Claude 正在構建更小的模型——具體方法如下
一位連線記者利用 claude 和 autoresearch 自主訓練並改進了一個小型語言模型，證明遞歸式自我改進在前沿實驗室之外是可行的。
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.