Unverified50% confidenceOpinionExact time
Minow's argument implies a sense of urgency in the temporal dimension: AI capabilities evolve continuously and at an accelerating pace, while laws and institutions update intermittently and with delay, and this asymmetry means establishing guardrails early is crucial.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe pace of AI transformation has compressed the window for gaining advantages to an extremely short period; gaps that once took years to open may now be decided within a matter of months.74% similarUnverifiedLong-running agents do not fail at the starting point but instead undergo chronic degradation over time in the form of latency drift, memory growth, and retrieval decay.71% similarUnverified长周期任务中随着执行时间延长，上下文窗口溢出、状态一致性维护和错误累积效应会急剧恶化，是当前AI智能体工程化的最大技术挑战之一71% similarUnverifiedSome major U.S. AI companies had previously advocated slowing the pace of technological development to allow a buffer for safety.70% similarUnverified在旧的同步、批处理架构上叠加异步、实时的AI决策层会产生数据延迟、上下文丢失和逻辑冲突等系统性问题70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1091612API
curl https://kongchang.com/api/v1/knowledge/claims/1091612MCP
get_claim(id=1091612)