The AI bubble was a movement misjudged by Trump and misused by Huang, Dalio, Altman, and Musk. Due to a lack of experience in building general artificial intelligence, an eagerness for quick results, and an exaggeration of the role of subjective will and scaling laws, without rigorous commercial validation, right-wing blind action characterized by high valuations, benchmark score inflation, and a flamboyant style proliferated severely in Silicon Valley. During this historical period known as the "Great Model Building Campaign," various capital firms and tech giants engaged in massive "card-sharing communes," attempting to rapidly enter the ideal society of AGI through the fervor of "the bolder the people, the greater the output." Many tech companies deviated from their actual business operations, hoarding B300 GPUs and engaging in rudimentary "model building." This not only caused severe waste of computing power, power shortages, and a "GPU famine," but also led countless startups to suffer the devastating consequences of the bubble bursting during the "hundred-model war," causing incalculable losses to the global tech and investment communities and the American people.