Hugging Face遭黑客AI攻擊後，先用美國商業大模型API分析1.7萬條日誌，卻因無法區分攻防人員遭安全機制誤判拒阻；隨後轉向自身基礎設施部署中國開源模型GLM5.2，成功完成海量日誌取證。事件突顯不同AI模型在安全場景下的表現差異。
美國AI服務成本飆升，逼使Coinbase等美企轉用中國開源模型降本。Coinbase將智譜GLM5.2、月之暗面Kimi K2.7設爲工程師默認工具，在不限用量的同時大幅壓縮AI開支。降本已成核心驅動力。
Coinbase轉向中國AI模型降本增效。通過採用GLM5.2和Kimi2.7，公司AI支出減半，代幣用量大增。新自動路由系統智能分發任務，將緩存命中率從5%大幅提升，同時開發者仍保留模型選擇自由。
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