China's economic strategy is characterized by a persistent 'economics of denial,' prioritizing massive state-directed investment in advanced technology over addressing weak domestic consumption. This approach is rooted in a flawed belief that controlling physical capital will automatically generate productivity and wage growth, ignoring the structural imbalance where domestic demand consistently falls short of supply. This overinvestment and underconsumption model is unsustainable. Consequently, Beijing's policies will continue to generate global deflationary pressures and escalating trade friction, necessitating a fundamental pivot toward consumption-led growth for long-term stability.
AI agents put offensive cyber within reach of novices: Comparing the performance of AI agents to humans in offensive cyber operations
English Summary
The RAND report concludes that advanced AI agents have dramatically lowered the barrier to entry for offensive cyber operations, making complex hacking tasks accessible even to novices without specialized expertise. Evidence from testing shows that modern models can solve challenging Capture-the-Flag (CTF) scenarios quickly and cheaply using only straightforward prompting, a significant leap compared to previous findings with 2025 AI tools. This rapid democratization of powerful offensive capabilities fundamentally alters the threat landscape by making sophisticated cyberattacks widely available. Policymakers must therefore overhaul defensive strategies and intelligence assessments, as current evaluation methods are insufficient to gauge the true scope of the emerging AI-driven cyber risk.
中文摘要
RAND報告結論指出，先進的AI智能體大幅降低了進行進攻網路行動的門檻，使得複雜的駭客任務甚至對沒有專業知識的新手而言也變得可及。測試證據顯示，現代模型僅透過簡單的提示詞（prompting），就能快速且低成本地解決具有挑戰性的尋旗（CTF）情境，這相較於先前使用AI工具的發現是一個巨大的飛躍。這種強大攻擊能力的迅速普及化，從根本上改變了威脅格局，使得複雜的網路攻擊變得廣泛可得。因此，政策制定者必須徹底改革防禦策略和情報評估，因為現有的評估方法不足以衡量新興AI驅動網路風險的真實範圍。
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