语言模型的成长轨迹是否遵循发展规律

Within two years, an infant who can barely lift her head learns to sit, reach, and walk. Developmental science found that this growth is both continuous and phased: skills improve smoothly, yet the pace of improvement changes at identifiable ages, and the field built statistical tools to locate those changes. Language models also transform across training, and whether their capabilities grow smoothly or in jumps is actively debated. The present study argues that the developmental answer applies to artificial learners as well, and that the developmental tools can show it. We apply an analysis p