영어 모의고사 (자동 편성)

Self-driving technology is advancing rapidly, and its impact on the transportation industry ①is becoming increasingly visible. Companies are testing autonomous trucks ②that can travel long distances without human drivers, potentially transforming how goods move across countries. Millions of professional drivers worry about ③lose their jobs as automation spreads through the industry. Experts predict that certain driving jobs, particularly long-distance trucking, may ④shrink significantly within the next two decades. New roles are also emerging, including remote vehicle operators who monitor fleets of autonomous trucks and technicians ⑤who maintain the complex sensors these vehicles depend on.

Every cell in the human body follows an internal timer known as the circadian rhythm, a roughly twenty-four-hour cycle ①that governs when we feel alert and when we feel drowsy. This clock is regulated primarily by a tiny cluster of neurons in the brain ②that responds to light entering through the eyes. When morning sunlight strikes the retina, the cluster signals the body ③to suppress sleep hormones and raise body temperature, preparing us for activity. As evening approaches and light fades, the same mechanism triggers the release of melatonin, a hormone ④promotes drowsiness. Because this rhythm evolved around the natural cycle of day and night, modern habits such as staying indoors under artificial light or working night shifts can push the internal clock out of sync with the external environment. Such misalignment does not simply cause tiredness; it has also ⑤been associated with digestive problems and reduced concentration, suggesting that timing matters as much as total sleep hours.

As a result, the ads that appear on a person's screen often feel remarkably ①specific, sometimes referencing items browsed only minutes earlier. Supporters argue that this level of precision benefits consumers by ②reducing exposure to irrelevant advertisements and highlighting products they genuinely need. Some researchers have found that people who see highly personalized advertisements make impulsive purchases ③less frequently than those who see generic ones. Because these algorithms operate largely without public oversight, few consumers fully understand how their personal data shapes what they eventually buy. Greater ④transparency, many experts argue, would allow consumers to make more ⑤informed decisions about their own online behavior.

Only a decade ago, translation apps produced sentences so ①awkward that users often laughed at the results rather than trusting them. Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably ②chaotic. Frequent travelers now point their phone cameras at street signs and receive an ③instant translation overlaid on the screen. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can ④completely change the intended meaning. For this reason, professional translators argue that these apps are best treated as a helpful ⑤starting point rather than a final, polished result.

For most of last year, Junho refreshed his social media feed constantly, ①terrified of missing a party, a trending meme, or gossip among his friends. This restless anxiety, often called FOMO, or the fear of missing out, left him ②relaxed and strangely unsatisfied even after hours of scrolling. One weekend, his phone battery died during a hiking trip, and, to his surprise, he actually ③enjoyed the quiet afternoon without notifications interrupting his thoughts. Curious about this ④unexpected calm, Junho began deleting social apps for a few hours each day. This shift in attitude reflects what psychologists now call JOMO, a mindset that treats disconnection as ⑤freedom rather than loss.

Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably ①detailed profile of individual taste. Listeners often ②praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. A song that the algorithm decides not to promote may ③thrive among listeners no matter how well it was written, meaning that an artist's success can depend as much on pleasing an algorithm as on pleasing an ④actual audience, a dependence some musicians find deeply ⑤unsettling.

Many companies today advertise their products as environmentally friendly, yet not all of these claims are accurate. This practice, known as greenwashing, involves exaggerating or fabricating a product's positive impact on the environment. Some brands print vague terms such as "natural" or "eco-conscious" on packaging without providing any evidence to support these labels. Consumers, who are increasingly concerned about climate change, often trust such claims without questioning them closely. As a result, they may pay higher prices for products that are no more sustainable than ordinary alternatives. Genuine environmental efforts, which usually require significant investment and long-term planning, are far more costly than simply changing a label. Therefore, governments should establish clear standards that require companies to ___________.

When people encounter solid scientific evidence about climate change, we might expect them to accept it without hesitation. However, many individuals still dismiss or downplay such evidence, and psychologists explain this pattern through a concept called motivated reasoning. Motivated reasoning refers to _______________. For example, a person whose livelihood depends on the fossil fuel industry may unconsciously search for reasons to doubt climate data, even while claiming to value scientific accuracy. This happens because accepting uncomfortable facts can threaten a person's sense of self or demand costly lifestyle changes. Therefore, simply presenting more data rarely persuades a committed skeptic. Instead, experts suggest connecting climate information to values the person already holds, such as family safety or economic stability, so that acceptance feels natural rather than threatening.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. (A) The system is not without drawbacks, however, since favoring titles similar to what a viewer already enjoys can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures. (B) Instead, a recommendation algorithm compares that viewer's habits with patterns drawn from millions of other users, then ranks thousands of titles in order of predicted interest. (C) This approach keeps viewers engaged far longer than a simple list of new releases ever could, which is precisely why streaming companies invest so heavily in refining it.

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm figure out what it contains. (A) The system works by breaking an image down into countless small features, such as edges, colors, and shapes, then matching that pattern against millions of stored examples. (B) This process, known as reverse image search, compares the visual patterns in a picture against a massive database, identifying everything from a landmark in the background to the exact model of a pair of sneakers. (C) It is not flawless, however; a blurry photo, an unusual camera angle, or an object partly hidden behind another can easily confuse the algorithm.