Search result of ZHIPU

Gate's Futures Stocks will officially launch live trading of TENCENT (TENCENT 00700.HK), MEITUAN (MEITUAN 03690.HK), XIAOMI (XIAOMI 01810.HK), KUAISHOU (KUAISHOU 01024.HK), XUNCE (XUNCE 03317.HK) and ZHIPU (ZhiPu 02513.HK) perpetual contract (USDT-M) at 06:00 (UTC) on April 13, 2026, supporting long and short positions with leverage from 1x to 20x. Leverage can be selected at the time of order placement.

This article starts by examining Meta and Manus, along with the public listings of Zhipu and MiniMax, to break down the criteria for AI products transitioning from interesting demos to meaningful deployment—shifting from specialized applications to general-purpose platforms.

It is reported that Gate's traditional asset category layout is comprehensive, covering the widest range on the entire network.

The author provides a comprehensive analysis of diverse investment approaches, spanning miHoYo, insurance capital, and manufacturing family offices. He frames the IPO as the beginning of the next competitive phase, not the ultimate goal. This perspective highlights the core nature of the industry: commercialization is still unclear, while R&D spending remains relentless.

In the first half of 2025, 58% of global venture capital flowed into AI, with giants like OpenAI dominating. This article provides a detailed analysis of funding trends, stage distribution, regional disparities, and regulatory expectations, while predicting the H2 outlook: a mix of bubbles and inflection points, where execution will determine the fate of AI startups. Essential reading for investors, entrepreneurs, and industry observers seeking in-depth insights.

Against the backdrop of rapid AI technological development, this article explores the core role of data in AI advancement and the economic challenges of data acquisition and processing. As the first modular AI data preprocessing layer, DIN proposes a decentralized solution based on blockchain, allowing users to participate in data validation and vectorization while earning rewards. The article also analyzes DIN's technological advantages, market potential, and capital support, and provides a detailed explanation of DIN's node selling model, including expected returns and payback period.

This report analyzes AI Agent development in Web2 and Web3. Web2 AI Agents focus on infrastructure and B2B services, while Web3 emphasizes model training and platform aggregation. Despite comprising only 8% of Web3 projects, AI Agents represent 23% of the AI sector's market cap, showing strong competitiveness. The report examines commercialization challenges and Web3-AI integration. It predicts AI's future will align with Web3 principles through model standardization and diverse applications.