SemiAnalysis 引述观点称，GLM 5.3 完全是在上一代模型基础上通过后训练构建的，作者称之为一次警醒。其认为后训练比从零预训练更省 GPU 算力，拥有专有数据的公司可以通过自研后训练超过部分闭源模型；对比 GLM 5.3 与 5.2 的网络攻防能力，差距明显，而这全部来自后训练。
AI 生成摘要 · 以原文为准
GLM 5.3’s biggest leap came from post-training alone.
“GLM 5.3 was built entirely by post-training the previous model. For me, that was a wake-up call.”
“Post-training is far more GPU-efficient than pre-training from scratch. Plenty of companies can’t afford to train a model from scratch, but they have proprietary data. They can post-train themselves and beat some of the closed models.”
“There’s still so much juice left to squeeze from post-training. We compared GLM 5.3’s cyber capabilities with 5.2, and it’s a night and day difference. That’s all just post-training.”
来源：SemiAnalysis · x.com