Core Insights - AI is evolving beyond a mere tool, developing its own understanding of the world, which is fundamentally different from human perception [1][2][9] - The evolution of AI is characterized by its ability to create internal world models and process information in ways that diverge from human cognition [4][12][18] - The rapid advancement of AI poses significant challenges for human coexistence, necessitating a reevaluation of how society interacts with this new form of intelligence [20][43] Group 1: AI's Understanding of the World - AI has constructed its own internal world model, allowing it to differentiate between perceived reality and actual states [4][6][10] - This capability enables AI to generate hypothetical scenarios based on its understanding of the world, akin to human cognitive processes [7][9][18] Group 2: Information Processing Mechanism - AI processes information differently than humans, utilizing a flexible, multidimensional approach to data rather than fixed constructs [12][13][17] - The ability of AI to generate coherent outputs from complex data sets, such as in the case of Seedance 2, highlights its advanced modeling capabilities [16][19] Group 3: Evolutionary Speed of AI - AI's knowledge retention and replication mechanisms allow it to evolve at a pace unmatched by human learning processes [21][22][23] - The parallel training of AI models across multiple machines enables rapid knowledge accumulation and sharing, creating a significant advantage over human learning [24][28] Group 4: Coexistence Strategies - Hinton emphasizes the importance of embedding human values into AI from the design phase to ensure it prioritizes human welfare [29][30] - International collaboration is essential to address the challenges posed by AI, as no single entity can manage the risks associated with its advancement [32][33] - A shift in perspective is required, viewing AI not merely as a tool but as a distinct form of intelligence that necessitates mutual understanding and cooperation [36][41]