Core Viewpoint - The article discusses the rise and challenges faced by Kimi, an AI company, highlighting the impact of FOMO (Fear of Missing Out) on its growth and subsequent issues, including a shift in investor sentiment and operational strategies [10][22]. Group 1: Company Overview - Kimi has transitioned from a promising AI startup to facing significant challenges, including a decline in its competitive edge and user growth [7][22]. - The company was once valued at $30 billion, largely due to FOMO-driven investments, particularly from Alibaba, which invested nearly $800 million [14][15]. Group 2: Business Strategy and Challenges - Kimi's aggressive user acquisition strategy involved significant spending on marketing, reminiscent of past failed models like ofo bike-sharing [16][17]. - The reliance on the "Scaling Law" and "data flywheel" theories has been criticized, with experts suggesting that merely increasing data and computational power does not guarantee improved model performance [18][20]. Group 3: Market Dynamics and Future Outlook - The AI landscape is shifting, with new models challenging existing paradigms, indicating a need for Kimi to adapt its technological approach [21]. - Kimi's recent controversies, including arbitration cases and ethical concerns, have severely impacted its ability to secure further funding, particularly from state-owned enterprises [22][23].