谢耘：诺奖得主辛顿敷衍走场，是对科学的败坏

Group 1 - The article discusses the contrasting views on artificial intelligence (AI), highlighting a divide between pessimistic and optimistic perspectives among experts [2][3][5] - It emphasizes that while AI can perform certain tasks, it lacks true understanding and reasoning capabilities, relying instead on statistical methods [7][8][10] - The article critiques the notion that AI's intelligence is akin to human intelligence, arguing that there are fundamental differences in understanding and reasoning [11][12][24] Group 2 - The lack of a solid scientific foundation for AI is noted, with historical references to Turing's work being described as subjective and not meeting scientific standards [10][12][14] - The article points out that AI's reliance on statistical methods has led to practical applications but does not equate to theoretical breakthroughs in science [15][17] - It suggests that AI is merely a part of the broader information technology landscape, which aims to enhance human capabilities rather than replace them [19][20][21] Group 3 - The historical context of technological development is discussed, indicating that reliance on empirical craftsmanship has limitations compared to scientific advancements [22][24] - The article warns against the potential for misinformation and the dilution of scientific rigor in the discourse surrounding AI, especially as society enters a "post-science" era [24][25] - It concludes that the aspiration to create machines with human-like consciousness remains unattainable without a deeper scientific understanding of consciousness itself [23][24]