Lee Robinson@leerob · XCursor 正用当前版 Composer 训练下一代 Composer，形成递归自我改进循环。训练大型模型需要大量 RL 数据（模型通过“游戏”提升能力），新模型能自动配置开发环境（如自动安装依赖、修复故障）。Composer 2 在环境配置能力上显著优于版本 1，模型越强，越擅长创造训练其继任者的条件。Cursor 的 autoinstall 系统让前代 Composer 设置 RL 训练环境，使下一代专注于解决更难题，每一代都解锁先前版本不具备的能力。
We're training the next version of Composer… with Composer！
The model is always learning from itself. This kind of "recursive self-improvement" might sound new， but it's been happening for many months！
For example， training big models requires creating *lots* of data for RL - essentially games the model plays to improve at any task you can grade.
The newest models can configure their own environments to make those games playable （auto-installing dependencies， fixing broken setups）.
Composer 2 was *dramatically* better at this than version 1. So the better the model gets， the better it gets at creating the conditions to train its successor.