Hugging Face遭黑客AI攻击后，先用美国商业大模型API分析1.7万条日志，却因无法区分攻防人员遭安全机制误判拒阻；随后转向自身基础设施部署中国开源模型GLM5.2，成功完成海量日志取证。事件突显不同AI模型在安全场景下的表现差异。
美国AI服务成本飙升，逼使Coinbase等美企转用中国开源模型降本。Coinbase将智谱GLM5.2、月之暗面Kimi K2.7设为工程师默认工具，在不限用量的同时大幅压缩AI开支。降本已成核心驱动力。
Coinbase转向中国AI模型降本增效。通过采用GLM5.2和Kimi2.7，公司AI支出减半，代币用量大增。新自动路由系统智能分发任务，将缓存命中率从5%大幅提升，同时开发者仍保留模型选择自由。
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