请问HN：公司正在迅速削减人工智能工具的开支，应该如何准备团队？
我所在的公司现在正在迅速计划缩减人工智能工具的支出。Claude的代码访问基本上要被取消，并且禁止员工使用个人账户。
原因显然是成本，我们每月的Claude账单对公司来说已经变得天文数字，几乎是我们SaaS云支出的三倍。
显然，我们将获得对Codex的有限访问权限，并且计划的费用大幅降低。
我尝试了一些本地模型，比如Kimi，但大多数模型几乎无法正常工作。
我非常担心，因为工作量的预期仍然需要保持一致。更不用说团队已经围绕Claude建立了整个工作流程，我感到非常担忧和沮丧。
我该如何帮助我的团队顺利过渡？有没有适合在只有16GB内存的本地机器上运行的本地模型？
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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?