Ask HN：公司正在快速削减 AI 工具支出，团队该如何应对？
6 分•作者: Snakes3727•大约 2 个月前
我所在的公司正在迅速计划缩减其在人工智能工具上的支出。基本上，Claude 代码访问权限将被移除，并且禁止员工使用个人套餐。
原因是成本问题，显然我们每月的 Claude 账单对整个组织来说已经变得非常高昂，几乎是我们的 SaaS 云支出的三倍。
据称，我们将获得对 Codex 的有限访问权限，而且套餐费用将大幅降低。
我尝试过一些本地模型，比如 Kimi，但大多数都几乎无法正常工作。
我非常担忧，因为大家对工作量的期望保持不变。 忽略团队已经围绕 Claude 建立起整个工作流程的事实，我感到非常焦虑和沮丧。
我怎样才能帮助我的团队顺利过渡？
有没有可以在只有 16GB 内存的本地机器上良好运行的本地模型？
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Company I work for is now rapidly planning to scale down its AI tooling spend. Claude code access is basically getting removed and people are forbidden from using personal plans.<p>Reasoning is cost apparently our monthly Claude bill has become astronomical for the org. Nearly 3x our saas's cloud spend.<p>Apparently we are going to get limited access to codex at severely reduced plans.<p>I have tried some local models such as Kimi, however most are barely functional.<p>I am very concerned as the expectation of amount of work done is to remain consistent. Ignoring the fact teams have made entire workflows around Claude I am very worried and frustrated.<p>How can I help my team ease this transition?
Are their local models that run well on local machines that only have 16gb ram?