[청랑 킬러문항] 2027 수능 영어 빈칸 문제 #77

아래 지문을 읽고 3분 내에 정답을 맞춰 댓글로 남겨보세요!
지문)
In the development of artificial intelligence, learning is fundamentally additive. A model improves by ingesting massive datasets, extracting statistical patterns, and adjusting an ever-expanding web of parameters. This leads to a cultural assumption that human learning should follow the same trajectory: we often presume that an expert simply possesses a larger mental database than a novice. Yet, cognitive studies of elite performers reveal a paradoxical reality. While beginners rely on a dense scaffolding of explicit rules to navigate a domain, true masters operate differently. As they advance, they do not merely accumulate more instructions; they actively discard them. This process of cognitive subtraction allows the expert to perceive the underlying structure of a problem directly, bypassing the clunky, step-by-step analysis that slows down the amateur. Where the novice sees a chaotic array of isolated variables, the master sees a unified field of tension and flow. Therefore, the passage implies that the pinnacle of human cognitive mastery is achieved not by endlessly stockpiling information, but by a capacity to ____________________.
Vocabulary
| additive | 부가적인, 덧셈의 |
| ingest | (정보 등을) 삼키다, 수집하다 |
| parameter | 매개변수 |
| trajectory | 궤적, 경로 |
| scaffolding | 발판, (인지적) 구조물 |
| bypass | 우회하다, 건너뛰다 |
| amateur | 아마추어, 초보자 |
| variable | 변수 |
문제) What best completes the blank?
① continuously upgrade one's analytical frameworks with the latest available data
② strip away explicit rules to intuitively grasp the essential simplicity of a complex system
③ mimic the processing power of machine learning to minimize computational errors
④ rely entirely on innate talent while rejecting formal training from the outset
⑤ categorize every new anomaly into an increasingly detailed set of sub-rules
정답과 해설은 매주 토요일 공개!
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[청랑 킬러문항] 2027 수능 영어 빈칸 문제 #76
아래 지문을 읽고 3분 내에 정답을 맞춰 댓글로 남겨보세요!지문)We often mistake stability for health, assuming that a system without visible fluctuations is the most robust. In engineering, economics, and even personal development, o
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