来 源： 每晚一卷书 （ID: JYXZ89896） 洞见 （ DJ00123987 ） —— 不一样的观点，不一样的故事， 3000 万人订阅的微信大号。点击标题下 蓝字 " 洞见 " 关注，我们将为您提供有价值、有意思的延伸阅读。 凡是经历，皆是成长。 ♬ 点上方播放按钮可收听洞见主播安东尼 朗读音频 作 者：Leyla 松下幸之助曾经说过，自己的成功之道归因于三点： 以前常生病，生活困顿潦倒，而且学历是零。 因为身体不好，所以他特别珍惜时间，总想着在短暂的生命中创出一番事业； 因为贫穷潦倒，他不得不十分努力，所以被迫成为一个不会因为一点困难就放弃的人； 再加上完全没有学历可言，他只好持续学习、终生不辍，来提升自己的水平。 后来他就明白了一个顶级思维： 凡事发生，其实皆有利于我。 正如生命中那些看似不利的条件，却造就了他的辉煌。 人生所有的磨难，换个角度看，其实都是成功的垫脚石。 想通了这一点，你就不再惧怕任何困难的来临。 逢低谷，是老天给你的转机。 作家张德芬说： "当你脚下的那块安全毯突然被抽走的时候，这是人生的关键时刻。你的反应，都一再地左右 着你此后的人生格局和布局。" 许多挫折的来临，看似是命运 ...

Core Insights - The article reflects on the evolution of artificial intelligence (AI) over the past decade, highlighting the rise and decline of major players in the industry, particularly the "AI Four Dragons" [3][4] - It suggests that the next decade (2025-2035) may shift focus from visual recognition to visual generation technologies [4][5] - The article discusses the emergence of various AI models in China, including those from major companies like Baidu, Alibaba, and Tencent, indicating a competitive landscape [4][6] Industry Developments - The AI landscape has seen significant advancements in large models, with a variety of applications emerging, such as text generation, audio generation, image generation, and video generation [4][5][6] - The article notes that these advancements are being monetized, with many companies starting to charge for their services, except for code generation in China [6] Historical Milestones - Key milestones in AI development include the introduction of the Transformer model in 2017, which revolutionized the field by consolidating various specialized models into a more unified approach [7] - The launch of ChatGPT in 2023 marked a significant turning point, prompting major companies like Google to accelerate their AI initiatives [8] - The article also references the release of OpenAI's Sora visual model in 2024, which highlighted the industry's challenges and led to renewed focus on text and context generation [8] Philosophical Considerations - The article raises questions about the future direction of AI, debating whether the next decade will be dominated by Artificial General Intelligence (AGI) or AI-Generated Content (AIGC) [11] - It draws parallels with the skepticism surrounding reusable rocket technology, suggesting that innovation often faces initial resistance before its value is recognized [13][14][15]

Core Insights - The establishment of the first government-affiliated agency focused on artificial intelligence and robotics in Longgang District is seen as a significant breakthrough in institutional innovation [1][2] - The agency aims to serve as a core leader in industry development, an integrator of innovation resources, and a comprehensive service provider for enterprises [1][3] Group 1: Strategic Initiatives - Longgang District has launched the "All in AI" strategy, which includes a series of policies for AI and robotics development, technological innovation, and talent development [1][2] - The agency will coordinate planning, ecological construction, enterprise services, and scene promotion for the AI and robotics industry [1][3] Group 2: Historical Context and Future Vision - The current AI revolution is compared to the electrification of the 19th century and the information revolution of the 1990s, indicating its foundational impact across various industries [3] - Longgang aims to achieve deep application of global AI technology in over 80% of key industries by 2027, with a target to exceed 100 billion yuan in industry scale [9] Group 3: Infrastructure and Resource Allocation - The agency will facilitate the coordination of resources such as data, computing power, models, and financial support to enhance the industrial ecosystem [5][6] - Longgang has established a computing power platform with a current capacity of 2000P, aiming to build a resource pool of 10,000P by the end of the year [6] Group 4: Economic Impact and Growth Projections - The AI industry cluster in Longgang is projected to reach an added value of 4.052 billion yuan in 2024, with a growth rate of 6.5% [8] - The establishment of the agency is expected to accelerate the dual drive of AI industrialization and the industrialization of AI, creating a closed loop of technological innovation and industrial upgrading [8]

Group 1 - The emergence of superintelligence is predicted to occur by 2026, which could represent a pivotal moment in human history, potentially leading to a choice between submission to or rebellion against this new intelligence [2][3] - The author, Zhu Jiaming, posits that artificial intelligence is creating a "third existence" that fundamentally alters human civilization, distinct from physical and spiritual existence [2][3] - The development of AI is marked by three waves: machine learning, deep learning, and the current trend of generative AI models, which have significantly advanced AI capabilities [4][5][6] Group 2 - The introduction of AI into economic activities challenges traditional economic theories, particularly the assumption of "rational agents" and the concept of resource scarcity [8][9] - AI's efficiency surpasses human labor, leading to a potential redefinition of economic principles such as division of labor and employment goals [9][10] - The integration of AI into various sectors is expected to create new academic disciplines, such as AI economics and AI sociology, to explore the interactions between AI and societal structures [10] Group 3 - Concerns about AI's potential to surpass human control have sparked discussions about the need for humanity to undergo a transformation towards a new human identity [11][12] - The concept of transhumanism suggests that humans can transcend their natural limitations through technology, with advancements in bioengineering supporting this vision [12] - The relationship between human intelligence and AI is seen as one of mutual understanding, with AI playing a crucial role in future wealth creation [12]