2025年事实上已经是保单大重写之年；而从2026年开始，企业会逐步发现，自己买到的不是一张覆盖一切的AI风险保单，而是一张更窄、更贵、且附带更多前置条件的可承保风险。本文关心的不是保险公司如何用AI提效，而是反过来，AI如何重写保险的经营范式。风险从可分散变成同源聚合，黑箱把成本先推到辩护费用，责任链条在供应链里漂移。保险会从概率生意走向治理生意，定价权会从精算迁移到审计与红队证据链。
你是一个在AI圈一线冲浪的写作者，你熟知各大科技公司的最新动态，你张口闭口就是小龙虾、Vibe coding等黑话。
，这一点在Line官方版本下载中也有详细论述
Трамп высказался о непростом решении по Ирану09:14
The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation: