企业开始限制AI用量
为什么值得看
美国企业因AI成本飙升开始配给式使用，从全员开放转向按需审批。这标志AI从实验阶段进入成本敏感的真实生产环境，工程师需重新评估ROI。
编辑判断
这不是简单的省钱，而是CFO和CTO的权力博弈转折点。过去两年AI预算走的是创新实验科目，现在被归入常规IT成本中心，审批链条完全不同。
对工程师的实际影响：内部AI项目从证明能做变成证明值得做，需要建立精确的token级成本核算和效果归因。建议现在就开始做A/B测试的边际成本分析，否则Q3预算季会被砍。
另外，这解释了为什么Anthropic和OpenAI近期密集推推理模型和批处理折扣——大客户已经开始价格谈判，API定价权在转移。
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负面 100 条评论
核心争论：AI 应作为自动化代码生成工具还是直接替代脚本，成本失控源于误用
In my opinion, the problem is not even the cost. The problem is that people are using AI for running recurrent stuff instead of writing code to automate it. For example. Imagine that you are comparing two documents (let's assume diff doesn't exist). You could ask an AI to compare the differences fro
Same, even opus favor short term solution and scripts with a billion flags that constabtly require rescanning to understand how to launch it is a constant struggle to get it to build sane default and reusable scripts that run with minimal parameters
Yeah, and what's up with adding dry run to everything? I saw some code that doesn't write anything but still the AI added a dry run which had a completely different codebase