AI 导读
GLM-5.3 驱动的 Infra Agent 为 GLM-5.3-Flash 设计、调试并优化了覆盖 100,000+ 国产芯片的生产推理基础设施，据称不到两周端到端吞吐达到初始基线的 3 倍。硬件效率和每 token 成本据称与主流 Nvidia GPU 相当，团队把这一过程称为递归自我改进，即模型改进运行它自身的基础设施。
正文
https://t.co/eXv6hK3h5C says its GLM-5.3-powered Infra Agent designed, debugged and optimized production inference infrastructure for GLM-5.3-Flash across 100,000+ Chinese chips.
In under two weeks, throughput reached 3× the initial baseline, with hardware efficiency and per-token costs reportedly comparable to mainstream Nvidia GPUs.
The team calls it recursive self-improvement: a model improving the infrastructure that runs it.
来源：@thexpin · x.com