영어 모의고사 (자동 편성)

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 ①accurate enough that many viewers now leave them on by default, even when watching content in their native language. The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases ②to predict what was actually said. For viewers who are deaf or hard of hearing, this improvement has quietly ③transformed everyday access to video content that once required a human transcriber. The system still stumbles over overlapping speakers, strong accents, and specialized vocabulary, ④occasionally producing captions that are unintentionally funny. Even with these flaws, most users agree that imperfect captions ⑤is far more useful than no captions at all.

Yesterday, I ①visited my school's career counselor because I felt confused about my future. I told her that I enjoyed both science and art, but I could not decide which subject ②to pursue. She listened carefully and then asked me a simple question: what activities ③make me lose track of time? She suggested that I try ④combining my two interests by exploring careers such as scientific illustration or product design. Before I left, she reminded me that career paths rarely follow a straight line, so it was fine ⑤explore multiple directions.

The discovery of CRISPR gene-editing technology gave scientists a tool precise enough ①to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases that have resisted treatment for generations. Yet the same precision that makes CRISPR so promising also makes it dangerous in the wrong hands. Editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code ②passed down to every future generation, a decision no single person should ③allow to make alone. Scientific organizations around the world have therefore drawn a careful line, ④permitting gene editing to treat disease in existing patients while banning any edit that would be inherited by their descendants. Critics worry, however, that this line will become harder to enforce than it ⑤is to draw.

Social media platforms rarely show users a neutral stream of information. Instead, recommendation algorithms are ①optimized to maximize engagement, and content that provokes strong emotion, particularly outrage, tends to hold attention longer than balanced reporting ever could. Over time, users exposed to a steady diet of emotionally charged content may come to believe that extreme opinions are far more ②common than they actually are, simply because those opinions dominate their feed. Researchers describe this as a ③distorted mirror: the platform reflects not society as it truly is, but a version shaped by whatever keeps people scrolling. Some platforms have experimented with reducing the visibility of outrage-driven content, only to see user engagement ④drop, which reveals an uncomfortable truth about the underlying business model. This ⑤confirms that emotionally extreme content plays little role in keeping the platform profitable.

Generative AI systems learn to write, draw, and compose by studying ①enormous collections of existing human work, much of which was created without the artists' knowledge or consent. Supporters of the technology argue that this process resembles how a human student learns by studying the masters, ②absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③holds up perfectly at scale, since a single AI model can absorb millions of works in days. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as ④infringement. Until clearer rules emerge, artists, developers, and publishers remain locked in a legal ⑤gray zone that satisfies almost no one.

The ethical debate surrounding nudging often intensifies when the technique is applied to particularly vulnerable populations. (A) Elderly individuals facing complex decisions about long-term care, for example, may be especially susceptible to defaults and framing effects, raising the stakes of any given choice architecture considerably. (B) Some ethicists argue that heightened vulnerability actually strengthens the case for carefully designed nudges, since vulnerable individuals may otherwise fall prey to more overtly exploitative influences, such as aggressive sales tactics, if a beneficial default is not established first. (C) Others insist that heightened vulnerability demands greater caution rather than more intervention, since those least equipped to resist a nudge are also least equipped to recognize when it no longer serves their genuine interests.

A few years ago, spotting a manipulated video required a trained eye and specialized software. (A) Perhaps more troubling than any single fake video is the broader effect on public trust, sometimes called the liar's dividend, in which genuine footage can be dismissed as fabricated simply because deepfakes exist. (B) Today, freely available applications allow almost anyone to swap a face or fabricate a voice convincingly enough to fool casual viewers within minutes. (C) This shift has quietly undermined one of the oldest assumptions in human communication: that seeing and hearing something is a reliable way to confirm it happened.

City governments increasingly market dense networks of surveillance cameras as a straightforward safety upgrade, promising faster emergency response and lower crime rates. (A) Yet the same infrastructure that catches criminals also creates a permanent record of where ordinary, law-abiding citizens go about their daily lives. (B) In many cases, the technology delivers exactly what it promises, helping investigators identify suspects within hours rather than weeks. (C) Once a camera network exists, its purpose can quietly expand, from tracking traffic accidents to monitoring political protests, often without new public debate.

주어진 문장: Because the number of likes a post will receive is never guaranteed, every notification carries a small element of suspense. Psychologists have long studied a mechanism called the variable reward schedule, in which rewards arrive unpredictably rather than after every single action. ( ① ) Slot machines famously exploit this principle, and social media notifications operate on strikingly similar logic. ( ② ) When someone posts a photo, they cannot predict exactly when likes will appear, nor how many they will eventually receive. ( ③ ) This uncertainty triggers a small burst of dopamine each time the phone is checked, regardless of whether the result is disappointing or thrilling. ( ④ ) Consequently, users often refresh their feeds compulsively, hoping the next check will finally bring a satisfying reward. ( ⑤ ) What makes this troubling is that technology companies deliberately designed notification systems using insights borrowed from gambling research, rather than stumbling upon them by accident. Such practices raise serious ethical questions about manipulating users' brains for profit. Therefore, people must consciously recognize this hidden mechanism and set firm limits on their checking habits.

In other words, no single app may intend to expose such sensitive information, but the combination of many small pieces can. Every time a smartphone connects to a cell tower or a Wi-Fi network, it quietly records a data point that can later be pieced together into a detailed map of where its owner has been. ( ① ) Most users agree to this tracking without reading the fine print, assuming that a single company's database poses little threat. ( ② ) The real danger, however, emerges when location data from multiple sources is combined. ( ③ ) A pattern that reveals a person's home, workplace, and daily route can expose far more than any single app ever intended to share, including medical visits or private relationships. ( ④ ) Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown otherwise. ( ⑤ )