我，投资了OpenAI，但迷茫的很：AI万亿独角兽，我至今找不到

Group 1 - The core viewpoint of the article revolves around the uncertainties and challenges faced by investors in the AI sector, particularly regarding the future of large models and their potential to create significant value [2][5][17] - Investors are experiencing a "fear of missing out" (FOMO) which drives them to invest in leading projects like OpenAI and Anthropic, despite uncertainties about their long-term success [6][28] - There is a lack of clarity on what types of AI applications will emerge as the next unicorns, with most current projects being efficiency tools rather than groundbreaking native applications [7][23][55] Group 2 - The article discusses the historical parallels between the current AI landscape and the early internet era, highlighting the confusion and excitement surrounding transformative technologies [12][16][36] - Investors are questioning whether large models can develop into monopolistic ecosystems similar to iOS, and whether they can achieve high valuations [6][34] - The competitive landscape for AI startups is more challenging than in the past, as traditional companies are now actively engaging with AI technologies and have significant resources [25][26][27] Group 3 - The article emphasizes the importance of identifying the right applications that will succeed in the AI space, noting that many current projects are merely enhancements rather than innovative solutions [20][22][54] - There is a concern that the best investment opportunities may be missed as the market matures and the most promising applications become apparent [24][55] - The potential for AI applications to evolve into significant business models remains uncertain, with a focus on B2B opportunities currently being more prevalent than B2C [56][57]