用AI給人生開掛的正確方式: AI比人进化快的时代，學什麼才不落伍?

The rapid evolution of AI, particularly the emergence of ChatGPT, has sparked a mix of excitement and anxiety among many individuals. The speaker, lacking a programming background, joined the AI learning wave and attempted to create an AI course. However, the swift updates in AI technology rendered parts of the course obsolete before completion. This experience reflects a common challenge in the developer community, where applications based on OpenAI's platforms can become obsolete with a single update. The speaker previously discussed the concept of natural language programming and encouraged embracing AI to become super learners. Yet, in an era where AI evolves faster than humans, the speaker questions what is meaningful to learn. The introduction of OpenAI's video generation model, Sora, further complicates this issue, as it not only advances video AI capabilities but also simulates the understanding of the physical world, potentially accelerating the development of AGI. The speaker, as a video creator, feels threatened by the advancements, as Sora could replace their role. The speaker then references Richard Hamming's book, 'The Art of Doing Science and Engineering,' discussing the exponential growth of human knowledge and the challenge faced by knowledge workers in deciding what to learn. Hamming suggests focusing on fundamental knowledge and developing the ability to learn new fields, emphasizing the importance of foundational concepts over specific tools or technologies.

The speaker explores the importance of storytelling and core video production processes in the context of AI advancements. While high-level tools and technologies are becoming increasingly accessible through AI, the speaker argues that the true value lies in one's ideas. However, the speaker warns against the misuse of the term 'ideas,' distinguishing between 'cheap ideas' and 'value ideas' that stem from a deep understanding of a field. The speaker criticizes videos that promise wealth through AI without the creators themselves pursuing those methods. The speaker emphasizes that execution is hard and ideas are even harder, advocating for a focus on foundational knowledge that can serve as a lever for innovation. The speaker suggests that the true leverage point in the AI era is not the latest tools but the most fundamental and core knowledge.

The speaker advocates for focusing on the most basic and core knowledge, or 'big ideas,' as the foundation for empowerment in the AI era. Despite the rapid obsolescence of specific tools and technologies, foundational knowledge remains stable and serves as a reliable fulcrum for leveraging AI. The speaker acknowledges that while each discipline's core foundational knowledge is limited, understanding these concepts is challenging and requires experience and active thought. The speaker recommends Charlie Munger's concept of 'Big Ideas' and suggests using AI, like ChatGPT, to identify and learn these foundational concepts. The speaker also addresses the misconception that cross-disciplinary learning is about challenging experts in other fields. Instead, it's about utilizing the expertise of others to solve problems in one's own field. The speaker emphasizes the power of combining a deep understanding of one's own field with a shallow understanding of other fields' big ideas.

The speaker discusses how AI can accelerate the process of learning across disciplines. While the future may require many to become cross-disciplinary to survive, the speaker argues that this shift is not about replacing experts but rather about leveraging their expertise. AI is seen as a tool that can help individuals understand the core concepts of other fields more quickly. The speaker uses their own learning of music composition and programming as examples of how AI can assist in grasping the essentials of a new field. However, the speaker also warns that the future may force many to become cross-disciplinary as AI blurs professional boundaries and reduces the need for numerous tools and industries. The speaker concludes by emphasizing the necessity of adapting to this change to avoid obsolescence.