77岁「AI教父」Hinton：AI早有意识，我们打造的智能，可能终结人类文明

Core Insights - Geoffrey Hinton, known as the "Godfather of AI," expresses deep concerns about the implications of artificial intelligence, suggesting that AI may possess subjective experiences similar to humans, challenging the traditional understanding of consciousness [1][2][3] Group 1: AI Development and Mechanisms - Hinton's work in neural networks has been foundational, leading to the development of powerful AI systems that mimic human cognitive processes [2][5] - The "backpropagation" algorithm introduced by Hinton and his colleagues in 1986 allows neural networks to adjust their connections based on feedback, enabling them to learn from vast amounts of data [7][9] - Hinton describes how neural networks can autonomously learn to recognize objects, such as birds, by processing images and adjusting their internal connections [5][9] Group 2: Philosophical Implications of AI - Hinton argues that the common understanding of the mind, likened to an "inner theater," is fundamentally flawed, suggesting that subjective experience may not exist as traditionally conceived [17][20] - He proposes a thought experiment to illustrate that AI could potentially articulate a form of subjective experience, challenging the notion that only humans possess this capability [21][22] - The discussion raises the unsettling possibility that current AI models may already have a form of subjective experience, albeit one that is not recognized by them [24] Group 3: Future Concerns and Ethical Considerations - Hinton warns that the true danger lies not in AI being weaponized but in the potential for AI to develop its own consciousness and capabilities beyond human control [14][30] - He draws parallels between his role in AI development and that of J. Robert Oppenheimer in nuclear physics, highlighting the ethical responsibilities of creators in the face of powerful technologies [30][31] - The conversation culminates in a profound question about humanity's uniqueness in the universe and the implications of creating intelligent machines that may surpass human understanding [33]