判断智能体是否可信：看规则、变更与结果，而非“AI”标签
Why we picked it
一条关于智能体信任的短评：别因为写着 AI 就信，要看规则清不清楚、改动可不可见、结果能不能看懂。
这篇短文提出一个判断标准：仅凭“AI”标签不足以信任一个智能体。作者认为可信度来自三个可验证的要素——清晰的规则、可见的变更记录、可理解的结果。
Body
换句话说，评估智能体应看它的行为是否透明、可追溯，而不是看它是否冠以 AI 之名。
Original · @TrenchersAI
'AI' is not a reason to trust an agent.
Clear rules, visible changes and understandable results are.
Industry Coordinates & Source Verification
This report is categorized under AITOP's "How-to" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and AI regulation, compliance frameworks, and sovereign compute policy. Key entities and technical topics under continuous tracking include 智能体, AI安全, 信任评估.
Source attribution: curated from @TrenchersAI (@TrenchersAI).
