The article argues that recent executive overreach and politicization have severely undermined established norms of U.S. civil-military relations. To restore professional standards, the incoming Congress must actively exercise its oversight powers, moving beyond mere criticism to demanding transparency in defense policy and personnel decisions. Key reforms include enforcing meritocratic promotion processes, requiring documented justification for senior officer removals, and preventing the partisan use of the military. These actions are crucial for bolstering public trust and ensuring the military remains a nonpartisan instrument of civilian control.
How an AI bust can make Big AI bigger
English Summary
The article argues that the AI sector risks undergoing a 'digital Morganization,' where financial instability and overinvestment could lead to the consolidation of power among a few large hyperscalers. This concentration is driven by the financial vulnerability of independent data centers, which may struggle to support the massive debt financing the AI boom. While AI demand is soaring and costs are falling (Jevons Paradox), the resulting market structure threatens to eliminate competitive alternatives, leaving application developers reliant on the dominant Big AI players. Policymakers must proactively identify and mitigate these risks to prevent the loss of competitive infrastructure and maintain market diversity.
中文摘要
本文論述人工智慧（AI）產業面臨「數位摩根化」的風險，此現象可能導致金融不穩定和過度投資，進而使權力集中於少數幾家大型超大規模雲端服務提供商（hyperscalers）手中。這種集中化是由獨立數據中心面臨的財務脆弱性所驅動，這些中心可能難以支撐AI熱潮所需要的龐大債務融資。儘管AI需求激增且成本持續下降（即傑馮斯悖論），但由此形成的市場結構威脅著消除競爭替代方案，使得應用程式開發者不得不依賴少數主導的「大AI」玩家。因此，政策制定者必須主動識別並減緩這些風險，以防止競爭基礎設施的流失，並維持市場的多樣性。
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