Core Insights - The competitive edge of AI products comes from two aspects: technological leadership and continuous optimization of user experience [1][3]. Group 1: Technology and Product Development - AI products must achieve near 100% accuracy to address user pain points effectively, as illustrated by the example of image recognition where 99% accuracy still results in unacceptable errors [3]. - The core product "Scan All-in-One" is designed to enhance user experience by addressing common issues such as lighting and angle interference during document capture [3]. - Continuous technological investment is essential for breakthroughs, as technology accumulation is a long-term and systematic process [4]. Group 2: User Experience and Innovation - The company focuses on user-centric innovations, such as automating the correction of handwritten mistakes in children's homework, significantly saving time for parents [3]. - AI products should aim to think like humans, understanding and solving real-world problems through technology [3]. Group 3: Long-term Development and Market Dynamics - To maintain a leading position in the rapidly evolving AI landscape, companies must grasp the direction of technological routes and balance investment rhythm and structure [3][4]. - The capital market plays a crucial role in driving technology companies, with feedback from investors helping to optimize products further [5]. - The competition in AI is not just about algorithms but also about time, direction, and patience [5].
合合信息刘忱：AI竞争的核心是时间、方向与耐心的竞争