在科技与创新的前沿领域，中国人工智能领域正迎来一次重要转型。据财联社报道，复旦大学教授、MOSS大模型项目负责人邱锡鹏阐述了人工智能发展的新趋势，即从当前的大语言模型转向未来的“世界模型”。
邱锡鹏指出，尽管当前的大语言模型在自然语言处理领域取得了显著成就，但它们在现实应用中仍面临诸多挑战，尤其是“幻觉问题”。这一问题指的是模型在生成内容时，可能出现不真实、不可靠或不存在的信息，这在很大程度上限制了模型的实际应用价值。
面对这一挑战，邱锡鹏提出了“世界模型”的概念，强调了人工智能技术未来发展的两大核心方向：一是“观察世界”，即通过深度学习和大数据分析，让模型能够更准确、全面地理解现实世界；二是“产生动作”，这意味着模型不仅能够理解和模仿，还能基于理解做出合理的决策和行动，实现从静态分析到动态交互的转变。
邱锡鹏表示，从大语言模型到“世界模型”的转变，是人工智能技术迈向更广阔应用领域的关键一步。这一转变不仅需要突破现有技术瓶颈，如增强模型的泛化能力、提高其对复杂环境的适应性，还要求建立更为完善的模型评估体系，确保模型输出的准确性和可靠性。
展望未来，邱锡鹏的这一观点不仅为中国人工智能领域的发展指明了方向，也为全球科技界提供了重要的参考。随着技术的不断进步和应用场景的不断拓展，“世界模型”的实现将为人类社会带来前所未有的变革，促进科技与社会的深度融合，推动人类文明迈向更高层次。
英语如下：
News Title: “Advancing the Megamodel: From Language to the World, Overcoming the Illusion Challenge”
Keywords: Megamodel, World Model, Illusion Issue
News Content: At the forefront of technology and innovation, China’s artificial intelligence sector is witnessing a significant transformation. According to Caixin, Professor Qiu Shigen, the head of the MOSS megamodel project at Fudan University, outlined the new trends in AI development, shifting from current large language models to future “world models.”
Qiu Shigen noted that while large language models have made significant strides in natural language processing, they still face numerous challenges, particularly the “illusion issue.” This refers to the phenomenon where models generate content that may be inaccurate, unreliable, or nonexistent, which significantly limits their practical application value.
To tackle this challenge, Qiu Shigen introduced the concept of a “world model,” emphasizing two core directions for future AI development: “Observing the world,” which involves using deep learning and big data analysis to enable models to more accurately and comprehensively understand the real world; and “Generating actions,” meaning that models should not only understand and emulate but also make reasonable decisions and actions based on understanding, facilitating a transition from static analysis to dynamic interaction.
Qiu Shigen stated that the shift from large language models to “world models” is a crucial step for AI technology to expand into broader application areas. This transition requires overcoming existing technological barriers, such as enhancing model generalization capabilities and improving their adaptability to complex environments, as well as establishing a more comprehensive model evaluation system to ensure the accuracy and reliability of model outputs.
Looking ahead, Qiu Shigen’s perspective not only points the way for China’s AI sector but also offers significant insights to the global tech community. As technology continues to advance and application scenarios expand, the realization of “world models” will bring about unprecedented changes to society, promoting a deeper integration of technology and society, and driving human civilization to even higher levels.
【来源】https://www.cls.cn/detail/1726287
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