영어 모의고사 (자동 편성)

Long before a user finishes typing a sentence, the keyboard on most smartphones has already begun ①guessing what word comes next. This feature relies on a language model ②trained to notice which words commonly follow one another, so it can offer a shortlist of likely candidates above the keyboard, saving users countless keystrokes over the course of a day. The system also adapts to each individual, gradually ③learning a person's favorite phrases, slang, and even the names of friends that no generic dictionary would recognize. This constant personalization, however, creates a subtle side effect that few users ④notices. Because the keyboard nudges people toward its own suggestions, some linguists worry that autocomplete may be quietly narrowing everyday vocabulary, encouraging writers ⑤to accept a convenient suggestion rather than searching for the more precise word.

Every semester, students groan when the fire alarm rings for another routine drill, filing out of the building as if the exercise were simply a break from class. This ①serious attitude, however, overlooks why the drill exists in the first place. During an actual fire, thick smoke can fill hallways within minutes, cutting ②visibility to almost nothing and making it dangerously easy to panic or take a wrong turn. Repeating the same evacuation route again and again trains the body to move automatically, even when the mind is too frightened to think clearly. Firefighters note that students who have practiced an escape route ③calmly walk toward the nearest exit purely out of habit, while those unfamiliar with the building often ④freeze or hesitate at doorways. A fire drill that feels pointless in the classroom can therefore become the very reason a real evacuation succeeds without ⑤injury.

Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox. The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks. What makes the system effective is that it keeps learning after launch: whenever a user marks a message as spam, that action becomes new training data, sharpening the filter's future decisions. This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. As a result, _______________.

Many teachers and parents worry that today's teenagers are losing the ability to read long, complex texts. National test scores show a slow decline in reading comprehension over the past ten years, and some experts blame smartphones and short videos for shortening students' attention spans. Other researchers disagree with this simple explanation. They point out that teenagers today read constantly, just in different forms, such as text messages, captions, and online articles. According to this view, the real problem is not that students read less overall, but that _______________. A team of researchers recently found that students who read at least one full book every month scored noticeably higher on comprehension tests than students who mainly read short online posts.

When an image-generating program produced a strikingly detailed painting in the exact style of a well-known illustrator within seconds, my art club spent an entire meeting arguing about what it actually meant for artists. (A) Others worried that the program had been trained on thousands of real illustrations scraped from the internet without the original artists' permission, meaning the tool's impressive results were quietly built on other people's uncredited labor. (B) Some members felt excited, imagining the software as a helpful tool that could speed up brainstorming or generate quick backgrounds for their comics. (C) A few pointed out that the final image, however skillful it looked, reflected no personal memory, struggle, or intention, only patterns learned from existing pictures, and the debate never reached a clear conclusion.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track. (A) The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound pleasant together, and it recombines these patterns into something new. (B) For independent creators who cannot afford a composer or expensive licensing fees, this has been a genuine breakthrough. (C) Professional musicians, however, remain divided, since a flood of AI-generated background music could quietly push human composers out of smaller, lower-budget projects.

Economists have long debated whether prosperity and environmental quality are fundamentally opposed, or whether the relationship between them changes shape as an economy matures. (A) In its early stages, industrializing nations prioritize output over conservation, treating clean air and water as expendable costs of development to be addressed later. Beyond a certain point, however, rising incomes generate both the technological capacity and the political will to demand stricter regulation, so degradation begins to reverse even as production keeps expanding. (B) Some scholars regard this trajectory as a reassuring paradox, suggesting that the very growth blamed for ecological harm may eventually finance its own repair. Critics, by contrast, argue that the curve rests on a narrow selection of pollutants that happen to decline with wealth, while ignoring greenhouse gases and resource depletion, which show no comparable tendency to fall. (C) The Environmental Kuznets Curve, a hypothesis borrowed from earlier theories of income inequality, proposes that pollution initially rises alongside economic growth before eventually declining once a society crosses a certain threshold of wealth.

If the theory is applied consistently to the entire sealed box, the cat itself would have to be considered simultaneously alive and dead. Physicist Erwin Schrödinger devised a now-famous thought experiment not to describe an actual laboratory procedure, but to expose an absurdity hidden within a leading interpretation of quantum mechanics. ( ① ) Imagine a cat sealed inside a closed box together with a radioactive atom, a Geiger counter, and a vial of poison gas rigged to break open the instant the atom decays. ( ② ) Because the atom's decay is governed by genuine quantum randomness, standard quantum theory describes the atom, before anyone looks, as existing in a superposition of having decayed and not having decayed at the same time. ( ③ ) Until an observer opens the lid and looks inside, no measurement has yet forced the system into one definite outcome or the other. ( ④ ) Schrödinger intended this image to sound obviously ridiculous. ( ⑤ ) He used the cat's absurd fate to question whether observation truly determines physical reality, or whether the mathematics is simply being pushed too far.

Treating a wellness app as a substitute for medical expertise, they warn, can be just as risky as ignoring a warning altogether. A growing number of health apps now track steps, sleep, and heart rate throughout the day, quietly building a detailed picture of a user's physical condition without requiring a single visit to a doctor's office. ( ① ) By comparing this stream of data against patterns drawn from millions of other users, the app's algorithm can flag early warning signs, such as an irregular heartbeat, long before the person experiencing it would have noticed anything unusual on their own. ( ② ) For people living far from specialists or unable to afford frequent checkups, this kind of constant monitoring can feel like a genuine safety net. ( ③ ) Doctors caution, however, that these apps are designed to detect patterns, not to diagnose illness. ( ④ ) A worried user should always confirm any alarming reading with a professional rather than trusting an app's suggestion alone. ( ⑤ )

주어진 문장: This distinction between merely sensing a stimulus and truly perceiving it matters far beyond the psychology laboratory. It would be comforting to believe that anything sufficiently large or obvious appearing within our field of vision will automatically capture our attention, yet decades of research into inattentional blindness suggest otherwise. ( ① ) When people are absorbed in a demanding task, such as counting how many times a ball is passed between players, they frequently fail to notice an unexpected and conspicuous event unfolding in plain sight, even something as unlikely as a person in a costume walking through the scene. ( ② ) This failure does not stem from a defect in the eyes, which register the stimulus perfectly well, but from the fact that conscious perception depends heavily on where attention has been directed. ( ③ ) Policymakers ought to take this finding more seriously than they currently do, because it implies that simply placing a warning sign within someone's visual range offers no guarantee that it will be consciously registered. ( ④ ) Designing safer environments, therefore, requires accounting for the limits of attention itself, not merely assuming that visibility alone ensures awareness. ( ⑤ )