Chubby♨️ · @kimmonismus · X·2026-09-17 22:57·42分钟前
AI 导读

智谱(Zai)称 GLM-5.3 帮助构建并优化了支撑 GLM-5.3-Flash 的推理基础设施,工程师与智能体协作在不到两周内将端到端吞吐量提升至初始基线的 3 倍。其关键在于密集反馈——本地正确性测试、执行轨迹、微基准与端到端测量,从而实现有针对性的假设验证,而非仅依赖聚合性能指标。智谱称这是迈向递归自我改进的早期一步,并将直接改变下一代模型的训练方式。

Chubby♨️@kimmonismus
49AI 编辑部评分,满分 100
2026-09-17 22:57· 42分钟前
AI 导读

智谱(Zai)称 GLM-5.3 帮助构建并优化了支撑 GLM-5.3-Flash 的推理基础设施,工程师与智能体协作在不到两周内将端到端吞吐量提升至初始基线的 3 倍。其关键在于密集反馈——本地正确性测试、执行轨迹、微基准与端到端测量,从而实现有针对性的假设验证,而非仅依赖聚合性能指标。智谱称这是迈向递归自我改进的早期一步,并将直接改变下一代模型的训练方式。

While the US is discussing a slowdown, China is currently putting full force into its RSI.

Zai says GLM is taking early steps toward recursive self-improvement: AI helping build and optimize the infrastructure that runs AI.

GLM-5.3 helped build the infrastructure running GLM-5.3-Flash, with engineers and the agent tripling inference throughput *in under two weeks*. They say this work will “directly change how the next generation of models is trained.”

Z.aiWe’re sharing how GLM-5.3 helped build and optimize the inference infrastructure serving GLM-5.3-Flash. The system went from its first successful run to product...

来源:Chubby♨️· x.com