时事热点阅读理解高频考点（选择4题） 押题练 2025年高考英语三轮复习备考
文档属性
| 名称 | 时事热点阅读理解高频考点（选择4题） 押题练 2025年高考英语三轮复习备考 |  | |
| 格式 | docx | ||
| 文件大小 | 67.7KB | ||
| 资源类型 | 试卷 | ||
| 版本资源 | 通用版 | ||
| 科目 | 英语 | ||
| 更新时间 | 2025-05-16 16:08:30 | ||
图片预览
文档简介
中小学教育资源及组卷应用平台
时事热点阅读理解高频考点（选择4题）
押题练 2025年高考英语三轮复习备考
Inside a recording room at Queen Mary University of London, a group of researchers work with novel artificial intelligence (AI) tools to develop what they call the “new virtual worlds” of music. Andrea Martonelli and Max Graf are among more than 30 doctoral students working with Dr. Mathieu Barthet, a senior lecturer in Digital Media, to explore computational creativity and generative AI. Together, they have set up a futuristic studio where music meets cutting-edge tech. “It’s like extended reality, XR, a way of extending the physical reality that we live in,” Graf said while showcasing “Netz”, his virtual instrument.
Andrea plays the “HITar”, an advanced guitar with AI sensors, which reads his movements to make drum and combined sounds. While the presence of AI in music-making can be traced back to the 1950s, recent groundbreaking advances in generative AI, with robots now making music as digital pop stars, have divided opinions in the industry.
Made popular by the ChatGPT language system, generative AI is able to create content including original sounds, lyrics or entire songs on its own. UK alternative rock singer-songwriter Yungblud believes AI could help his music go “to another direction”. Other musicians worry that the technology could go too far. “I feel if you need AI to help write a song, especially when it’s for a likeness, that’s not cool,” Amy Love from the band Nova Twins said, adding that using dead artists’ voices is “not on”.
“Unlawful development is what would put the sort of the opportunities of generative AI at risk,” said Abbas Lightwalla, director of global legal policy at an organization. But regulation of generative AI is only in its early stages. “I think AI can have its place in the music production chain, again if it’s guided in the right way and if we ensure that the musicians keep a certain amount of control, and performers as well,” said Dr. Barthet, “and there might be situations where AI-generated music works for new things that have not even emerged yet in new virtual worlds.”
1．What do Andrea and Max try to achieve
A．To improve AI’s creativity. B．To run a studio aided by AI.
C．To employ AI to make music. D．To develop XR with the aid of AI.
2．What is Yungblud’s attitude to AI’s role in music
A．Critical. B．Tolerant. C．Uncertain. D．Supportive.
3．What can be inferred about AI according to Dr. Barthet
A．AI is likely to be out of control. B．AI can have a very bright future.
C．AI can build an ideal virtual world. D．AI is in great danger of disappearance.
4．Which can best serve as the title for the text
A．AI Comes: Legal or Illegal for Music B．AI Comes: Blow or New Era for Music
C．AI Comes: Success or Failure of Technology D．AI Comes: Chance or Challenge of Business
Off the coast of Santa Barbara — Just yards from the Fish 1,a 22-foot research ship, a humpback whale about twice the size of the boat threw itself out of the water, sending shining droplets in a broken necklace of splash. In the other direction, a cargo ship, piled high with containers, crept closer.
Aboard the Fish 1, a slight figure whose face is wrinkled from years in the sun and saltwater, looked from one to the other. Ocean scientist Douglas McCauley wanted to see whether the near real-time detection system he and his colleagues had developed, Whale Safe, could prevent crashes between whales and ships in the Santa Barbara Channel. By collecting data from several sources, Whale Safe forecasts to ships the chances of meeting a whale and then grades shipping companies on whether they actually slow down during whale migrations.
“We can literally watch all of the ships in California and across the whole ocean; we are better positioned than ever before to try to track damage before it occurs,” McCauley said, “We are in trouble if we don’t do something different, and I realized that if I kept sticking my head literally underwater or stayed in the lab, these problems weren’t going to fix themselves.”
Humans have worked in the seas for centuries. But as development has intensified and the planet has warmed, the 43-year-old McCauley has dared to brave the gray area between scientific research and advocacy to try to fix these problems — or at least make them visible.
“One of Doug’s notable qualities as a scientist is that he is keen to explore outside the box,” said Benjamin Halpern, a professor of marine biology and ocean conservation who has worked with McCauley for about a decade. “He is a very creative thinker, and able to think differently about the solutions to problems and what kinds of research and science can help inform those.”
5．Why are the whale and the ship mentioned in paragraph.1
A．To tell a story. B．To describe a scene.
C．To provide an example. D．To make a comparison.
6．What do we know about Whale Safe
A．It alarms the whales about the presence of ships. B．It offers data-driven warnings to the ships.
C．It grades shipping companies all year around. D．It records crashes between whales and ships.
7．What can we infer from McCauley’ words
A．Preventive measures are critical to whale protection.
B．Conventional approaches prove effective in damage tracking.
C．Underwater investigation guarantees real-time ocean monitoring.
D．Laboratory research provides valuable solutions to ocean problems.
8．Which of the following can best describe Douglas McCauley
A．Courageous and hard-working. B．Adventurous and open-minded.
C．Competitive and forward-looking. D．Innovative and solution-oriented.
Will machines turn on humanity Will we become slaves for a superior artificial intelligence While such questions may seem to belong to the field of science fiction, the world-ending potential of AI is becoming an increasingly urgent topic — mostly due to the rapid ongoing development of popular technologies like ChatGPT.
The more extreme concerns around AI involve what’s known as the singularity. In his 2010 paper The Singularity: A Philosophical Analysis, the philosopher David Chalmers describes the singularity as follows: “What happens when machines become more intelligent than humans One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now known as the ‘singularity’.” The main worry is that, if such a singularity event were to occur, we’d no longer have authority over what happens in society.
While influential figures across AI research express real concern about the singularity, however, American philosopher Daniel Dennett doesn’t buy it. As-he puts it, “I am not worried about humanity creating a race of super-intelligent agents, but that does not mean I am not worried. I see other, less dramatic, but much more likely, scenarios in the immediate future that are cause for concern.” He argues that smart technology presents us with more practical threats that have a far higher likelihood of occurring. As Dennett clarifies: “The real danger is not that machines more intelligent than we are will usurp (篡夺) our role as captains of our destinies, but that we will overestimate the comprehension of our latest thinking tools, easily ceding (让渡) authority to them far beyond their competence.”
Take transport. It’s not just aviation and shipping industries that depend on GPS for safe and efficient navigation: how many individuals now turn to their smartphones instead of using a road map As Dennett summarizes: “Use it or lose it is the rule of thumb cited at this point... how concerned should we be that we are dumbing ourselves down by our growing reliance on intelligent machines ”
9．What makes the future of AI become a hot topic
A．Advancement of technologies. B．Popularity of science fiction.
C．Humanity of machines. D．Rise of unemployment.
10．Which of the following can best describe “singularity”
A．It is a fictional design that populates science novels.
