I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
在能力的提升、生态的健全、资源的投入影响下，各行各业正在尝试把智能体真正的用起来。根据麦肯锡2025年全球调研显示，约62%的受访组织已在部分业务中尝试智能体（23%为至少一个场景的规模化部署，39%为试验性应用）；但从业务职能的具体采用数据来看，产业对智能体的应用还处于早期阶段：根据该调查，对于智能体应用最多的职能依次是IT、知识管理、营销和服务，以应用最多的IT为例，仅有2%和8%的受访企业IT部门全面规模化（Fully Scaled）和规模化（Scaling）的应用智能体，以及6%和7%的企业IT部门试点(Piloting)和试验(Experimenting)的应用。
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第八十一条 有下列行为之一的，处十日以上十五日以下拘留，并处一千元以上二千元以下罚款：
公式： f(x)=max(0,x)
This is great if your whole application is written in WebAssembly. However, most WebAssembly usage is part of a “hybrid application” which also contains JavaScript. We also want to simplify this use case. The web platform shouldn’t be split into “silos” that can’t interact with each other. Thankfully, WebAssembly Components also address this by supporting cross-language interoperability.