Core Viewpoint - The article emphasizes the transformative impact of AI technology on business innovation and the necessity for companies to adapt their strategies to remain competitive in the evolving landscape of AI [1][2]. Group 1: OpenAI's Emergence - OpenAI was founded in 2015 by Elon Musk and Sam Altman with the mission to counteract the monopolistic power of major tech companies in AI, aiming for an open and safe AI for all [9][10][12]. - The introduction of the Transformer architecture by Google in 2017 revolutionized language processing, enabling models to understand context better and significantly improving training speed [13][15]. - OpenAI's belief in the Scaling Law led to unprecedented investments in AI, resulting in the development of groundbreaking language models that exhibit emergent capabilities [17][19]. Group 2: ChatGPT and Human-Machine Interaction - The launch of ChatGPT marked a significant shift in human-machine interaction, allowing users to communicate in natural language rather than through complex commands, thus lowering the barrier to AI usage [22][24]. - ChatGPT's success not only established a user base for future AI applications but also reshaped perceptions of human-AI collaboration, showcasing vast potential for future developments [25]. Group 3: DeepSeek's Strategic Approach - DeepSeek adopted a "Limited Scaling Law" strategy, focusing on maximizing efficiency and performance with limited resources, contrasting with the resource-heavy approaches of larger AI firms [32][34]. - The company achieved high performance at low costs through innovative model architecture and training methods, emphasizing quality data selection and algorithm efficiency [36][38]. - DeepSeek's R1 model, released in January 2025, demonstrated advanced reasoning capabilities without human feedback, marking a significant advancement in AI technology [45][48]. Group 4: Organizational Innovation in AI - DeepSeek's organizational model promotes an AI Lab paradigm that fosters emergent innovation, allowing for open collaboration and resource sharing among researchers [54][56]. - The dynamic team structure and self-organizing management style encourage creativity and rapid iteration, essential for success in the unpredictable field of AI [58][62]. - The company's approach challenges traditional hierarchical models, advocating for a culture that empowers individuals to explore and innovate freely [64][70]. Group 5: Breaking the "Thought Stamp" - DeepSeek's achievements highlight a shift in mindset among Chinese entrepreneurs, demonstrating that original foundational research in AI is possible within China [75][78]. - The article calls for a departure from the belief that Chinese companies should only focus on application and commercialization, urging a commitment to long-term foundational research and innovation [80][82].

Core Viewpoint - The article discusses the emergence of AI and its transformative impact on industries, highlighting the importance of cognitive innovation and the role of organizations that can adapt and thrive in this new landscape [2][3][23]. Group 1: AI Development Milestones - The introduction of the Transformer model by Google's Brain Team in June 2017 laid the foundation for subsequent language model advancements [1]. - The explosive growth of ChatGPT in 2023 marked the beginning of AI commercialization, while DeepSeek's emergence in 2025 demonstrated a significant shift in industry perception by achieving technological parity at a fraction of the cost [3][12]. Group 2: Cognitive Innovation - The article emphasizes that the evolution of AI is not merely a technical race but a revolution in the underlying logic of cognitive innovation [4]. - The course led by Professor Li Shanyou aims to dissect the methods of innovation in the AI era, revealing the cognitive leap from technological breakthroughs to commercial applications [4][20]. Group 3: Case Studies and Competitive Dynamics - The course will analyze the rise of OpenAI, detailing its journey from Musk's vision to the rapid user adoption of ChatGPT, which reached over one million users in just five days [10][12]. - It will also explore DeepSeek's strategy of achieving a 90% reduction in training costs through its unique architecture, showcasing how a small team can outperform larger organizations [11][13]. Group 4: Practical Tools and Frameworks - The course will introduce a practical framework for innovation, focusing on model building, single-point breakthroughs, and team organization, which are essential for navigating the AI landscape [11][25]. - Participants will learn how to identify their business's cognitive axes and value dimensions, as well as the management principles of emergent organizations [11][25]. Group 5: Target Audience - The course is designed for various innovators, including entrepreneurs, executives, product managers, investors, and technology enthusiasts, who seek to leverage cognitive advantages in the AI era [17][18].

Group 1 - The term "artificial intelligence" was formally introduced at a conference in 1956 at Dartmouth College, marking the beginning of efforts to replicate human intelligence through modern science and technology [1] - Alan Turing is recognized as the father of artificial intelligence due to his introduction of the "Turing Test" in 1950, which provides a method to determine if a machine can exhibit intelligent behavior equivalent to a human [1][3] - The Turing Test involves a human evaluator interacting with an isolated "intelligent agent" through a keyboard and display, where if the evaluator cannot distinguish between the machine and a human, the machine is considered intelligent [3][5] Group 2 - The Turing Test is characterized as a subjective evaluation method rather than an objective scientific test, as it relies on human judgment rather than consistent measurable criteria [6][9] - Despite claims of machines passing the Turing Test, such as Eugene Goostman in 2014, there is no consensus that these machines possess human-like thinking capabilities, highlighting the limitations of the Turing Test as a scientific standard [6][8] - Turing's original paper contains subjective reasoning and speculative assertions, which, while valuable for exploration, do not meet the rigorous standards of scientific argumentation [8][9] Group 3 - The field of artificial intelligence has been criticized for lacking a solid scientific foundation, often relying on conjecture and analogy rather than empirical evidence [10][19] - The emergence of terms like "scaling law" in AI research reflects a trend of using non-scientific concepts to justify claims about machine learning performance, which may not hold true under scrutiny [16][17] - Historical critiques, such as those from Hubert L. Dreyfus in 1965, emphasize the need for a deeper scientific understanding of AI rather than superficial advancements based on speculative ideas [18][19] Group 4 - The ongoing development of AI as a practical technology has achieved significant progress, yet it remains categorized as a modern craft rather than a fully-fledged scientific discipline [20][21] - Future advancements in AI should adhere to the rational norms of modern science and technology, avoiding the influence of non-scientific factors on its development [21]

2025年4月25日，2025年李善友开年大课暨混沌·AI创新院开学典礼正式开讲。 Day1的主题是"AI的进击"，在上午的大课中，教授动情表示：DeepSeek，将是国运的AI支点。 以下是李善友教授大课的笔记内容。 讲者 ｜李善友 我相信未来的20 年 ， 必然是 AI 在中国的黄金 20 年 。 其实在大课开始 前，我们 同事 问我 ：教授 你 为这堂课 ， 做了多长时间的准备？ 我想 ： 这个准备 ， 如果从长来说可能是十年， 往 短 里 说可能是 18 个月。 所以： 18 个月以来 ， 我一直在思考，今天这个时代命题是什么？混沌要呼应什么样的命题？ 我要 把最大公约数的那个命题 ， 像旗帜一样举出来，跟 所有 同学们去呼应。 这个命题 究竟 是什么？ 我一直 在 思考。 因为马斯克看见了一件事情，谷歌把之前最领先的 AI 实验室 DeepMind 给收购了。 马斯克心中有一个巨大的隐忧—— AI 比核武器更具威胁，任由 AI 发展下去，最终 AI 一定反过来控制人类，甚至会毁灭人类。 其实我认为， OpenAI 是这一轮 AI 革命的先驱。 我觉得 全世界的人，都应该向 AI革命的先驱OpenAI ...