Group 1 - The core idea presented is that the human data dividend is nearing its limit, and artificial intelligence (AI) is entering an "experience era" centered on continuous learning, which has the potential to exceed previous capabilities [1][9][44] - AI's current training methods are primarily focused on transferring existing human knowledge to static models without autonomous learning capabilities, leading to a recognition of the limitations of this approach [10][14] - The future of AI relies on the development of two currently immature technologies: continual learning and meta-learning, which are essential for unlocking the full potential of experience-based learning [16][14] Group 2 - AI has become a highly politicized issue, with public fears about bias, unemployment, and even human extinction being exaggerated and fueled by certain organizations and individuals [16][18][25] - The call for regulation and control of AI reflects a broader societal tendency to fear the unknown, which can hinder collaborative efforts necessary for progress [24][28] - The concept of decentralized collaboration is emphasized as a superior alternative to centralized control, allowing for coexistence among diverse intelligent agents with different goals [20][26][21] Group 3 - Four principles are proposed to predict the future of AI: the absence of a unified global opinion on how the world should operate, the eventual understanding and creation of intelligence by humans, the inevitable surpassing of current human intelligence by superintelligent entities, and the flow of power and resources towards the most intelligent agents [35][36][37] - The inevitability of AI's replacement of human roles is acknowledged, framing it as a natural progression in the evolution of intelligence [38][44] - The role of humans as catalysts and pioneers in the "design era" is highlighted, emphasizing the unique ability to push design to its limits through AI [42][43]

Group 1 - The core viewpoint of the article emphasizes the transition from the "human data era" to the "experience era" in artificial intelligence, highlighting the need for AI systems to evolve beyond reliance on human knowledge and labels [2][4] - AI systems currently lack the ability for continuous learning and generating new knowledge, which is essential for true intelligence [2][3] - The concept of "decentralized collaboration" is proposed as a means to achieve coexistence and mutual benefit in AI development, contrasting with centralized control approaches [3][4] Group 2 - The article outlines a philosophical perspective on the evolution of the universe, categorizing it into four eras, with humanity entering the "design era" where machines designed by humans become dominant [4] - It is argued that AI is a natural extension of human understanding and evolution, rather than a threat, and that the replacement of human roles by AI is inevitable [4] - The need for a shift in governance from fear-based control to collaboration and trust in AI development is emphasized [3][4]

Core Viewpoint - The emergence of the "Experience Era" in artificial intelligence emphasizes the need for new data sources that evolve with the intelligence of agents, akin to self-play in computer games [1][3][4] Group 1: Scientific Development Trends - The current state of AI is characterized by a reliance on human data, which limits the ability to generate new knowledge and sustain learning [2][4] - The concept of "experience" is defined as the interaction between agents and the world, consisting of observation, action, and reward, which is essential for learning [4][3] - Future advancements in AI will require technologies for continuous learning and meta-learning to fully harness the potential of experience [4][10] Group 2: Political Implications - AI has become a highly politicized issue, with concerns about bias, unemployment, and existential risks prompting calls for regulation and control [5][8] - The fear surrounding AI is often exaggerated and fueled by certain organizations, reflecting a broader human tendency to distrust others [6][8] - The core conclusion is that the prosperity of both AI and humanity relies on decentralized collaboration rather than centralized control [8][6] Group 3: Philosophical Considerations - AI is viewed as a natural extension of humanity's quest for understanding intelligence, which has been a longstanding pursuit in philosophy [9][10] - The evolution of AI is seen as a necessary step in the universe's progression, with humans acting as catalysts in this transition to a "Design Era" [10][11] - The unique role of humans is to elevate design to unprecedented levels, ultimately leading to the creation of self-designing entities [11][10]

Core Insights - Statter Network successfully hosted a community meetup in Lima, Peru, marking a significant step in building a global community connection network focused on Web3 principles [1][16] - The event gathered blockchain practitioners, developers, investors, and Web3 enthusiasts to discuss key topics such as "eco-building," "on-chain innovation," and "creator economy," showcasing the spirit of co-creation in the Web3 space [3][5] Group 1: Statter's Vision and Goals - Statter believes that true Web3 is not just about technological evolution but also about collaborative efforts among global creators and builders, with South America being a vibrant hub for innovation [4] - The community meetup aimed to convey core concepts such as "one-click blockchain deployment," "modular tools," and "eco-building incentive mechanisms" to local developers and creators [4][15] Group 2: Modular System Framework - Statter operates as an open platform providing modular services, allowing developers to build customized blockchain systems based on their needs, significantly lowering the barriers to blockchain creation [7] - The modular architecture offers high scalability and flexibility, enabling diverse application scenarios and facilitating rapid deployment akin to "building with blocks" [7] Group 3: Decentralized Collaboration - Statter focuses on the actual needs and development potential of creators, providing a robust infrastructure while fostering an open, diverse, and inclusive on-chain creative environment [8] - The Peru community is planning targeted incentive programs for local content creators, DApp developers, and community organizers to enhance participation in the ecosystem [8] Group 4: Global and Local Ecosystem Development - Statter encourages local communities to explore development paths that align with their cultural, policy, and industrial characteristics, promoting localized co-construction of the global ecosystem [9] - The company's global strategy includes expanding into Europe, Asia, and South America, with a focus on compliance, DeFi, GameFi, and local project incubation [12] Group 5: Community Engagement and Future Outlook - The community meetup successfully sparked interest among local developers, with many expressing a clear willingness to participate in ecosystem co-creation [15] - Statter views the Lima meetup as a starting point for ongoing global community building, emphasizing the importance of real connections and local potential in promoting Web3 [16]