潘云鹤，最新发声！

Core Insights - The article discusses the future of AI and its impact on platform economy, emphasizing the transition to a 2.0 era driven by AI applications in various sectors [2] - It highlights the importance of addressing the "hallucination" problem in large models, which can lead to significant issues in engineering and technology applications [3][4] - The evolution of embodied intelligence and its potential to expand the industry space through the integration of various intelligent systems is also a key focus [6] Group 1: AI and Platform Economy - AI+ is expected to initiate a new wave in platform economy, transitioning it to a technology service-oriented model [2] - Since 2017, China has outlined five directions for AI development, including big data intelligence and human-machine hybrid intelligence [2] Group 2: Challenges in AI Development - The "hallucination" issue in large models arises from statistical probability-driven "reasonable guesses," which can result in content that is inconsistent with facts or logic [3] - Solutions to mitigate hallucination include training specialized large models with domain-specific data and reconstructing the development path of large models [4] Group 3: Embodied Intelligence - The concept of embodied intelligence is expected to generalize and deepen, with intelligent systems evolving into broader intelligent terminals [6] - The integration of various intelligent systems, such as robots and drones, is anticipated to significantly expand the industry scale [6]