Generated with sparks and insights from 44 sources

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Introduction

  • Event: The event where the investors of Moonshot and MiniMax sat together was WAVES 2024.

  • Participants: The investors included戴雨森 (ZhenFund), 黄云刚 (Source Code Capital), 韩锐 (Gaorong Capital), 陈昱 (Yunqi Partners), and 夏令 (Mingshi Capital).

  • Purpose: The seating arrangement aimed to promote peace and avoid tension among the investors.

  • Discussion Topics: The investors discussed their initial decisions to invest, the importance of young entrepreneurs, and the future of AI and AGI.

  • Key Insights: The conversation highlighted the early stage of the AI industry, the need for patience, and the importance of independent thinking in investment decisions.

Event Overview

  • Event: WAVES 2024, a summit organized by 36Kr.

  • Purpose: To bring together investors from leading AI companies Moonshot and MiniMax.

  • Seating Arrangement: Investors were seated together to promote peace and avoid tension.

  • Host: The event was hosted by Liu Jing, the editor-in-chief of 'Dark Waves'.

  • Date: The event took place in 2024.

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Key Participants

  • 戴雨森: Managing Partner at ZhenFund, investor in Moonshot.

  • 黄云刚: Managing Partner at Source Code Capital, investor in Moonshot.

  • 韩锐: Partner at Gaorong Capital, investor in Moonshot.

  • 陈昱: Partner at Yunqi Partners, investor in MiniMax.

  • 夏令: Partner at Mingshi Capital, investor in MiniMax.

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Discussion Highlights

  • Initial Decisions: Investors shared their reasons for investing in Moonshot and MiniMax.

  • Young Entrepreneurs: Emphasis on the importance of young talent in driving technological waves.

  • AGI and AI: Discussions on the future of Artificial General Intelligence and AI applications.

  • Industry Stage: Consensus that the AI industry is still in its early stages.

  • Investment Patience: Need for patience and independent thinking in AI investments.

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Investment Strategies

  • 戴雨森: Focus on young entrepreneurs and early-stage AI projects.

  • 陈昱: Emphasis on technical details and commercialization potential.

  • 韩锐: Importance of products that integrate into daily life.

  • 夏令: End-to-end data-driven approach from automotive to NLP and robotics.

  • 黄云刚: Deep understanding of product and user needs.

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Future of AI and AGI

  • Early Stage: AI industry is still in its nascent phase.

  • Patience Required: Investors need to be patient and have long-term vision.

  • Energy vs. Compute: Energy supply is a critical issue for data centers.

  • Product Integration: Successful AI products must integrate seamlessly into daily life.

  • Engineering Focus: Emphasis on engineering capabilities and practical applications.

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