理想TOP2·2025-06-29 15:06Core Viewpoint - The article discusses the unique characteristics of the AI academic community compared to other disciplines, highlighting the rapid growth and the implications for the quality and significance of research papers submitted to top conferences [5][7][8]. Group 1: Characteristics of AI Academic Community - AI conferences are more important than journals due to the fast-paced development of AI, which makes the lengthy journal review process inadequate [5]. - The number of submissions and acceptances to top AI conferences has significantly increased over the past decade, with acceptance rates declining, indicating a surge in competition [5][7]. - The rapid increase in submissions has led to a shortage of qualified reviewers, resulting in a decline in the quality of accepted papers [8]. Group 2: Implications for Research Quality - The increase in accepted papers does not guarantee high-quality research, as many accepted papers may lack substantial contributions [8]. - The job market for AI researchers is becoming increasingly competitive, with the demand for high-quality publications rising faster than the availability of quality positions [8]. Group 3: Company-Specific Insights - Li Auto's recent achievement of having multiple papers accepted at ICCV is used as a promotional tool to showcase its advancements in assisted driving technology [9]. - The original innovation level of Li Auto's VLA is compared to DeepSeek's MoE level, indicating that few Chinese companies can achieve such a high level of innovation [11][12]. - Li Auto's approach to autonomous driving has evolved from following Tesla to developing its unique systems, particularly in the integration of fast and slow systems in its VLM [12][13].