# Сопутствующие статьи по теме Strategy

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Strategy", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

HTX Research Latest Report Deciphers OpenClaw: The Battle for Execution Entry and Huobi HTX's AI Strategic Path

HTX Research, the analytical arm of Huobi HTX, has released a report titled "From the Rise of OpenClaw: How AI Begins to Compete for the True Work Interface." The report analyzes the emerging trend of AI evolving from a conversational tool into an execution layer, using the rapid growth of the open-source project OpenClaw as a key example. OpenClaw is a personal AI assistant that operates on a user's local device. It receives tasks through messaging platforms like WhatsApp, Telegram, Slack, and others, and can execute actions by integrating with files, browsers, calendars, email, and terminals. This signifies a major shift: AI is moving beyond answering questions to actively performing tasks, competing for the "execution interface" of the digital age. The report identifies five converging trends enabling this shift: sufficient model capability for multi-step tasks, the high frequency of messaging apps as a natural interface, open-source distribution, self-hosted models addressing data privacy, and a strong market need for small teams to achieve more with fewer resources. It highlights a particular fit in the Chinese market, where many small and medium teams operate on message-driven platforms like WeCom and Feishu. Some Chinese cities have already begun offering support policies to foster an OpenClaw ecosystem. However, the report also outlines three major hurdles for such tools to become reliable infrastructure: security risks (noting recent malware incidents), the need for robust governance and auditing, and the necessity for industry-specific templates to move beyond early adopters. Complementing this analysis, the report details Huobi HTX's own AI strategy. Rather than building an execution layer, HTX is focusing on becoming a "platform service entrance and ecosystem connector." Its proprietary AINFT product aggregates major AI models (OpenAI, Anthropic, Google) into a single access point for users, with crypto-native features like TronLink wallet sign-ins and a pay-as-you-go model instead of subscriptions. HTX's competitive strategy is differentiated by its focus on integrating AI directly into its trading platform. Its "HTX AI Skills" currently cover spot and futures trading execution, with plans to expand into market analysis, intelligence, and a built-in assistant, aiming to create a closed loop for user experience. In conclusion, while the move of AI into the execution layer is still in its early stages with significant challenges ahead, the direction is clear. The next phase of AI competition will extend beyond model performance to encompass control of interfaces, permission governance, and skill ecosystems. Huobi HTX's early布局 in this area presents a notable case study for how crypto platforms can integrate AI as a core, operational asset.

marsbit03/24 06:21

HTX Research Latest Report Deciphers OpenClaw: The Battle for Execution Entry and Huobi HTX's AI Strategic Path

marsbit03/24 06:21

The Last Time I'll Talk About Backpack, and Also Discussing My Airdrop Farming Principles

The author outlines two primary approaches to airdrop farming (referred to as "撸毛"): a labor-intensive" method of mass participation in many projects, and their own "sniper" method. The sniper approach relies on a rigorous four-point checklist to filter projects and avoid "industrial garbage." The checklist evaluates: 1. **Team (People):** Founders must be intelligent, have strong execution skills, and be genuinely well-intentioned. This is assessed through their social media content and, if possible, personal interactions. 2. **Product (Product-Market Fit):** The product must have a clear market fit, be delivered competently, and the team must show a responsible attitude towards its quality, avoiding releases full of basic errors. 3. **Narrative (Story):** The project should operate in a promising, unproven narrative within Web3 that also aligns with major investment trends in Web2 (e.g., AI). 4. **Timing & Cost (Market Conditions):** Avoid participating when market sentiment is overly FOMO-driven and participation costs are high. If an opportunity causes hesitation, it's best to skip it, as overcrowded airdrops yield minimal or negative returns. Applying this framework, the author explains why they avoided heavily farming the Backpack exchange airdrop: * **Narrative:** They are skeptical of the "compliant CEX" narrative, questioning its unique selling point against giants like Binance and OKX. * **Product:** They criticize Backpack's frequent technical failures, rollbacks, and what they perceive as a lack of product development rigor, comparing it unfavorably to competitors like Hyperliquid. * **Timing & Cost:** The participation cost was high compared to zero-fee alternatives available at the time. The author concludes that Backpack lacks the technical and operational prowess of a serious exchange and views its token more as a "VC-backed meme coin" for secondary market speculation rather than a worthwhile airdrop target.

比推03/23 20:38

The Last Time I'll Talk About Backpack, and Also Discussing My Airdrop Farming Principles

比推03/23 20:38

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