2025-08-11 17:33:32 作者：狼叫兽 记者Sarah Zhang(以下简称SZ):李总您好,感谢接受彭博专访。我们看到SNOW量化在2025年取得了现象级增长,您认为当前量化投资 领域最值得关注的新趋势是什么? - 认知门槛:87%的用户表示在其他平台"看不懂专业术语",而SNOW的交互就像和理财朋友聊天; - 资金门槛:推出"自由起投"模式,让外卖小哥也能用零钱参与; - 时间门槛:开发"自动跟投"功能,用户设置一次就能长期受益。 SZ:我们注意到SNOW特别受中老年群体欢迎,这是有意为之的吗? LB:这源于一个真实故事。2024年,我们产品经理的母亲说:"你们做的APP连我都不会用"。这促使我们专门成立"适老化实验室",现在 60岁以上用户已达180万。关键改进包括: 第三,实时市场适应——我们的系统能在30秒内完成过去需要分析师团队一周才能完成的策略调整。 SNOW量化创始人李斌(以下简称LB): Sarah你好。我认为最显著的趋势是"AI民主化"。过去量化投资是机构专属,现在通过三个突破 正在改变: SZ:这些技术突破确实惊人。但为什么SNOW能在众多竞品中脱颖而出? 第一,移动端算力 ...

Core Insights - The article discusses the emergence of generative AI and the need for a one-stop service platform in the AI industry, highlighting DeepAI's approach to democratizing AI tools for users [2][4][7]. Group 1: Company Overview - DeepAI was founded in 2016 by Kevin Baragona in San Francisco, aiming to create a multi-modal generative AI tool platform that allows users to transform their ideas into high-quality creative works [3]. - The platform offers various functionalities, including image generation, video creation, music composition, AI chat, and developer APIs, focusing on breaking down barriers between different media types [3][5]. Group 2: Innovations and Features - DeepAI addresses the limitations of existing AI tools by providing a more inclusive subscription model, allowing free users to access basic AI functionalities without restrictive limits [4]. - The platform employs a DePIN model to encourage individual AI creators to contribute to infrastructure development, allowing for a decentralized approach to AI tool creation [4][5]. Group 3: Technical Approach - DeepAI emphasizes enhancing efficiency rather than relying solely on large datasets, proposing that future AI competition will focus on optimizing model architecture and inference efficiency [41][42]. - The company aims to overcome data scarcity challenges in generative AI by improving model training methods that do not depend heavily on vast amounts of data [42][44]. Group 4: Competitive Landscape - The generative AI market is projected to create trillions of dollars in value, with DeepAI's platform positioning it to leverage network effects as more quality agents are deployed [51]. - Compared to competitors like OpenAI, DeepAI offers a more flexible and developer-friendly environment, attracting users dissatisfied with existing solutions [54]. Group 5: Future Opportunities - DeepAI plans to focus on technological innovation, deepening industry applications, and maintaining a distributed AI ecosystem while reducing data dependency [63].