一块钱的AI，开始审判人类

Group 1 - The core argument is that AI is fundamentally changing societal structures, rendering traditional measures of self-worth, such as education and job titles, less relevant as AI can perform tasks at a fraction of the cost and with significantly higher efficiency [1][18][21] - The discussion around AI has shifted from "what to do" in response to job displacement to "how to perceive" the broader implications of AI on society [2][11] - AI's efficiency in performing intelligent tasks is projected to be thousands of times greater than that of humans, leading to a complete reshaping of social, familial, and political structures [3][18][21] Group 2 - The concept of "emergence" suggests that simple rules can lead to complex phenomena when applied at a large scale, which is applicable to both human and AI intelligence [14][15] - The "human equivalent" principle indicates that AI can produce intellectual output at a cost significantly lower than human labor, with AI capable of processing vast amounts of data rapidly [16][17] - The "algorithmic judgment" principle posits that as AI becomes more prevalent, the economic and social structures will shift, potentially leading to a widening gap between those who control AI resources and those who do not [22][26] Group 3 - The potential for a "species-level" divide between the 1% who control AI and the 99% who do not could lead to significant societal challenges, including the risk of economic and existential marginalization for the majority [26][27] - Proposed governance structures include Universal Basic Income (UBI) to address survival needs, Universal Basic Jobs (UBG) to provide a sense of purpose, and algorithmic distribution to ensure equitable resource allocation [27][29][30] - The emergence of a "civilization contract" between humans and superintelligent AI raises questions about the nature of justice and the moral implications of AI governance [40][41][48]