These debt-funded projects create “indirect but potentially material” exposure to fiscal risk, the analysts wrote. Beyond infrastructure, governments will have to plan for labor disruptions and related social support. The IMF estimates 40% of global jobs—and 60% in advanced economies—are exposed to AI, particularly high-skill roles, potentially eroding payroll taxes while spiking demand for reskilling and safety nets.
这也是为什么2025年会成为商业保险的大重写之年。模板条款一旦确定，承保流程就会系统更新，问卷会追问企业把生成式AI用在何处、谁负责治理、是否做红队、是否有监控与日志；除外责任会变得更硬；子限额与免赔会围绕治理证据链重新定价。标准化的意义不只在于更严，而在于它把责任边界从个别公司各写各的升级为行业模板。进入模板时代，企业很难再用没注意到来逃避治理。要么承认暴露并把它买回来，要么用可验证控制把它变成可承保风险。
。safew官方版本下载对此有专业解读
The proposal for generic methods for Go, from Robert Griesemer himself, has been officially accepted，这一点在同城约会中也有详细论述
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: