영어 모의고사 (자동 편성)

Carbon neutrality refers to a state in which the amount of greenhouse gases a country or company releases into the atmosphere ①<u>is balanced</u> by the amount it removes, resulting in zero net emissions. Achieving this goal typically requires several sequential stages rather than a single sudden action. First, organizations attempt to reduce emissions directly ②<u>by replacing</u> fossil fuels with renewable energy sources such as solar or wind power. Next, they improve efficiency throughout their operations, ③<u>minimizing</u> the energy wasted during production and transportation. Only after these direct measures have been maximized do most organizations turn to offsetting, ④<u>which involve</u> funding projects like reforestation or carbon capture to compensate for emissions that cannot yet be eliminated. Critics argue, however, that some companies exploit offsetting too early, ⑤<u>using it to avoid making</u> genuine reductions. Therefore, experts insist that a credible roadmap must always prioritize actual emission cuts before relying on compensation.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track, ① ready to be dropped under a video or used as background music for a small business. The software has studied thousands of existing songs, ② learning which chord progressions and rhythms tend to sound pleasant together, and it recombines these patterns into something new rather than ③ copying any single source directly. For independent creators who cannot afford a composer or expensive licensing fees, this has been a genuine breakthrough. Professional musicians, however, remain divided. Some welcome the tool as a quick way to sketch ideas before ④ refine them by hand, while others worry that a flood of AI-generated background music could quietly push human composers out of smaller, lower-budget projects, the very jobs many musicians once ⑤ relied on to build a career.

Many students assume that perfectionists work harder than everyone else, but psychologists describe a puzzling pattern ①called the perfectionism-procrastination cycle. This term describes how an intense fear of imperfect work ②cause people to delay starting a task rather than begin it. Because perfectionists set impossibly high standards, they often feel anxious before they even begin, and the task feels ③overwhelming. They then postpone the work to avoid ④facing their own unrealistic expectations, even though delay only increases their stress later. For example, a student writing a research paper might spend hours reorganizing notes instead of composing a single sentence that ⑤feels good enough.

As technology continues to reshape nearly every profession, the idea of finishing education after graduation ①has become outdated. Workers who once expected their initial training to last an entire career now find that skills can become obsolete within just a few years. Many professionals now take short online courses, attend workshops, or ②earn new certifications while continuing to work full-time. Companies that support this kind of continuous education often benefit as well, since employees ③bring fresh knowledge back into their daily tasks. Critics argue that constant learning can be exhausting and ④difficultly to balance with personal responsibilities. Nevertheless, most career experts insist that those who resist ongoing education risk ⑤falling behind their peers.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions with ①impressive accuracy. However, most researchers argue that AI still ②struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, for instance, but it can ③easily comfort a frightened patient the way a compassionate nurse can. Similarly, AI can generate countless design variations, yet it ④lacks the lived experience that allows humans to judge which idea truly resonates with people. For this reason, educators increasingly emphasize skills such as collaboration and emotional intelligence, arguing that these human capabilities will become more ⑤valuable as automation spreads.

Highlighting an awkward sentence and instantly seeing three smoother alternatives has become a routine part of writing for many students, thanks to AI writing assistants built into word processors and browsers. These tools check grammar and spelling, of course, but the more advanced versions go further, suggesting clearer phrasing, ① flagging repetitive words, and even adjusting tone to sound more formal or more casual depending on the purpose. Teachers generally ② welcome the grammar and spelling support, since it frees up class time to focus on argument and structure rather than comma placement. Concerns ③ shrink, however, around the tone and phrasing suggestions, which can gradually nudge every student's writing toward a similar, polished style, making it harder to tell an individual voice from a suggestion generated by the same underlying model. Some schools have begun asking students to submit an early draft alongside the final version, specifically to ④ preserve evidence of a student's own ⑤ original voice.

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.

Its influence, in fact, can persist quietly long after any feeling of alertness has faded. Caffeine is the most widely consumed stimulant in the world, prized for its ability to sharpen focus and fight off fatigue within minutes of consumption. ( ① ) It works by blocking adenosine, a chemical that gradually builds up in the brain throughout the day and makes us feel increasingly sleepy the longer we stay awake. ( ② ) By occupying the receptors that adenosine would normally bind to, caffeine tricks the brain into feeling alert even when the body has accumulated significant sleep pressure. ( ③ ) The effects, however, last far longer than most people realize. Because caffeine can remain active in the bloodstream for five to six hours, a cup of coffee consumed in the late afternoon may still be interfering with the ability to fall asleep at midnight. ( ④ ) Even when people do not consciously notice difficulty falling asleep, caffeine has been shown to reduce the amount of deep, restorative sleep obtained later in the night. ( ⑤ ) For this reason, many sleep specialists advise avoiding caffeine after early afternoon.

주어진 문장: In other words, those who did the least to cause the problem often end up paying the highest price for it. When people discuss climate change, they often focus only on rising temperatures or melting ice, treating it as a purely scientific issue. ( ① ) However, the concept of climate justice reminds us that the causes and consequences of climate change are distributed unevenly across the globe. ( ② ) Wealthy, industrialized nations have historically released the largest share of greenhouse gases while building their economies, yet developing nations, which contributed comparatively little, frequently suffer the most severe droughts and floods. ( ③ ) This gap between responsibility and suffering raises a serious ethical question that science alone cannot answer. ( ④ ) For example, a farming community in a low-income country may lose its entire harvest to an unusual flood, even though its members have never owned a car or flown on a plane. ( ⑤ ) Therefore, tackling climate change requires more than new technology; it demands fair policies supporting the very communities least responsible for causing the crisis.

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 )