Group 1 - The core viewpoint of the article emphasizes that AI+ will initiate a new wave in platform economy, leading it into a 2.0 era, where platform companies will leverage big data and AI to create economic activities through algorithms and models [1] - Since 2017, China has outlined five directions for AI planning, including big data intelligence, cross-media intelligence, collective intelligence, human-machine hybrid intelligence, and autonomous intelligent systems, with a focus on both cognitive and action simulation [1] - The issue of "big model hallucination," where generated content may not align with facts or logic, is highlighted as a significant concern, especially in engineering and scientific applications [1] Group 2 - A proposed solution to the hallucination problem is the development of specialized (domain) big models, which are becoming increasingly important [1] - The evolution of big models can transition from general to specialized and vice versa, with the latter potentially being more natural and smoother, akin to the development of individuals from specialists to generalists [2] - The concept of embodied intelligence is expected to further generalize and deepen, expanding the industrial space as robots evolve into more comprehensive intelligent terminals [4] Group 3 - The intelligent agent concept is anticipated to transcend hardware and software boundaries, becoming systems capable of perception, decision-making, and action [4] - The evolution of embodied intelligence will progress from visual-action (VA) models to more advanced visual-language-action (VLA) models combined with mechanics [4]

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]