영어 모의고사 (자동 편성)

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm ①figure out what it contains. This process, known as reverse image search, compares the visual patterns in a picture against a massive database, ②identifying everything from a landmark in the background to the exact model of a pair of sneakers. Shoppers use it to find where an item seen on the street can ③be purchased, while students use it to identify plants, insects, or historical artworks in seconds. The system works by breaking an image down into countless small features, then ④matches that pattern against millions of stored examples. It is not flawless, however; a blurry photo, an unusual camera angle, or an object partly hidden behind another can easily ⑤confuse the algorithm.

Years ago, a small shoe company ①struggled to compete with larger, well-funded rivals in the market. One day, the founder decided to share the story behind the company: how her grandfather had once repaired shoes for factory workers ②who could not afford new pairs. Surprisingly, customers started responding not just to the shoes themselves but to the values the story represented. Sales slowly increased as people felt they ③was supporting something meaningful rather than simply buying a product. Other companies noticed this shift and began crafting their own narratives, ④hoping to create similar emotional connections. Eventually, the founder realized that a compelling story, ⑤told honestly, could turn ordinary customers into loyal supporters.

Last Saturday, the temperature outside reached almost thirty-eight degrees, so my family decided to stay indoors for the entire day. At first, I worried that staying inside would be ①boring, but we found several fun activities to enjoy together. In the morning, we visited a nearby indoor climbing gym, where I learned some basic climbing techniques from an ②instructor. After lunch, we went to a small museum that had a special exhibition, and my younger brother was especially ③excited to see the huge whale model hanging from the ceiling. In the afternoon, we played board games at a cafe. By the time we got home, I realized that indoor activities could be just as ④boring as outdoor ones, especially during a ⑤heatwave.

A smartwatch strapped to a runner's wrist can now do far more than simply count steps; it monitors heart rate variability, running form, and recovery time, then uses that data to suggest a training plan tailored to the individual. When the device detects signs of overtraining, it may recommend a lighter workout or an extra rest day before fatigue turns into an actual injury. Amateur athletes often credit this kind of guidance with helping them train more consistently without pushing their bodies too hard. Sports scientists note an important caveat, however: _______________.

Strong summer sunlight can seriously damage your skin if you are not careful, because ___________. To protect your skin, apply sunscreen with a high SPF before going outside, and reapply it every two hours. Wearing a hat and sunglasses also helps shield your face and eyes from direct sunlight.

Whether such small warnings can meaningfully counter the daily flood of filtered images, however, remains an open question that researchers are only beginning to study. Opening most camera apps today reveals a row of filters that can smooth skin, brighten eyes, and reshape a jawline before a photo is even taken, all powered by AI models trained to recognize facial features in real time. ( ① ) What began as a playful novelty has become a default setting for many users, subtly adjusting nearly every selfie posted online. ( ② ) Psychologists have grown concerned about a specific consequence of this shift: people increasingly compare their unfiltered reflection in a mirror to a filtered version of themselves seen constantly on a screen. ( ③ ) This is a comparison that earlier generations never had to face. ( ④ ) Some social media platforms have responded by labeling heavily edited photos or banning certain filters that alter body shape. ( ⑤ )

In response, some platforms have begun inserting occasional wildcard suggestions that are deliberately unrelated to past viewing habits. After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. ( ① ) Instead, a recommendation algorithm compares that viewer's habits with patterns drawn from millions of other users who watched similar content, then ranks thousands of titles in order of predicted interest. ( ② ) 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. ( ③ ) The system is not without drawbacks, however. Because the algorithm favors titles similar to what a viewer already enjoys, it can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures, creating a comfortable but repetitive bubble. ( ④ ) These wildcard picks are meant to counteract this narrowing effect and keep recommendations from becoming too predictable. ( ⑤ )

주어진 문장: As a result, the frequency of an event in someone's memory can feel like solid proof of its real-world frequency, even when the two have little real connection. Imagine two travelers preparing for the same trip: one refuses to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. ( ① ) Statistically, air travel remains far safer than driving the same distance by car, yet vivid, emotionally charged images tend to dominate human judgment more powerfully than dry statistics ever could. ( ② ) 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. ( ③ ) News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are common, even though official records clearly show the opposite. ( ④ ) Advertisers and politicians alike exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to. ( ⑤ ) Recognizing why memorable examples overshadow objective probability therefore matters, both for making sound personal choices and for noticing when public fear has drifted far from measurable reality.

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 )

Consequently, even seasoned professionals who believe themselves immune to such influence often fail to notice how much their final judgment has shifted. The anchoring effect can be surprisingly resistant to conscious correction. ( ① ) Even when individuals are explicitly warned in advance that a number they are about to see is randomly generated and therefore meaningless, their subsequent estimates still drift toward that arbitrary figure. ( ② ) This occurs because the mind uses the initial number as a starting point and then adjusts insufficiently away from it, a process that leaves the final judgment biased toward the anchor. ( ③ ) Experimental studies have repeatedly demonstrated this effect across a wide range of tasks, from estimating historical dates to appraising real estate. ( ④ ) The bias persists not because people lack expertise, but because the adjustment process itself is inherently incomplete. ( ⑤ ) Awareness of the anchoring effect, therefore, does not guarantee immunity from it, which is precisely what makes the bias so difficult to counteract in practice.