영어 모의고사 (자동 편성)

Change blindness refers to a striking limitation of human perception in which observers fail to notice substantial alterations to a visual scene, provided the change occurs ① during a brief disruption such as an eye movement or a momentary obstruction. In a now-famous demonstration, researchers showed ② participants two versions of a photograph in alternation, separated by a short blank screen, and asked them to identify what had changed. Even when an entire building disappeared or a person's clothing shifted color, many viewers stared at the picture without detecting ③ anything unusual. This phenomenon occurs because visual attention, rather than passively recording every detail like a camera, actively selects only a narrow subset of information for processing at any given moment. Whatever falls outside that narrow spotlight represents ④ only sparsely, if at all, leaving it vulnerable to being overwritten without notice. Consequently, change blindness demonstrates that our impression of a rich, complete visual world is, to a surprising extent, an illusion constructed ⑤ by the mind, not a faithful record of external reality.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of ①which was created without the artists' knowledge or consent. Supporters of the technology argue that this process ②resembles how a human student learns by studying the masters, absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③breaks down at scale: a single AI model can absorb millions of works in days and then generate outputs that directly compete with the very artists whose work ④trained it. Courts around the world are now ⑤ask to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Imagine two travelers preparing for the same trip: one ①agrees to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. Statistically, air travel remains far ②safer than driving the same distance by car, yet vivid, emotionally charged images tend to ③dominate human judgment more powerfully than dry statistics ever could. This tendency, in which people estimate how likely an event is based on how easily examples come to mind rather than on actual data, quietly shapes countless everyday decisions. News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are ④common, even though official records clearly show the opposite. Advertisers and politicians alike ⑤exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to.

Consider a student who ①genuinely intends to study for tomorrow's exam yet, when the evening actually arrives, chooses to watch another episode of a favorite show instead, promising herself she will surely study harder next week. This pattern, in which the pull of an immediate pleasure ②overwhelms the value of a distant benefit, appears again and again across ordinary life, from postponed exercise to delayed savings. People do not necessarily fail to understand that the future reward matters more; rather, whatever happens right now simply feels disproportionately more urgent and vivid than anything scheduled for later. Behavioral economists note that this preference ③weakens considerably once both options are pushed into the future, which is why planning a diet starting next month feels ④impossible compared with skipping dessert tonight. Such inconsistency helps explain why gym memberships go unused and retirement accounts remain ⑤underfunded, despite people's stated intentions.

A few years ago, spotting a manipulated video required a trained eye and ①specialized software. Today, freely available applications allow almost anyone to swap a face or fabricate a voice ②convincingly enough to fool casual viewers within minutes. This shift has quietly ③reinforced one of the oldest assumptions in human communication: that seeing and hearing something is a reasonably reliable way to confirm it happened. Journalists now face the burden of verifying footage that once would have been accepted as ④self-evident proof. Perhaps more troubling than any single fake video is the broader effect on public trust, in which genuine footage can be ⑤dismissed as fabricated simply because deepfakes exist.

For much of the twentieth century, memory researchers assumed that once a memory had been ①consolidated—transformed from a fragile, short-term trace into a stable, long-term representation—it remained essentially fixed, immune to further modification unless the underlying neural circuitry was physically damaged. This assumption, however, was ②overturned by a body of research demonstrating that the act of retrieval itself can ③stabilize a previously consolidated memory, rendering it temporarily susceptible to alteration before it is, in a sense, filed away again. During this narrow window, which typically lasts only a few hours, the memory can be ④strengthened, weakened, or even subtly distorted by new information encountered in the interim, after which it must undergo a second round of stabilization, a process now widely referred to as reconsolidation. Consequently, what we experience as a stable recollection may actually be a continuously ⑤revised construction, reshaped every time it is summoned into conscious awareness and returned to storage.

The immune system produces an almost limitless variety of antibodies, each shaped to latch onto one particular molecular target with remarkable specificity. Monoclonal antibody drugs harness this natural precision by cloning a single antibody-producing cell in the laboratory, generating an army of identical antibodies built to recognize one target, such as a protein on a cancer cell or a molecule driving an autoimmune disease. _______________. Manufacturing monoclonal antibodies remains far more complicated than producing a conventional small-molecule pill, since living cells must be cultivated in carefully controlled bioreactors for weeks before the antibody can be purified and prepared for use. This complexity keeps monoclonal antibody treatments considerably more expensive than most conventional drugs, a cost that continues to shape debates over pricing and access.

Loss aversion does not only influence individual financial choices; it also shapes how information is presented and interpreted in everyday transactions, a phenomenon that marketers and policymakers have learned to exploit deliberately. (A) For example, a retailer who frames a price reduction as "avoid losing a $10 discount by ordering today" typically generates a stronger customer response than one who simply advertises "get a $10 discount," even though both messages describe an identical saving. (B) In other words, the manner in which a choice is presented can activate the same psychological aversion to loss that governs decisions about resources already possessed, meaning that framing itself carries real economic weight. (C) This effect is not confined to retail settings, however; negotiators, too, often treat concessions as losses rather than as steps toward mutual gain, which makes compromise feel more costly than it objectively is.

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. (A) The doctor may argue that they simply trusted a tool the hospital required them to use, while the hospital may blame the software company instead. (B) Yet the growing reliance on these tools raises an uncomfortable legal question: when an AI system misses a diagnosis, who is responsible? (C) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable.

During recent years, this gap became impossible to ignore, as families in rural areas or low-income neighborhoods struggled to complete schoolwork that assumed a stable connection and a personal device. As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. ( ① ) Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. ( ② ) That assumption is increasingly being reconsidered, particularly as more essential services move online by default. ( ③ ) Closing this divide will require more than simply distributing devices. ( ④ ) It will demand sustained investment in the physical networks that carry information into every home, regardless of income or location. ( ⑤ )