【视频】宇树科技王兴兴发声！“很多代码自己懒得写，AI大模型写代码成功率已非常高！”

Core Viewpoint - The advancements in AI large language models have significantly improved the success rate of code generation, with many software applications achieving over 90% success in 2023, compared to lower success rates in the previous year [4][6]. Group 1: AI and Code Generation - AI large language models can now write code effectively, allowing developers to simply describe the desired functionality or algorithm in natural language, which the AI can then translate into code [4][6]. - The performance of AI in generating programming content has improved dramatically, with a success rate exceeding 90% for most software applications [4][6]. Group 2: Robotics and Market Growth - The humanoid robot industry is experiencing rapid growth, with an average increase of 50% to 100% in the smart robotics sector in China during the first half of 2023 [6]. - The market is seeing a surge in new robot releases, with at least one new robot being launched daily since last year, indicating a fast-paced development and deployment cycle in the industry [6]. Group 3: Future Outlook and Collaboration - The integration of AI tools is expected to elevate productivity levels, akin to historical technological advancements such as electricity and the steam engine [6]. - The AI ecosystem is characterized by global collaboration, with various countries and companies leveraging their unique advantages to drive technological progress and improve human living standards [7].