Group 1 - The article discusses the limitations of current AI models, particularly their lack of continuous learning capabilities, which is seen as a significant barrier to achieving Artificial General Intelligence (AGI) [1][6][10] - The author predicts that while short-term changes in AI capabilities may be limited, the probability of a significant breakthrough in intelligence within the next ten years is increasing [1][10][20] - The article emphasizes that human-like continuous learning is essential for AI to reach its full potential, and without this capability, AI will struggle to replace human workers in many tasks [6][10][18] Group 2 - The author expresses skepticism about the timeline for achieving reliable computer operation AI, suggesting that current models are not yet capable of performing complex tasks autonomously [12][13][14] - Predictions are made for the future capabilities of AI, including the potential for AI to handle small business tax operations by 2028 and to achieve human-like learning abilities by 2032 [17][18][19] - The article concludes with a warning that the next decade will be crucial for AI development, with the potential for significant advancements or stagnation depending on breakthroughs in algorithms and learning capabilities [22]
AGI没那么快降临：不能持续学习，AI没法全面取代白领
3 6 Ke·2025-07-13 23:23