百度秒哒商业应用生成数突破50万个 未来三年将扶持100万创造者创收

Core Insights - Baidu's no-code application building platform "MiaoDa" has generated over 500,000 commercial applications within 8 months, with a daily increase in applications exceeding 150% [1] - The "Creator Dream Plan" aims to support 1 million creators over the next three years, facilitating revenue generation and identifying 15 high-potential projects for significant investment by 2026 [1] - The platform's goal is to bridge the gap between AI application generation and monetization, transforming creative ideas into sustainable business outcomes [1] Group 1 - Baidu's Executive Vice President, Shen Dou, emphasized that AI creation is becoming accessible to a broader audience, allowing anyone with ideas to become a creator [2] - MiaoDa, launched in November 2024, is China's first "conversational" application development platform, enabling users to create applications without coding [2] - The product manager, Zhu Guangxiang, explained that MiaoDa aims to liberate application development from professional developers, allowing more people to build usable and monetizable applications through natural language [2] Group 2 - MiaoDa operates through a collaborative model of demand, code, and UI, creating a data flywheel that continuously evolves and builds a quality code, UI, and demand library [3] - Currently, 81% of MiaoDa users are non-programmers, primarily from the workforce and academic sectors, with applications serving over 10 million users [3] - The applications generated by MiaoDa fall into three categories: direct monetization tools, business software for internal systems, and AI efficiency applications, collectively creating over 5 billion yuan in economic and efficiency value [3] Group 3 - The rise of no-code platforms and creator ecosystems is enabling individuals from diverse backgrounds to participate in innovation and commercialization at lower costs [4] - The next phase of competition in the AI era may focus on building a complete application ecosystem that encompasses creation, distribution, and monetization rather than solely on model capabilities [4]