Claude 正在构建更小的模型——具体方法如下
一位连线记者利用 claude 和 autoresearch 自主训练并改进了一个小型语言模型，证明递归式自我改进在前沿实验室之外是可行的。
a journalist used claude to drive the autoresearch framework, automating the training and iterative refinement of a small language model on an nvidia dgx without human intervention. while early outputs were incoherent, the model improved autonomously over time. the experiment extended to using prime intellect to create a custom model, frontier_paper_curator, for research curation using synthetic data and reinforcement learning. this shift suggests specialized, self-improving models can be built by individuals, potentially reducing the industry's reliance on large, centralized frontier labs for specific applications.