Artificial intelligence (AI) has a history of nearly a century from its inception to the present day. We have summarized the development trends and discovered universal rules, including both success and failure. We have analyzed the reasons from both technical and philosophical perspectives to help understand the reasons behind the past failures and current successes of AI, and to provide a basis for thinking and exploring future development. Specifically, we have found that the development of AI in different fields, including computer vision, natural language processing, and machine learning, follows a pattern from rules to statistics to data-driven methods. In the face of past failures and current successes, we need to think systematically about the reasons behind them. Given the unity of AI between natural and social sciences, it is necessary to incorporate philosophical thinking to understand and solve AI problems, and we believe that starting from the dialectical method of Marx is a feasible path. We have concluded that the sustainable development direction of AI should be human-machine collaboration and a technology path centered on computing power. Finally, we have summarized the impact of AI on society from this trend.

翻译：人工智能（AI）从诞生至今已历经近一个世纪的发展。我们总结了其发展趋势并发现了普遍规律，包含成功与失败两方面。从技术哲学双重视角剖析了成败缘由，旨在理解人工智能过去失败与当前成功的深层原因，并为未来发展提供思考探索基础。具体发现：包括计算机视觉、自然语言处理、机器学习在内的不同AI领域，发展均遵循从规则驱动到统计方法再到数据驱动的演进模式。面对过往挫折与当下成就，需要系统性思考其背后的驱动因素。鉴于人工智能在自然科学与社会科学之间的统一性，必须引入哲学思维来理解并解决AI问题，我们认为从马克思辩证法切入是可行的路径。最终得出结论：人机协同与以算力为核心的技术路径应是人工智能可持续发展的方向。最后，我们据此趋势总结了人工智能对社会产生的影响。