Core Insights - The interview discusses the concept of AI Native companies, emphasizing that a key indicator of such companies is achieving a revenue per employee of at least $10 million, which may increase in the future [3][4][5] - AI Native organizations are expected to leverage AI to significantly enhance productivity and efficiency, potentially leading to a future where AI can operate autonomously without human intervention [6][9][10] - The conversation highlights the importance of curiosity and exploration within teams to effectively implement AI solutions in organizations [39][40] Group 1: Definition and Characteristics of AI Native - AI Native companies are defined by their ability to achieve high revenue per employee, with a benchmark of $10 million, indicating substantial exploration and practice in AI [3][4] - The concept of AI Native is compared to previous technological paradigms, suggesting that true AI Native applications will be those that cannot function without AI [6][7] - The ultimate goal for AI Native organizations is to reach a state of General Artificial Intelligence (AGI), where AI can autonomously manage operations and evolve [9][10] Group 2: Industry Applications and Implementation - Organizations are encouraged to start AI implementation in non-core business areas to build familiarity and confidence among employees [43][55] - Practical examples of AI applications include automating mundane tasks like document preparation and enhancing customer service through AI agents [39][40] - The importance of providing accessible AI tools and resources to employees is emphasized, allowing them to experiment and innovate within their roles [60][61] Group 3: Future of Work and AI Integration - The discussion touches on the potential for AI to replace repetitive tasks, allowing humans to focus on more creative and fulfilling work [21][22] - There is a recognition of the need for a societal shift in wealth distribution as AI takes over more cognitive tasks, potentially leading to a universal basic income model [20][21] - The conversation concludes with the notion that AI can enhance organizational efficiency by better matching individuals to roles based on their strengths, facilitated by AI's ability to process and analyze data [23][27]

我对当下的 AI 市场和明年的发展都极度乐观，明年肯定是个 AI 大年，我发现市场太悲观了，这 就是我拖延了两周，最后决定一定要做这期内容的原因。 来，我们直入主题，先来看这两年 AI 发生了什么。 23 年，AI 来了，很多互联网人和美元基金就直接冲了，因为不管从什么角度看，AI 这波都和大 家熟悉的互联网那波机会太像了，而且天下其实已经苦互联网人久已，从 15 年以后大机会其实就 不多了，18 年以后更是几乎没有，我记得过去两年涨起来的到千万日活的产品可能也就是番茄小 说等极少数的几个。 那互联网人发现我练成一身武功绝学，江湖却没了，这怎么能忍？ 然后市场做了个判断，AI 是不是大机会？肯定是，是什么量级先不说，是对标电、互联网还是云 也先不管，但这里又有个判断，就是 AI 肯定还在早期，所以很多人有个结论，说 AI 要先投技术 背景的人，所以像清华的教授都被撸了一遍，然后 23 年最多的钱就都流向了大模型公司，很少量 的钱流向了做中间层和应用的公司。23 年的时候，但凡你是从 OpenAI 出来的，都像是神坛上的 人，大家到美国去学习也是千方百计拼谁能约到个 OpenAI 的人聊聊。 那冲的结果怎么样呢 ...

作者｜Stone Jin 微信公众号｜ipozaozhidao 据IPO早知道消息，欧洲虚拟电厂企业Green Voltis日前完成近千万美元天使轮融资，由创世伙伴领 投，云启资本、九合创投共同参与。此次融资将主要用于AI Native虚拟电厂的技术创新和市场拓 展。 聚焦于欧洲市场。 Green Voltis是一家聚焦于欧洲市场的AI Native虚拟电厂聚合运营商，通过AI native技术电力现货 交易以及参与电网辅助服务为储能等新能源资产持有方、工商业客户、售电代理商等电力市场参与方 提供智能、高效的灵活性交易运营解决方案。同时，Green Voltis还帮助深度合作的基础设施投资 基金进行欧洲的项目开发与资产投资。 本文为IPO早知道原创 事实上，Green Voltis目前欧洲部分区域调频收益非常可观，但未来储能创造的价值将会是调频、 容量、平衡等辅助服务市场与现货交易市场的实时多市场优化场景。 Green Voltis团队从欧洲创业之初，就以AI Native平台架构为基础、实时多市场优化为目标构建解 决方案。从商业模式来看，Green Voltis的运营主要围绕提供虚拟电厂服务展开。公司通过软 ...