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唐杰谈GLM-5.3：后训练扩展律与参数死亡
原标题：[AINews] Death of Params: Z.ai CEO Jie Tang on GLM 5.3 and the new Post-training Scaling Law
AI 摘要
智谱CEO唐杰在X上发文，提出参数数量不再是衡量模型能力的唯一标准，需结合数据量、算力分配和运行条件。GLM-5.3通过长时程环境强化学习实现性能提升，其训练环境、评判器和验证器均为合成生成。同时，Ornith-1.5等新开源模型发布，强调端到端自我改进能力。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
We’ve covered GLM 5.2 very excitedly before, and Prof Jie Tang’s belief that there will be an open weights Fable-class model by end of the year (spot check - with 134 days left, there are now two 2-3T models (Qwen 3.8 Max and Kimi K3) with estimates that Fable is 3-7T, and only 2 points higher on the AA index.) Prof Jie Tang is back on X to tell us that our shorthand for model sizes is no longer enough: “Parameter count is only meaningful alongside three others — how much data you have, where yo
发布时间：2026-08-20 13:17
抓取时间：2026-08-20 13:20
来源机构：swyx and Latent Space