This article presents 10 questions about AI large-scale model entrepreneurship, including the selection of foundational large models, targeting B-side or C-side, capital choices, opportunities for AI Native applications, scalability of business models, regulation of large models, and legal responsibilities. The author offers his own perspectives on these issues and analyzes the opportunities and challenges of large-scale model entrepreneurship. Additionally, he discusses the problem of large model hallucinations, the business model of middleware, and how to ensure compliance of large models. Overall, this article delves deeply into large-scale model entrepreneurship and provides valuable references for entrepreneurs and investors looking to enter this field.