR glasses via existing multi-device ecosystems. The race is won not in a keynote, but through generations of meticulously co-developed chips, models, and system software.

marsbit05/27 10:19