中文
這一代 AI 泡沫，和歷史上所有泡沫都不一樣。
不是因為「沒有新敘述」，而是因為假裝有新敘述。
NVIDIA 的超級電腦、DGX、所謂「人人可用的算力革命」，看起來像創新，本質卻是把資料中心的算力、能耗與風險外包給整個文明。
當算力被包裝成「工具民主化」，責任就不再集中。
泡沫一旦爆開，巨頭可以說：
「你們也在用算力，這不是只有我們的問題。」
於是，問責被稀釋，因果被擴散，
普通使用者、企業、社會，全被拖進同一條敘述裡。
這就是泡沫悖論：
敘述仍在前進，
結構卻沒有生成新價值，
只生成更多電費、風險與混亂。
真正的泡沫，不是 AI 太強，
而是文明用「算力」假裝自己還在前進。
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English
This AI bubble is unlike any bubble in history.
Not because there is no new narrative,
but because there is a fake one.
NVIDIA’s supercomputers, DGX systems, and the so-called “democratization of compute” look like innovation.
In reality, they outsource data-center-level cost, energy, and risk to the entire civilization.
When compute is framed as a shared tool, responsibility dissolves.
When the bubble bursts, the giants can say:
“You used the compute too. This isn’t just on us.”
Accountability spreads.
Causality blurs.
Users, companies, and society are pulled into the same narrative trap.
That is the bubble paradox:
The story keeps moving forward,
but no new structural value is created—
only higher energy bills, higher risk, and deeper chaos.
The real bubble isn’t that AI is too powerful.
It’s that civilization is pretending progress by burning more compute.
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