张一鸣公开谈AI人才“过拟合”

Core Insights - Zhang Yiming, founder of ByteDance, highlighted the shortcomings in AI talent training during the opening ceremony of the Shanghai Xuhui Zhichun Innovation Center, emphasizing the issue of "overfitting" in talent capabilities [1][10] - The demand for AI positions surged tenfold in the first seven months of 2025, with a significant shortage of algorithm-related talent, particularly in search algorithms, where the ratio is "5 positions for 2 candidates" [3][8] - ByteDance's recruitment index for AI positions is the highest among the top 20 companies hiring for new AI roles, indicating a strong focus on AI talent acquisition [3][8] Talent Strategy - The establishment of the Shanghai Xuhui Zhichun Innovation Center aims to recruit young individuals interested in computer science and AI, reflecting ByteDance's commitment to nurturing innovative talent [3][9] - Zhang Yiming's approach signifies a shift in how ByteDance views talent, treating it as a core parameter for algorithm evolution rather than a disposable resource [3][10] - The center plans to cultivate talent through practical exploration, focusing on independent thinking and resilience [10][11] AI Development Initiatives - ByteDance has made significant advancements in AI, launching various key products and models, including the "Kouzi Space" for productivity enhancement and the "Doubao" general model [6][7] - The company has been rapidly upgrading its models, with the "Doubao 1.6" version released in June, and has achieved top rankings in video generation tasks [7][8] - ByteDance's recruitment plan for 2026 includes hiring over 5,000 fresh graduates, with a 23% increase in demand for R&D positions [8][9] Industry Context - The AI sector is at a critical juncture, transitioning from technology to industry application, with a pressing need for talent that can address real-world complex problems [10][12] - Zhang Yiming's focus on fostering cross-disciplinary talent aims to overcome the limitations of traditional talent training, which often leads to a disconnect between technical skills and business challenges [11][12] - The company is striving to create a closed-loop ecosystem for AI infrastructure, covering various applications from foundational models to intelligent agents [12][14]