Why might actual usage fall short of theoretical capability? Some tasks that are theoretically possible may not show up in usage because of model limitations. Others may be slow to diffuse due to legal constraints, specific software requirements, human verification steps, or other hurdles. For example, Eloundou et al. mark “Authorize drug refills and provide prescription information to pharmacies” as fully exposed (β=1). We have not observed Claude performing this task, although the assessment seems correct in that it could theoretically be sped up by an LLM.
李可佳：我们做了一个7步课程，这套课程更像是一个家长课程（入学前准备）。包含四个部分：激活、稳定、进化和毕业。用于解决龙虾部署中的问题和龙虾基础能力的建设，帮助用户实现从龙虾的安装到具备自主运行能力。。关于这个话题，PDF资料提供了深入分析
当单一供应商占据了绝大多数份额时，下游 AI 模型跑得再快，大部分利润都会被“卖铲子的人”抽走。Meta 的“备胎转正”战略，本质上是在用海量的资本，强行砸出一个充分竞争的硬件市场。，更多细节参见下载安装汽水音乐
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