영어 모의고사 (자동 편성)

Before making a purchase, most online shoppers now read reviews ①written by previous customers rather than relying solely on advertisements. These reviews, posted by people who have no financial connection to the seller, often ②seem more trustworthy than promotional claims. Research shows that products with a large number of positive reviews ③sell significantly more than those with few or no reviews at all. However, fake reviews written by paid writers or even automated programs ④has become a serious problem, undermining consumer trust. To address this issue, several review platforms have begun ⑤using artificial intelligence to identify suspicious patterns.

Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. Behind this ① simple exchange lies a complex process: the device converts sound waves into text, interprets the meaning using language models, and then generates a spoken reply, all within a second or two. Because these assistants ② improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. Still, the technology remains far from ③ perfect. Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with ④ flawless results. Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest ⑤ goals in the entire field of artificial intelligence.

Every day, email providers quietly block billions of ① unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. The filter ② examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. What makes the system effective is that it ③ stops learning after launch, since whenever a user marks a message as spam or rescues a message mistakenly filtered out, 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 ④ adjust their wording to slip through again. As a result, spam filtering is less like a fixed wall and more like an ⑤ ongoing contest, with each side continuously adapting to outsmart the other.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work increases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, widening the pool of candidates. Critics, however, worry that remote work weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be ___________, combining flexibility with occasional in-person collaboration.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results. 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 smooth. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, so that _______________. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

Not all relationships that people form are equally close or meaningful. (A) Robin Dunbar, an anthropologist, argued that the human brain can only support about one hundred fifty stable relationships at once. (B) Consequently, most of the hundreds of online followers a person accumulates never become genuinely close acquaintances. (C) This cognitive limit applies regardless of how many friends or followers a person collects on social media.

주어진 문장: This unexpected combination of skills fascinated him more than he had expected. When Daniel was a child, he dreamed of becoming an astronaut, yet he assumed such careers belonged only to a handful of government scientists. ( ① ) By the time he entered university, however, the space industry had changed dramatically, as private companies began launching satellites and building reusable rockets. ( ② ) Daniel studied aerospace engineering, drawn to the idea that space exploration was no longer limited to a few national agencies. ( ③ ) During an internship, he helped design a small satellite intended to monitor crop health from orbit, a project that combined engineering with agricultural science. ( ④ ) He realized that the space industry now needed not only pilots and engineers but also data analysts, technicians, and even lawyers familiar with international space regulations. ( ⑤ ) After graduation, Daniel joined a startup developing lunar landing equipment, a job that barely existed when he first imagined his future career.

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 )

주어진 문장: She had rehearsed exactly what she would say the moment their eyes finally met. Minji spent nearly every evening watching Jimin, an online creator who streamed cooking videos and chatted casually with her viewers. ( ① ) Over several months, Minji began to feel as though she truly knew Jimin, laughing at her jokes and worrying whenever she mentioned having a difficult week. ( ② ) Whenever Jimin responded to a comment, even a simple one, Minji felt a small thrill of connection, as if they were becoming closer friends. ( ③ ) One day, Minji excitedly waited outside a fan event, hoping that Jimin would recognize her from the countless messages she had sent. ( ④ ) However, Jimin greeted her the same way she greeted every other stranger in line, without any hint of personal recognition. ( ⑤ ) Standing there, Minji slowly realized that the bond she had imagined was entirely one-sided, existing only in her own mind. This type of connection, known as a parasocial relationship, can feel remarkably real despite never being mutual.

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 )