The AI startup landscape is experiencing a dichotomy of extremes; OpenAI's release of Sora has sparked a frenzy among investors, with several AI startups securing funding. Concurrently, many AI startups are closing their doors. Successful cases demonstrate that AI startups need to choose the right赛道(track), build a business model, establish technical barriers, and avoid excessive growth. Failure cases, on the other hand, highlight shortcomings in track selection, commercialization, technical barriers, and growth speed.