睿思智能观察

AI Governance: From Essential Differences to the Reconstruction of Governance Logic

Currently, artificial intelligence has gradually evolved from the stage of auxiliary computing and semantic interaction to the era of autonomous operation and intelligent decision-making of intelligent agents, making scientific and systematic governance imperative. To explore AI governance, we need to first clarify two core issues: first, the essential differences between

海之安网络安全晨报

Post-3.15 Reflection: Why Governance Still Fails to Stop the "Bad Money" from Winning?

Lead-in: Every year, the "3.15 Gala" (World Consumer Rights Day) serves as a grand spectacle of "spectator-style law enforcement." However, when the spotlights dim, do the banned accounts and shuttered stores truly address the deep-rooted causes of the issue? This article attempts to deconstruct three

3.15之后，为什么我们依然陷入“劣币驱逐良币”的治理泥潭？

导语：每年的3.15晚会都是一场“围观式执法”的盛宴。然而，当聚光灯熄灭，那些被封禁的号、被查封的店，是否真的触及了治理的深层根源？本文尝试拆解这场狂欢背后的三大治理逻辑风险：为什么资质成了护身符？为什么创新成了欺诈的遮羞布？而我们，又为何总是陷入对监管的过度依赖？一、资质的悖论：当“护身符”成为“杀人刀” 在今年的3.15案例中，我们再次看到了熟悉的剧本：某自媒体账号披着“医学专家”的外衣，在私域流量池里大肆售卖违规产品。治理逻辑风险：目前的监管路径高度依赖事前资质审核。平台要求：必须有执业医师证才能发科普视频。这听起来很美，但现实极其残酷——那些大规模违规的群体，往往恰恰具备相关资质。他们利用资质绕过审查，通过“合规”的身份批量生产违规内容，精准收割流量。代价是显而易见的：真正具备执业素养、想传播真实科学知识的个体，可能因为繁杂的资质认证流程被拒之门外；而具备资质的违规者却在“劣币驱逐良币”的逻辑下疯狂掘金。核心观点：治理的根源不应是对内容的先验监管，

Tencent's AI Agent Strategy: Sitting on a Gold Mine, Digging in the Dirt

— On the "Defensive" Dilemma of Tencent's Agent Ecosystem and the Three-Step Breakthrough Path Introduction: When the "Crawfish" Collides with the "Penguin" In early 2026, the AI Agent sector witnessed a sudden paradigm shift. The explosive popularity of the open-source project OpenClaw (affectionately

Professor Tang Jie: The National Unified Market Is Shenzhen’s Greatest New Opportunity After the Special Zone Policy

Recently, Professor Tang Jie was invited to deliver a keynote speech on new strategic opportunities. As a respected economist and former Shenzhen leader, Professor Tang Jie is a member of the Board of Directors of The Chinese University of Hong Kong, Shenzhen, holds a bachelor’s, master’s and doctoral

深度解析 OpenClaw 智能体：安全风险管理的底层逻辑与应对之道

随着以 OpenClaw 为代表的自主智能体（AI Agent）快速迭代，其强大的自动化能力在提升效率的同时，也引入了与传统信息化系统截然不同的安全风险。我们不能简单地将智能体安全等同于传统的网络安全，而应从更深层次的“业务与作业安全”逻辑出发，构建全方位的防护体系。一、范式转移：从“系统安全”到“行为安全” 传统安全关注点在于开发控制、部署环境、运营操作及攻防漏洞。然而，OpenClaw 作为一种具备自主规划和工具调用能力的智能体，其风险核心已从代码层面的缺陷，演变为逻辑、供应链及个人隐私的综合性挑战。 1. 自动化流程规划的“主观偏离”风险 OpenClaw 会根据目标自动设计工作流。 * 风险点：自动化设计的“最优路径”往往基于算力逻辑，而非使用者的习惯或特定业务逻辑。这种“逻辑不一致”可能导致非预期的行为操作。 * 对策：建立流程审核与验证机制，避免盲目借用第三方 Script，在关键节点引入人工确认。 2. 泛供应链安全：工具链的风险传导