영어 모의고사 (자동 편성)

Browsing an online store today often means ①chatting with an AI assistant that asks a few quick questions, such as budget or intended use, before suggesting a short list of products tailored to the answers. Unlike a static list of best-sellers, this assistant can adjust its suggestions on the spot, ②responding to follow-up questions the way a knowledgeable salesperson might in a physical store. Retailers report that shoppers ③who use these chatbots tend to complete purchases more often and return fewer items, since the guided conversation helps buyers choose products that actually fit their needs. Some shoppers, however, remain wary of how personal the questions can feel, ④wonder how much of that conversation is quietly stored and reused to influence future purchases. Consumer advocates argue that stores should clearly explain what happens to this data, rather than ⑤burying the explanation in a lengthy privacy policy.

Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox, a task that ①would be impossible without an AI filtering system running constantly in the background. The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on ②to slip past detection. What makes the system effective is that it keeps ③learning after launch: whenever a user marks a message as spam or rescues a message mistakenly filtered out, that action ④become 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, ⑤resulting in an ongoing contest between each side.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. Instead, a recommendation algorithm ①compares 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. This approach keeps viewers ②disengaged far longer than a simple list of new releases ever could, which is precisely why streaming companies invest so heavily in refining it. The system is not without drawbacks, however. Because the algorithm favors titles similar to what a viewer already enjoys, it can quietly ③narrow someone's exposure to unfamiliar genres, directors, or cultures, creating a comfortable but repetitive bubble. Some platforms have begun inserting occasional wildcard suggestions, deliberately unrelated to past viewing habits, in an attempt to ④counteract this narrowing effect and keep recommendations from becoming too ⑤predictable.

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. By comparing this stream of data against patterns drawn from millions of other users, the app's algorithm can ①flag early warning signs, such as an irregular heartbeat, long before the person experiencing it would have noticed anything unusual on their own. For people living far from specialists or unable to afford frequent checkups, this kind of constant monitoring can feel like a genuine ②safety net. Doctors caution, however, that these apps are designed to ③diagnose illness, not merely to detect patterns, and that a worried user should always confirm any alarming reading with a professional rather than trusting an app's suggestion alone. Treating a wellness app as a ④substitute for medical expertise, they warn, can be just as risky as ⑤ignoring a warning altogether.

Rather than replacing human creativity outright, many artists, writers, and filmmakers have begun treating AI tools as an unusual kind of ①collaborator, one that generates dozens of rough options in the time it would take a person to sketch just one. A novelist might ask an AI model for ten possible opening lines and then ②discard nine, keeping only the phrase that sparks an idea worth developing further. A film composer might use an AI system to generate a rough melody, then rework it entirely by hand until it fits the emotional tone of a specific scene. What makes this collaboration work, according to many creators, is that the human remains firmly in charge of judgment and taste, using the AI's output as raw material rather than a ③finished product. Critics ④agree that this framing accurately captures the risk, since even a first draft ultimately shapes everything that follows it, a claim most creators find ⑤reassuring.

A navigation app calculating a route rarely relies on distance alone; instead, it constantly weighs real-time traffic reports, past congestion patterns, and even data from other drivers' phones currently on the road. This flood of information allows the app to reroute a driver away from a sudden accident within seconds. The convenience comes at a cost that few passengers consider, however. When thousands of drivers are simultaneously redirected onto the same shortcut, _______________, arguing that an algorithm optimizing for individual convenience can end up creating a new, entirely different problem for the wider community.

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: _______________.

Planning a multi-city trip once meant hours spent comparing flight schedules, reading hotel reviews, and mapping out which sights were close enough to visit in a single day. (A) Many travelers appreciate having a solid starting point rather than a blank page. (B) Still, seasoned travelers warn that these itineraries can feel oddly generic, often steering users toward the same popular landmarks that every other AI-generated plan recommends. (C) AI travel planners now compress much of that work into a short conversation, generating a full day-by-day itinerary within minutes based on enormous amounts of data.

Many people struggling to fall asleep in noisy environments turn to white noise machines, devices that emit a steady, uniform sound covering a broad range of frequencies. (A) Without this masking effect, an abrupt change in sound is far more likely to trigger a brief awakening, even if the sleeper does not consciously remember it the next morning. (B) The appeal lies in a phenomenon called auditory masking, in which a constant background sound makes sudden noises, such as a slamming door, less noticeable to the sleeping brain. (C) However, researchers caution that the benefit depends heavily on volume and consistency, since noise that is too loud or unpredictable can itself become a source of disruption rather than a remedy.

The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases to predict what was actually said. Turning on automatic captions used to mean settling for garbled text full of obvious errors, but recent speech-recognition models have made same-language captions accurate enough that many viewers now leave them on by default, even when watching content in their native language. ( ① ) For viewers who are deaf or hard of hearing, this improvement has quietly transformed everyday access to video content that once required a human transcriber and a considerable amount of time to caption properly. ( ② ) The system still stumbles over overlapping speakers, strong accents, and specialized vocabulary such as medical or technical terms. ( ③ ) It occasionally produces captions that are unintentionally funny. ( ④ ) Even with these flaws, most users agree that imperfect captions are far more useful than no captions at all. ( ⑤ )