B．It is a hypothetical point where machines beat human intelligence.
C．It is a mathematical model that predicts the development of AI.
D．It is a possible situation where intelligence explosion is under control.
11．According to Daniel Dennett, what should we really worry about
A．The probable occurrence of singularity. B．Human’s creation of super thinking tools.
C．Machine’s dominance over human beings. D．Human’s misjudgment of AI’s capabilities.
12．What would be the best title for the text
A．Super-intelligence: the future trend of AI. B．Overreliance: the real danger of AI.
C．Singularity: the uncontrollable nature of AI. D．Reliability: the wide application of AI.
In the fast-developing landscape of education, technology has been a game-changer, and DeepSeek, an advanced artificial intelligence, is making waves. DeepSeek’s applications in education are diverse and impactful, bringing about a new era of learning experiences.
One of the primary ways DeepSeek benefits education is in personalized learning. Every student has a unique learning pace and style. DeepSeek can analyze a student’s performance data, including test scores, assignment completion times, and areas of difficulty. By processing this vast amount of information, it creates customized study plans. For example, if a student struggles with algebra in math, DeepSeek can generate additional practice problems, provide step-by-step video instructions, and even suggest alternative teaching methods that best suit the student's learning style.
DeepSeek also serves as an intelligent coaching system. It is available around the clock, ready to answer students’ questions instantly. Whether it’s a complex physics concept or a grammar issue in language learning, DeepSeek can break down the problem, offer detailed explanations, and guide students through the solution process. This immediate feedback not only helps students solve their current problems but also encourages them to take initiative in learning.
Moreover, in the field of curriculum (课程) design, DeepSeek provides valuable assistance to educators. It can analyze educational trends, emerging topics, and best practices from around the world. Based on this analysis, it can offer suggestions for updating curricula, ensuring that students are learning relevant and up-to-date content. For instance, in a rapidly changing subject like computer science, DeepSeek can help educators incorporate the latest programming languages and technological advancements into the curriculum.
In addition, DeepSeek can enhance language learning. It can simulate real-life conversations, helping students practice speaking and improve their pronunciation. Through voice recognition technology, it corrects students’ pronunciation errors and provides instant feedback, much like having a personal language coach.
However, like any technology, DeepSeek also has its limitations. It lacks true human empathy (共情) and emotional connection, which are important in the learning process. But overall, its potential to transform education is undeniable.
13．How does DeepSeek help in personalized learning
A．By offering one-on-one physical instructions.
B．By creating and providing tailored study plans.
C．By randomly assigning study materials to students.
D．By asking students to follow a fixed learning pattern.
14．How does DeepSeek assist in curriculum design
A．It replaces educators in designing curricula.
B．It concentrates on traditional educational content.
C．It creates all the teaching materials for educators.
D．It gives suggestions based on its relevant analysis.
15．What does the underlined word “incorporate” in paragraph 4 mean
A．Change. B．Translate. C．Develop. D．Integrate.
16．What is the main idea of the passage
A．The transformation of education by DeepSeek.
B．The application of DeepSeek in various fields.
C．DeepSeek’s limitations in improving education.
D．The development process of DeepSeek in education.
Shane Gross is from Saskatchewan, Canada, a province far away from the sea, so his first underwater experiences were in a cold, green lake with a disposable film camera. Despite this, he’s always been fascinated by the ocean, especially sharks, and watched Jaws countless times. After backpacking through Australia in 2009 and diving along the way, he decided to pursue his passion seriously. In 2011, he moved to the Bahamas to work as a dive instructor, which allowed him to spend more time in the water and improve his photography skills.
In 2017, while diving at one of their regular spots, “Sea Garden”, Gross and his girlfriend encountered a turtle (海龟). They were deeply upset at the terrible scene—the turtle was trapped, struggling, and ultimately dying. Realizing there was nothing they could do to save it, Gross removed the abandoned fishing line wrapped around the turtle and documented the moment. His photograph later won first place in the conservation category of the 2019 International Ocean Art Underwater Photo Competition, bringing attention to the problem of sea waste that often goes unseen.
When asked about his approach to creating remarkable underwater photography, Shane Gross advises underwater photographers to go beyond just one image. He encourages them to document the entire scene they’re passionate about, even if it means taking some shots above the water. Once you have a story to tell, create a shot list and keep shooting until you have recorded it fully.
For Shane, spending time in the ocean is deeply fulfilling. “I live a marine (海洋的) lifestyle,” he says. “But most people don’t share this connection.” To bridge this gap, he created Bahamas Underwater, a book combining stories and vivid imagery to introduce people to marine ecosystems and their wonders. Shane recommends that taking the time to admire the breathtaking views of the ocean should be the initial step toward creating meaningful change — a shift from indifference to active care.
17．What can we learn about Shane Gross from paragraph 1
A．He grew up in the coastal area. B．He longed to be a dive instructor.
C．He followed his childhood passion. D．He did academic research on sharks.
18．Why did Shane take a photo of the sea turtle
A．To criticize overfishing. B．To protect natural habitats.
C．To save the injured animal. D．To highlight marine pollution.
19．What is the key to good underwater photography according to paragraph 3
A．A large image. B．A unique scene. C．A complete story. D．A strong motivation.
20．What does Shane suggest as the first step toward caring for the ocean
A．Promoting green lifestyles. B．Appreciating ocean’s beauty.
C．Sharing marine knowledge. D．Documenting nature’s wonders.
Large language models (LLMs) seem better at making people feel seen and heard than humans. This phenomenon, called “LLMpathy”, is both surprising and controversial. Some argue that computers can’t truly empathize (共情) for lack of emotion. Others are alarmed by how readily people are trading human connection for digital ones. But beyond these concerns, chatbots might offer something more practical. If they are beating us at empathy, shouldn’t we try to learn what they are doing, right
Researchers initially wondered if AI advantage lay in its unlimited attention. But that doesn’t seem to explain it. A 2024 research in Harvard Business School revealed that people’s expressing of empathy, despite increased commitments, still fell short compared to those by ChatGPT.
Chatbots’ success may come from avoiding all-too-human mistakes. Chatbots’ responses stood out mainly because they focused on acknowledging feelings, unlike humans who often shared a seemingly related experience to offer solutions, unintentionally damaging the hope of being truly heard.
Chatbots avoid these pitfalls. They focus entirely on the speaker. More than humans, chatbots paraphrase, acknowledge and justify how people might feel. When people adopt similar strategies, their connections strengthen.
It bears noting that the AI advantage in empathetic conversations has limits. Its “paraphrase, acknowledge, follow up” may feel warm the first time, but dull the second. Most research tests people’s interactions with Chatbots just once, so AI’s edge might fade in longer, repetitive chats.
Chatbots might be helpful, but they still can’t feel or truly care. The demand for AI therapists (理疗师) may be growing, but many people still prefer human support. Anyone who has repeated “agent” at a customer-service robot knows the feeling of desperately wanting a real person on the line. Some of the shortcomings of human connection are also, in fact, features. But the fact that we often must earn human empathy, and that it comes from limited beings who devote themselves to being there for us, is part of its beauty.
21．Why does AI often outperform humans at showing empathy
A．It has unlimited patience. B．It shares related experience.
C．It focuses on people’s feeings. D．It prioritizes solving problems.
22．What does the underlined word “pitfalls” in paragraph 4 probably mean
A．Responses. B．Shortcomings.
C．Experiences. D．Feelings.
23．What can we learn from the last paragraph
A．Human care is irreplaceable. B．In-person chats have limits.
C．Service lines benefit human. D．Emotion is enhanced by AI.
24．Which of the following is a suitable title for the text
A．Chatbots: The New Emotional Support B．The Double-Edged Sword of Chatbots
C．The Rising Demand for AI Therapists D．Learn to Be a Listener like Chatbots
Google used its artificial intelligence-powered weather forecasting tools to precisely predict floods up to a week in advance of them happening. In a new paper published in the scientific journal Nature, Google’s researchers describe this as an early warning system that could be used throughout the world, not only to predict or recognize natural disasters but also to buffer the worst effects of what is one of the most common types of natural disasters.
Flooding can be difficult to accurately predict, particularly riverine floods, due to a lack of resources and data related to flood history, water levels, and terrain (地形). AI use in weather forecasting is nothing new. Still, the rise of more powerful processors and larger data sets is allowing for new scales of prediction, including a new Nvidia digital Earth.
A small percentage of global rivers have streamflow gauges (测量仪) which can be used to warn people if the volume of water flowing through the river changes. When combined with other points such as the local terrain, settlements near the river, weather forecasting, and historical events on the same river, data can be used to predict flooding. Google researchers gathered as much global data as they could access and trained new AI models to analyze them. Afterwards, those models could then make predictions for those regions where data might be considerably limited or even nonexistent.
The team launched a Flood Hub platform, which provided access to forecasts in 20countries where flood forecasting had been difficult in the past. The platform collected seemingly unrelated information which was available locally, fed it into the AI system as a reminder, and ordered the AI to fill in the gaps and then classify data. So far Flood Hub has been expanded to 80 countries in Africa, Asia-Pacific, Europea, and the Americas, covering over 460 million people globally, particularly those in communities suffering from flooding. “Where possible, we also provide forecasts in Google Search and Google Maps and via Android warnings.” the Google team declared.
25．What does the underlined word mean in Paragraph 1
A．Dismiss. B．Relieve. C．Perceive. D．Track.
26．Why is it hard to predict flooding
A．Relevant records are absent. B．Gauges are far from precise.
C．AI is new to weather forecasting. D．Former studies are of little worth.
27．What can we know about flooding-forecasting AI models
A．They are accessible to global data. B．They are very quick in data analysis.
C．They can ensure the reliability of data. D．They can break geographical limitations.
28．What does Paragraph 4 focus on about Flood Hub platform
A．Its designing principles. B．Its operating difficulties.
C．Its dilemma and application. D．Its mechanism and popularity.
Diverging Philosophies in Modern Artificial Intelligence: A Comparative Study
The landscape of artificial intelligence has become increasingly stratified (分层的) as major players unveil novel paradigms to navigate the complex interplay between functionality, accessibility, and privacy. Among them, OpenAI’s ChatGPT, Google’s Gemini, DeepSeek, and Apple Intelligent epitomize diverging philosophical underpinnings in AI’s progression.
ChatGPT, introduced in 2022, epitomizes the apex of natural language generation. Underpinned by extensive transformer-based architectures, it excels in coherent discourse, dynamic context-switching, and creative generation. Its accessibility through API democratizes AI deployment; however, critics underscore its proclivity (倾向) for generating plausible yet factually erroneous content—a persistent vulnerability in stochastic models.
Google’s Gemini, launched in late 2023, diverges through an aggressive push toward multimodal synthesis. Beyond mere textual prowess, Gemini interprets and generates across visual, auditory, and textual spectra. Nevertheless, its proprietary infrastructure and enigmatic training corpus have engendered skepticism regarding its ethical transparency and bias mitigation efforts.
By contrast, DeepSeek, a nimble contender emerging from China, champions open-source democratization. Its architectural economy facilitates deployment on modest hardware, thereby lowering the barrier to entry for researchers and developers. Still, doubts persist over its resilience in adversarial settings and its capacity for genuine innovation beyond mimetic replication of existing paradigms.
Apple Intelligent, diverging further still, prioritizes localized processing to ensure maximal data sovereignty. Embedded within native hardware via specialized neural engines, it aspires to fuse ambient computing with rigorous privacy standards. This strategic insularity, while bolstering user trust, simultaneously circumscribes its adaptability, especially when juxtaposed against cloud-augmented competitors.
Collectively, these platforms underscore AI’s increasingly pluralistic evolution, wherein trade-offs between openness, computational sophistication, and ethical stewardship are not merely technical choices but ideological battlegrounds. As AI systems embed themselves deeper into quotidian existence, discerning users must grapple with questions not only of performance, but of trust, transparency, and long-term societal ramifications
29．Based on the passage, which platform most intentionally sacrifices adaptability for the sake of privacy
A．ChatGPT B．Gemini
C．DeepSeek D．Apple Intelligent
30．What can be inferred about the author’s perspective on DeepSeek’s contributions to AI innovation
A．The author views DeepSeek as a major innovator
B．The author questions whether DeepSeek truly innovates
C．The author believes DeepSeek surpasses Gemini in capabilities
D．The author views DeepSeek as irrelevant to the AI landscape
31．What is one of the main criticisms faced by ChatGPT according to the text
A．High cost of hardware deployment
B．Overreliance on proprietary datasets
C．Tendency to produce plausible but inaccurate responses
D．Limited multimodal capabilities
32．According to the passage, which platform explicitly integrates multimodal abilities
A．ChatGPT B．Gemini
C．DeepSeek D．Apple Intelligent
参考答案
题号 1 2 3 4 5 6 7 8 9 10
答案 C D B B B B A D A B
题号 11 12 13 14 15 16 17 18 19 20
答案 D B B D D A C D C B
题号 21 22 23 24 25 26 27 28 29 30
答案 C B A D B A D D D B
题号 31 32
答案 C B
1．C 2．D 3．B 4．B
1．推理判断题。根据第一段“Inside a recording room at Queen Mary University of London, a group of researchers work with novel artificial intelligence (AI) tools to develop what they call the “new virtual worlds” of music. Andrea Martonelli and Max Graf are among more than 30 doctoral students working with Dr. Mathieu Barthet, a senior lecturer in Digital Media, to explore computational creativity and generative AI.(在伦敦玛丽女王大学的一间录音室里，一组研究人员正在使用新型人工智能（AI）工具开发他们所谓的音乐“新虚拟世界”。Andrea Martonelli和Max Graf等30多名博士生与数字媒体高级讲师Mathieu Barthet博士合作，探索计算创造力和生成式人工智能)”可知，Andrea和Max想要利用人工智能制作音乐。故选C项。
2．推理判断题。根据第三段“UK alternative rock singer-songwriter Yungblud believes AI could help his music go “to another direction”. Other musicians worry that the technology could go too far. (英国另类摇滚歌手兼词曲作者Yungblud认为，人工智能可以帮助他的音乐走向“另一个方向”。其他音乐家担心这项技术可能会走得太远。)”可知，Yungblud认为，人工智能可以帮助他的音乐走向“另一个方向”，所以是支持的态度。故选D项。
3．推理判断题。根据最后一段““I think AI can have its place in the music production chain, again if it’s guided in the right way and if we ensure that the musicians keep a certain amount of control, and performers as well,” said Dr. Barthet, “and there might be situations where AI-generated music works for new things that have not even emerged yet in new virtual worlds.”(Barthet博士说：“我认为人工智能可以在音乐制作链中占有一席之地，如果它以正确的方式引导，如果我们确保音乐家和表演者保持一定的控制权，那么人工智能生成的音乐可能会适用于新的虚拟世界中尚未出现的新事物。”)”可知，根据Barthet博士的话，可推知人工智能可以有一个非常光明的未来。故选B项。
4．主旨大意题。根据倒数第二段“Made popular by the ChatGPT language system, generative AI is able to create content including original sounds, lyrics or entire songs on its own. UK alternative rock singer-songwriter Yungblud believes AI could help his music go “to another direction”. Other musicians worry that the technology could go too far. “I feel if you need AI to help write a song, especially when it’s for a likeness, that’s not cool,” Amy Love from the band Nova Twins said, adding that using dead artists’ voices is “not on”.(由于ChatGPT语言系统的普及，生成式人工智能能够自己创作包括原创声音、歌词或整首歌曲在内的内容。英国另类摇滚歌手兼词曲作者Yungblud认为，人工智能可以帮助他的音乐走向“另一个方向”。其他音乐家担心这项技术可能会走得太远。Nova Twins乐队的Amy Love说：“我觉得如果你需要人工智能来帮你写歌，尤其是为了模仿别人，那就太不酷了。”她还补充说，使用已故艺术家的声音是“不合适的”)”以及纵观全文可知，全文围绕AI对音乐的双重影响展开，既有支持（如Yungblud）也有担忧（如法律问题），所以B项“人工智能的到来：打击还是音乐的新时代？”是本文最好的标题。故选B项。
5．B 6．B 7．A 8．D
5．推理判断题。根据第一段“Off the coast of Santa Barbara — Just yards from the Fish 1, a 22-foot research ship, a humpback whale about twice the size of the boat threw itself out of the water, sending shining droplets in a broken necklace of splash. In the other direction, a cargo ship, piled high with containers, crept closer.(在圣巴巴拉海岸外，距离22英尺长的科考船“鱼1号”仅几码远的地方，一条大约有船两倍大的座头鲸跃出水面，飞溅出闪闪发光的水珠，形成一条破碎的项链。在另一个方向，一艘堆满了集装箱的货船慢慢靠近)”可推知，第一段通过描述鲸鱼跃出水面和货船靠近的场景，为读者呈现了一幅生动的画面。故选B项。
6．细节理解题。根据第二段“By collecting data from several sources, Whale Safe forecasts to ships the chances of meeting a whale and then grades shipping companies on whether they actually slow down during whale migrations.( 通过从多个来源收集数据，鲸鱼安全组织预测船只遇到鲸鱼的机会，然后根据航运公司在鲸鱼迁徙期间是否真的放慢了速度，对它们进行评级)”可知，Whale Safe通过收集多个来源的数据，向船只预测遇到鲸鱼的可能性，即它向船只提供基于数据的警告。故选B项。
7．推理判断题。根据第三段““We can literally watch all of the ships in California and across the whole ocean; we are better positioned than ever before to try to track damage before it occurs,” McCauley said, “We are in trouble if we don’t do something different, and I realized that if I kept sticking my head literally underwater or stayed in the lab, these problems weren’t going to fix themselves.”(“我们真的可以看到加州和整个海洋的所有船只；麦考利说：“如果我们不采取不同的措施，我们就会陷入麻烦。我意识到，如果我一直把头埋在水下，或者呆在实验室里，这些问题不会自己解决。”)”可知，麦考利认为他们能够在损害发生之前进行追踪，而且如果不采取不同的措施就会有麻烦。由此推知，预防措施对于鲸鱼保护至关重要。故选A项。
8．推理判断题。根据最后一段““One of Doug’s notable qualities as a scientist is that he is keen to explore outside the box,” said Benjamin Halpern, a professor of marine biology and ocean conservation who has worked with McCauley for about a decade. “He is a very creative thinker, and able to think differently about the solutions to problems and what kinds of research and science can help inform those.”(“作为一名科学家，道格最显著的品质之一是，他热衷于在常规之外进行探索，”海洋生物学和海洋保护学教授本杰明·哈尔彭说，他与麦考利一起工作了大约十年。“他是一个非常有创造力的思想家，能够从不同的角度思考问题的解决方案，以及什么样的研究和科学可以帮助解决这些问题。”)”可知，道格拉斯·麦考利是一个有创造力的思想家，能够以不同的方式思考问题的解决方案。由此推知，他具有创新精神和解决问题的能力。故选D项。
9．A 10．B 11．D 12．B
9．细节理解题。根据第一段“While such questions may seem to belong to the field of science fiction, the world-ending potential of AI is becoming an increasingly urgent topic — mostly due to the rapid ongoing development of popular technologies like ChatGPT.(虽然这些问题似乎属于科幻小说的范畴，但人工智能终结世界的潜力正成为一个越来越紧迫的话题——这主要是由于ChatGPT等流行技术的快速发展)”可知，AI成为热点是因为技术进步。故选A。
10．细节理解题。根据第二段“One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now known as the ‘singularity’.(一种观点认为，随着每一代机器反过来创造出更智能的机器，这一事件将带来智能水平更高的爆炸式增长。这种智能爆炸现在被称为‘奇点’)”可知，奇点是“机器智能超越人类的假设点”。故选B。
11．细节理解题。根据第三段“The real danger is not that machines more intelligent than we are will usurp (篡夺) our role as captains of our destinies, but that we will overestimate the comprehension of our latest thinking tools, easily ceding (让渡) authority to them far beyond their competence.(真正的危险不是比我们更聪明的机器会取代我们主宰自己命运的角色，而是我们会高估自己对最新思维工具的理解能力，轻易地把权力拱手让给它们，远远超出它们的能力)”可知，Dennett认为真正的危险是人类对AI 能力的误判。故选D。
12．主旨大意题。根据第三段“The real danger is not that machines more intelligent than we are will usurp (篡夺) our role as captains of our destinies, but that we will overestimate the comprehension of our latest thinking tools, easily ceding (让渡) authority to them far beyond their competence.(真正的危险不是比我们更聪明的机器会取代我们主宰自己命运的角色，而是我们会高估自己对最新思维工具的理解能力，轻易地把权力拱手让给它们，远远超出它们的能力)”和第四段“Use it or lose it is the rule of thumb cited at this point... how concerned should we be that we are dumbing ourselves down by our growing reliance on intelligent machines (使用它或失去它是在这一点上引用的经验法则……我们应该多担心由于对智能机器的依赖而使自己变得愚笨呢？)”可知，全文围绕人类对AI的过度依赖及其潜在危险展开，B选项“过度依赖：人工智能的真正危险”最符合文章标题。故选B。
13．B 14．D 15．D 16．A
13．细节理解题。根据第二段“DeepSeek can analyze a student’s performance data, including test scores, assignment completion times, and areas of difficulty. By processing this vast amount of information, it creates customized study plans. (DeepSeek 可以分析学生的成绩数据，包括考试成绩、作业完成时间和困难领域。通过处理这些大量的信息，它创建了定制的学习计划)”可知，DeepSeek通过创建和提供定制的学习计划来帮助个性化学习。故选B项。
14．细节理解题。根据第四段“Moreover, in the field of curriculum (课程) design, DeepSeek provides valuable assistance to educators. It can analyze educational trends, emerging topics, and best practices from around the world. Based on this analysis, it can offer suggestions for updating curricula, ensuring that students are learning relevant and up-to-date content. (此外，在课程设计领域，DeepSeek为教育工作者提供了有价值的帮助。它可以分析来自世界各地的教育趋势、新兴话题和最佳实践。基于这一分析，它可以为更新课程提供建议，确保学生学习到相关且最新的内容)”可知，DeepSeek通过根据其相关分析给出建议来辅助课程设计。故选D项。
15．词句猜测题。根据第四段“For instance, in a rapidly changing subject like computer science, DeepSeek can help educators incorporate the latest programming languages and technological advancements into the curriculum. (例如，在像计算机科学这样快速变化的学科中，DeepSeek可以帮助教育工作者将最新的编程语言和技术进步corporate到课程中)”可知，DeepSeek能帮助教育工作者把最新的内容融入到课程里，所以incorporate意思是“整合，融入”，与D选项Integrate(整合)意思相近。故选D项。
16．主旨大意题。根据第一段“DeepSeek’s applications in education are diverse and impactful, bringing about a new era of learning experiences. (DeepSeek在教育领域的应用是多样且具有影响力的，带来了学习体验的新时代)”以及下文对DeepSeek在个性化学习、智能辅导、课程设计和语言学习等方面的应用描述可知，文章主要讲述了DeepSeek对教育的变革。故选A项。
17．C 18．D 19．C 20．B
17．细节理解题。根据第一段“Despite this, he’s always been fascinated by the ocean, especially sharks, and watched Jaws countless times. After backpacking through Australia in 2009 and diving along the way, he decided to pursue his passion seriously.(尽管如此，他一直对海洋，尤其是鲨鱼着迷，看了无数次《大白鲨》。2009年，他在澳大利亚背包旅行，沿途潜水，之后他决定认真追求自己的激情。)”可知，他从小热爱海洋，长大后也在继续追寻这份热爱，故选C。
18．推理判断题。根据第二段“His photograph later won first place in the conservation category of the 2019 International Ocean Art Underwater Photo Competition, bringing attention to the problem of sea waste that often goes unseen.(他的照片后来在2019年国际海洋艺术水下摄影比赛中获得了保护类第一名，引起了人们对经常被忽视的海洋废物问题的关注。)”可知，Shane拍海龟的照片是为了突出海洋污染问题。故选D。
19．细节理解题。根据第三段“Once you have a story to tell, create a shot list and keep shooting until you have recorded it fully.(一旦你有一个故事要讲，创建一个镜头列表，并继续拍摄，直到你把它记录完整。)”可知，水下摄影成功的关键在于有一个完整的故事，故选C。
20．细节理解题。从最后一段“Shane recommends that taking the time to admire the breathtaking views of the ocean should be the initial step toward creating meaningful change — a shift from indifference to active care.(Shane建议，花时间欣赏海洋的壮丽景色应该是创造有意义的改变的第一步——从冷漠到积极关怀的转变。)”可知，Shane认为激发人们保护海洋意识的第一步是欣赏海洋之美，故选B。
21．C 22．B 23．A 24．D
21．细节理解题。根据第三段“Chatbots’ responses stood out mainly because they focused on acknowledging feelings, unlike humans who often shared a seemingly related experience to offer solutions, unintentionally damaging the hope of being truly heard.(聊天机器人的回答之所以引人注目，主要是因为它们专注于承认感受，而不像人类经常分享看似相关的经历来提供解决方案，这无意中破坏了人们真正倾听的希望)”以及第四段“They focus entirely on the speaker. More than humans, chatbots paraphrase, acknowledge and justify how people might feel.(他们的注意力完全集中在说话人身上。与人类相比，聊天机器人更多地诠释、承认和证明人们的感受)”可知，因为人工智能关注的是人们的感受，所以在表现同理心方面往往胜过人类。故选C项。
22．词句猜测题。根据前文“Chatbots’ responses stood out mainly because they focused on acknowledging feelings, unlike humans who often shared a seemingly related experience to offer solutions, unintentionally damaging the hope of being truly heard.(聊天机器人的回答之所以引人注目，主要是因为它们专注于承认感受，而不像人类经常分享看似相关的经历来提供解决方案，这无意中破坏了人们真正倾听的希望)”可知，聊天机器人它们专注于承认感受，而不像人类经常分享看似相关的经历来提供解决方案，这破坏了人们真正倾听的希望，所以是聊天机器人避免了这些缺点，推知pitfalls应是“缺点”之意，和B项意思相近。故选B项。
23．推理判断题。根据最后一段“Chatbots might be helpful, but they still can’t feel or truly care. The demand for AI therapists (理疗师) may be growing, but many people still prefer human support. Anyone who has repeated “agent” at a customer-service robot knows the feeling of desperately wanting a real person on the line. Some of the shortcomings of human connection are also, in fact, features. But the fact that we often must earn human empathy, and that it comes from limited beings who devote themselves to being there for us, is part of its beauty.(聊天机器人可能会有所帮助，但它们仍然无法感受到或真正关心。对人工智能治疗师的需求可能正在增长，但许多人仍然更喜欢人类的支持。任何对客服机器人重复说过“代理”的人都知道那种迫切需要真人接听电话的感觉。事实上，人际关系的一些缺点也是特征。但事实是，我们经常必须赢得人类的同情，而这种同情来自于那些致力于为我们服务的有限的人，这正是它的美丽之处)”可知，从本段我们能了解到人类的关怀是不可替代的。故选A项。
24．主旨大意题。根据第一段“Large language models (LLMs) seem better at making people feel seen and heard than humans. This phenomenon, called “LLMpathy”, is both surprising and controversial. Some argue that computers can’t truly empathize (共情) for lack of emotion. Others are alarmed by how readily people are trading human connection for digital ones. But beyond these concerns, chatbots might offer something more practical. If they are beating us at empathy, shouldn’t we try to learn what they are doing, right (大型语言模型（LLMs）似乎比人类更善于让人感觉被看到和被听到。这种现象被称为“LLMpathy”，既令人惊讶，也备受争议。一些人认为，由于缺乏情感，计算机无法真正地移情。另一些人则对人们如何轻易地将人际关系换成数字关系感到震惊。但除了这些担忧之外，聊天机器人可能会提供一些更实用的东西。如果他们在移情方面胜过我们，我们难道不应该试着学习他们在做什么吗？)”可知，本文主要讲述了大型语言模型（LLMs）在共情能力上似乎优于人类，应该学习他们，所以D项“学会像聊天机器人一样倾听”是本文最好的标题。故选D项。
25．B 26．A 27．D 28．D
25．词句猜测题。根据划线词上文“In a new paper published in the scientific journal Nature, Google’s researchers describe this as an early warning system that could be used throughout the world, not only to predict or recognize natural disasters but also to (在科学杂志《自然》上发表的一篇新论文中，谷歌的研究人员将其描述为一种可以在全世界范围内使用的早期预警系统，不仅可以预测或识别自然灾害，还可以)”以及后文“the worst effects of what is one of the most common types of natural disasters. (最常见的自然灾害之一的最严重影响。)”可知，谷歌的这个人工智能天气预报工具是一个早期预警系统，这个可以用于世界各地，不仅能预测或识别自然灾害，也缓解自然灾害中最常见类型之一的最严重后果。“relieve”与“buffer”意思相近，即译为“缓解”。故选B。
26．细节理解题。根据第二段“Flooding can be difficult to accurately predict, particularly riverine floods, due to a lack of resources and data related to flood history, water levels, and terrain. (由于缺乏与洪水历史、水位和地形相关的资源和数据，洪水可能难以准确预测，尤其是河流洪水。)”可知，洪水难以预测，特别是河流洪水，是因为缺乏与洪水历史、水位和地形相关的资源和数据，所以相关记录是不足的。故选A。
27．推理判断题。根据第三段“Google researchers gathered as much global data as they could access and trained new AI models to analyze them. Afterwards, those models could then make predictions for those regions where data might be considerably limited or even nonexistent. (谷歌的研究人员收集了尽可能多的全球数据，并训练了新的人工智能模型来分析这些数据。然后，这些模型可以对那些数据可能相当有限甚至不存在的地区进行预测。)”可知，AI模型可以打破地理的界限。故选D。
28．主旨大意题。根据第四段“The team launched a Flood Hub platform, which provided access to forecasts in 20countries where flood forecasting had been difficult in the past. The platform collected seemingly unrelated information which was available locally, fed it into the AI system as a reminder, and ordered the AI to fill in the gaps and then classify data. So far Flood Hub has been expanded to 80 countries in Africa, Asia-Pacific, Europea, and the Americas, covering over 460 million people globally, particularly those in communities suffering from flooding. “Where possible, we also provide forecasts in Google Search and Google Maps and via Android warnings.” the Google team declared. (该团队启动了一个洪水中心平台，该平台提供了过去难以预测洪水的20个国家的预报。该平台收集本地可用的看似不相关的信息，将其作为提醒输入人工智能系统，并命令人工智能填补空白，然后对数据进行分类。到目前为止，洪水中心已经扩展到非洲、亚太、欧洲和美洲的80个国家，覆盖了全球4.6亿多人，特别是那些遭受洪水袭击的社区。“在可能的情况下，我们还通过谷歌搜索和谷歌地图以及Android警告提供天气预报。”谷歌团队宣布。)”可知，该段关于Flood Hub platform的关注点在于它的机制原理和受欢迎程度。故选D。
29．D 30．B 31．C 32．B
29．推理判断题。根据文章第五段“Apple Intelligent, diverging further still, prioritizes localized processing to ensure maximal data sovereignty. Embedded within native hardware via specialized neural engines, it aspires to fuse ambient computing with rigorous privacy standards. This strategic insularity, while bolstering user trust, simultaneously circumscribes its adaptability, especially when juxtaposed against cloud-augmented competitors.(苹果智能则更进一步地另辟蹊径，它优先考虑本地化处理，以确保最大程度的数据主权。通过专门的神经引擎嵌入到原生硬件中，它力求将环境计算与严格的隐私标准相融合。这种战略上的独立性，虽然增强了用户信任，但同时也限制了它的适应性，尤其是与那些有云增强功能的竞争对手相比时)”可知，苹果智能优先考虑本地化处理以确保最大程度的数据主权，通过专门的神经引擎嵌入原生硬件中，力求将环境计算与严格的隐私标准相结合。这种战略上的独立性在增强用户信任的同时，也限制了它的适应性，特别是与那些有云增强功能的竞争对手相比时。因此，最有意为了隐私而牺牲适应性的平台是 Apple Intelligent。故选D。
30．推理判断题。根据文章第四段“Still, doubts persist over its resilience in adversarial settings and its capacity for genuine innovation beyond mimetic replication of existing paradigms.(尽管如此，人们仍然怀疑它在对抗性环境中的稳健性，以及它在模仿现有范式之外真正进行创新的能力)”可知，作者质疑DeepSeek是否真的进行了创新。故选B。
31．细节理解题。根据文章第二段“however, critics underscore its proclivity (倾向) for generating plausible yet factually erroneous content—a persistent vulnerability in stochastic models.(然而，批评者强调它倾向于生成看似合理但在事实上却错误的内容，这是随机模型中一直存在的一个漏洞)”可知，批评者强调ChatGPT倾向于生成看似合理但实际上错误的内容，这是随机模型中一直存在的弱点。所以ChatGPT面临的主要批评之一是它有产生看似合理但不准确回应的倾向。故选C。
32．细节理解题。根据文章第三段“Google’s Gemini, launched in late 2023, diverges through an aggressive push toward multimodal synthesis. Beyond mere textual prowess, Gemini interprets and generates across visual, auditory, and textual spectra.(谷歌的Gemini于2023年末推出，它通过大力推动多模态合成而与众不同。Gemini不仅仅具备强大的文本处理能力，还能在视觉、听觉和文本等多个领域进行解读和生成)”可知，谷歌的Gemini通过大力推动多模态合成而与众不同，它不仅仅具备文本处理能力，还能在视觉、听觉和文本等多个领域进行解读和生成。故选B。
21世纪教育网 www.21cnjy.com 精品试卷·第 2 页 （共 2 页）
21世纪教育网(www.21cnjy.com)
时事热点阅读理解高频考点（选择4题）
押题练 2025年高考英语三轮复习备考
Inside a recording room at Queen Mary University of London, a group of researchers work with novel artificial intelligence (AI) tools to develop what they call the “new virtual worlds” of music. Andrea Martonelli and Max Graf are among more than 30 doctoral students working with Dr. Mathieu Barthet, a senior lecturer in Digital Media, to explore computational creativity and generative AI. Together, they have set up a futuristic studio where music meets cutting-edge tech. “It’s like extended reality, XR, a way of extending the physical reality that we live in,” Graf said while showcasing “Netz”, his virtual instrument.
Andrea plays the “HITar”, an advanced guitar with AI sensors, which reads his movements to make drum and combined sounds. While the presence of AI in music-making can be traced back to the 1950s, recent groundbreaking advances in generative AI, with robots now making music as digital pop stars, have divided opinions in the industry.
Made popular by the ChatGPT language system, generative AI is able to create content including original sounds, lyrics or entire songs on its own. UK alternative rock singer-songwriter Yungblud believes AI could help his music go “to another direction”. Other musicians worry that the technology could go too far. “I feel if you need AI to help write a song, especially when it’s for a likeness, that’s not cool,” Amy Love from the band Nova Twins said, adding that using dead artists’ voices is “not on”.
“Unlawful development is what would put the sort of the opportunities of generative AI at risk,” said Abbas Lightwalla, director of global legal policy at an organization. But regulation of generative AI is only in its early stages. “I think AI can have its place in the music production chain, again if it’s guided in the right way and if we ensure that the musicians keep a certain amount of control, and performers as well,” said Dr. Barthet, “and there might be situations where AI-generated music works for new things that have not even emerged yet in new virtual worlds.”
1．What do Andrea and Max try to achieve
A．To improve AI’s creativity. B．To run a studio aided by AI.
C．To employ AI to make music. D．To develop XR with the aid of AI.
2．What is Yungblud’s attitude to AI’s role in music
A．Critical. B．Tolerant. C．Uncertain. D．Supportive.
3．What can be inferred about AI according to Dr. Barthet
A．AI is likely to be out of control. B．AI can have a very bright future.
C．AI can build an ideal virtual world. D．AI is in great danger of disappearance.
4．Which can best serve as the title for the text
A．AI Comes: Legal or Illegal for Music B．AI Comes: Blow or New Era for Music
C．AI Comes: Success or Failure of Technology D．AI Comes: Chance or Challenge of Business
Off the coast of Santa Barbara — Just yards from the Fish 1,a 22-foot research ship, a humpback whale about twice the size of the boat threw itself out of the water, sending shining droplets in a broken necklace of splash. In the other direction, a cargo ship, piled high with containers, crept closer.
Aboard the Fish 1, a slight figure whose face is wrinkled from years in the sun and saltwater, looked from one to the other. Ocean scientist Douglas McCauley wanted to see whether the near real-time detection system he and his colleagues had developed, Whale Safe, could prevent crashes between whales and ships in the Santa Barbara Channel. By collecting data from several sources, Whale Safe forecasts to ships the chances of meeting a whale and then grades shipping companies on whether they actually slow down during whale migrations.
“We can literally watch all of the ships in California and across the whole ocean; we are better positioned than ever before to try to track damage before it occurs,” McCauley said, “We are in trouble if we don’t do something different, and I realized that if I kept sticking my head literally underwater or stayed in the lab, these problems weren’t going to fix themselves.”
Humans have worked in the seas for centuries. But as development has intensified and the planet has warmed, the 43-year-old McCauley has dared to brave the gray area between scientific research and advocacy to try to fix these problems — or at least make them visible.
“One of Doug’s notable qualities as a scientist is that he is keen to explore outside the box,” said Benjamin Halpern, a professor of marine biology and ocean conservation who has worked with McCauley for about a decade. “He is a very creative thinker, and able to think differently about the solutions to problems and what kinds of research and science can help inform those.”
5．Why are the whale and the ship mentioned in paragraph.1
A．To tell a story. B．To describe a scene.
C．To provide an example. D．To make a comparison.
6．What do we know about Whale Safe
A．It alarms the whales about the presence of ships. B．It offers data-driven warnings to the ships.
C．It grades shipping companies all year around. D．It records crashes between whales and ships.
7．What can we infer from McCauley’ words
A．Preventive measures are critical to whale protection.
B．Conventional approaches prove effective in damage tracking.
C．Underwater investigation guarantees real-time ocean monitoring.
D．Laboratory research provides valuable solutions to ocean problems.
8．Which of the following can best describe Douglas McCauley
A．Courageous and hard-working. B．Adventurous and open-minded.
C．Competitive and forward-looking. D．Innovative and solution-oriented.
Will machines turn on humanity Will we become slaves for a superior artificial intelligence While such questions may seem to belong to the field of science fiction, the world-ending potential of AI is becoming an increasingly urgent topic — mostly due to the rapid ongoing development of popular technologies like ChatGPT.
The more extreme concerns around AI involve what’s known as the singularity. In his 2010 paper The Singularity: A Philosophical Analysis, the philosopher David Chalmers describes the singularity as follows: “What happens when machines become more intelligent than humans One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now known as the ‘singularity’.” The main worry is that, if such a singularity event were to occur, we’d no longer have authority over what happens in society.
While influential figures across AI research express real concern about the singularity, however, American philosopher Daniel Dennett doesn’t buy it. As-he puts it, “I am not worried about humanity creating a race of super-intelligent agents, but that does not mean I am not worried. I see other, less dramatic, but much more likely, scenarios in the immediate future that are cause for concern.” He argues that smart technology presents us with more practical threats that have a far higher likelihood of occurring. As Dennett clarifies: “The real danger is not that machines more intelligent than we are will usurp (篡夺) our role as captains of our destinies, but that we will overestimate the comprehension of our latest thinking tools, easily ceding (让渡) authority to them far beyond their competence.”
Take transport. It’s not just aviation and shipping industries that depend on GPS for safe and efficient navigation: how many individuals now turn to their smartphones instead of using a road map As Dennett summarizes: “Use it or lose it is the rule of thumb cited at this point... how concerned should we be that we are dumbing ourselves down by our growing reliance on intelligent machines ”
9．What makes the future of AI become a hot topic
A．Advancement of technologies. B．Popularity of science fiction.
C．Humanity of machines. D．Rise of unemployment.
10．Which of the following can best describe “singularity”
A．It is a fictional design that populates science novels.
B．It is a hypothetical point where machines beat human intelligence.
C．It is a mathematical model that predicts the development of AI.
D．It is a possible situation where intelligence explosion is under control.
11．According to Daniel Dennett, what should we really worry about
A．The probable occurrence of singularity. B．Human’s creation of super thinking tools.
C．Machine’s dominance over human beings. D．Human’s misjudgment of AI’s capabilities.
12．What would be the best title for the text
A．Super-intelligence: the future trend of AI. B．Overreliance: the real danger of AI.
C．Singularity: the uncontrollable nature of AI. D．Reliability: the wide application of AI.
In the fast-developing landscape of education, technology has been a game-changer, and DeepSeek, an advanced artificial intelligence, is making waves. DeepSeek’s applications in education are diverse and impactful, bringing about a new era of learning experiences.
One of the primary ways DeepSeek benefits education is in personalized learning. Every student has a unique learning pace and style. DeepSeek can analyze a student’s performance data, including test scores, assignment completion times, and areas of difficulty. By processing this vast amount of information, it creates customized study plans. For example, if a student struggles with algebra in math, DeepSeek can generate additional practice problems, provide step-by-step video instructions, and even suggest alternative teaching methods that best suit the student's learning style.
DeepSeek also serves as an intelligent coaching system. It is available around the clock, ready to answer students’ questions instantly. Whether it’s a complex physics concept or a grammar issue in language learning, DeepSeek can break down the problem, offer detailed explanations, and guide students through the solution process. This immediate feedback not only helps students solve their current problems but also encourages them to take initiative in learning.
Moreover, in the field of curriculum (课程) design, DeepSeek provides valuable assistance to educators. It can analyze educational trends, emerging topics, and best practices from around the world. Based on this analysis, it can offer suggestions for updating curricula, ensuring that students are learning relevant and up-to-date content. For instance, in a rapidly changing subject like computer science, DeepSeek can help educators incorporate the latest programming languages and technological advancements into the curriculum.
In addition, DeepSeek can enhance language learning. It can simulate real-life conversations, helping students practice speaking and improve their pronunciation. Through voice recognition technology, it corrects students’ pronunciation errors and provides instant feedback, much like having a personal language coach.
However, like any technology, DeepSeek also has its limitations. It lacks true human empathy (共情) and emotional connection, which are important in the learning process. But overall, its potential to transform education is undeniable.
13．How does DeepSeek help in personalized learning
A．By offering one-on-one physical instructions.
B．By creating and providing tailored study plans.
C．By randomly assigning study materials to students.
D．By asking students to follow a fixed learning pattern.
14．How does DeepSeek assist in curriculum design
A．It replaces educators in designing curricula.
B．It concentrates on traditional educational content.
C．It creates all the teaching materials for educators.
D．It gives suggestions based on its relevant analysis.
15．What does the underlined word “incorporate” in paragraph 4 mean
A．Change. B．Translate. C．Develop. D．Integrate.
16．What is the main idea of the passage
A．The transformation of education by DeepSeek.
B．The application of DeepSeek in various fields.
C．DeepSeek’s limitations in improving education.
D．The development process of DeepSeek in education.
Shane Gross is from Saskatchewan, Canada, a province far away from the sea, so his first underwater experiences were in a cold, green lake with a disposable film camera. Despite this, he’s always been fascinated by the ocean, especially sharks, and watched Jaws countless times. After backpacking through Australia in 2009 and diving along the way, he decided to pursue his passion seriously. In 2011, he moved to the Bahamas to work as a dive instructor, which allowed him to spend more time in the water and improve his photography skills.
In 2017, while diving at one of their regular spots, “Sea Garden”, Gross and his girlfriend encountered a turtle (海龟). They were deeply upset at the terrible scene—the turtle was trapped, struggling, and ultimately dying. Realizing there was nothing they could do to save it, Gross removed the abandoned fishing line wrapped around the turtle and documented the moment. His photograph later won first place in the conservation category of the 2019 International Ocean Art Underwater Photo Competition, bringing attention to the problem of sea waste that often goes unseen.
When asked about his approach to creating remarkable underwater photography, Shane Gross advises underwater photographers to go beyond just one image. He encourages them to document the entire scene they’re passionate about, even if it means taking some shots above the water. Once you have a story to tell, create a shot list and keep shooting until you have recorded it fully.
For Shane, spending time in the ocean is deeply fulfilling. “I live a marine (海洋的) lifestyle,” he says. “But most people don’t share this connection.” To bridge this gap, he created Bahamas Underwater, a book combining stories and vivid imagery to introduce people to marine ecosystems and their wonders. Shane recommends that taking the time to admire the breathtaking views of the ocean should be the initial step toward creating meaningful change — a shift from indifference to active care.
17．What can we learn about Shane Gross from paragraph 1
A．He grew up in the coastal area. B．He longed to be a dive instructor.
C．He followed his childhood passion. D．He did academic research on sharks.
18．Why did Shane take a photo of the sea turtle
A．To criticize overfishing. B．To protect natural habitats.
C．To save the injured animal. D．To highlight marine pollution.
19．What is the key to good underwater photography according to paragraph 3
A．A large image. B．A unique scene. C．A complete story. D．A strong motivation.
20．What does Shane suggest as the first step toward caring for the ocean
A．Promoting green lifestyles. B．Appreciating ocean’s beauty.
C．Sharing marine knowledge. D．Documenting nature’s wonders.
Large language models (LLMs) seem better at making people feel seen and heard than humans. This phenomenon, called “LLMpathy”, is both surprising and controversial. Some argue that computers can’t truly empathize (共情) for lack of emotion. Others are alarmed by how readily people are trading human connection for digital ones. But beyond these concerns, chatbots might offer something more practical. If they are beating us at empathy, shouldn’t we try to learn what they are doing, right
Researchers initially wondered if AI advantage lay in its unlimited attention. But that doesn’t seem to explain it. A 2024 research in Harvard Business School revealed that people’s expressing of empathy, despite increased commitments, still fell short compared to those by ChatGPT.
Chatbots’ success may come from avoiding all-too-human mistakes. Chatbots’ responses stood out mainly because they focused on acknowledging feelings, unlike humans who often shared a seemingly related experience to offer solutions, unintentionally damaging the hope of being truly heard.
Chatbots avoid these pitfalls. They focus entirely on the speaker. More than humans, chatbots paraphrase, acknowledge and justify how people might feel. When people adopt similar strategies, their connections strengthen.
It bears noting that the AI advantage in empathetic conversations has limits. Its “paraphrase, acknowledge, follow up” may feel warm the first time, but dull the second. Most research tests people’s interactions with Chatbots just once, so AI’s edge might fade in longer, repetitive chats.
Chatbots might be helpful, but they still can’t feel or truly care. The demand for AI therapists (理疗师) may be growing, but many people still prefer human support. Anyone who has repeated “agent” at a customer-service robot knows the feeling of desperately wanting a real person on the line. Some of the shortcomings of human connection are also, in fact, features. But the fact that we often must earn human empathy, and that it comes from limited beings who devote themselves to being there for us, is part of its beauty.
21．Why does AI often outperform humans at showing empathy
A．It has unlimited patience. B．It shares related experience.
C．It focuses on people’s feeings. D．It prioritizes solving problems.
22．What does the underlined word “pitfalls” in paragraph 4 probably mean
A．Responses. B．Shortcomings.
C．Experiences. D．Feelings.
23．What can we learn from the last paragraph
A．Human care is irreplaceable. B．In-person chats have limits.
C．Service lines benefit human. D．Emotion is enhanced by AI.
24．Which of the following is a suitable title for the text
A．Chatbots: The New Emotional Support B．The Double-Edged Sword of Chatbots
C．The Rising Demand for AI Therapists D．Learn to Be a Listener like Chatbots
Google used its artificial intelligence-powered weather forecasting tools to precisely predict floods up to a week in advance of them happening. In a new paper published in the scientific journal Nature, Google’s researchers describe this as an early warning system that could be used throughout the world, not only to predict or recognize natural disasters but also to buffer the worst effects of what is one of the most common types of natural disasters.
Flooding can be difficult to accurately predict, particularly riverine floods, due to a lack of resources and data related to flood history, water levels, and terrain (地形). AI use in weather forecasting is nothing new. Still, the rise of more powerful processors and larger data sets is allowing for new scales of prediction, including a new Nvidia digital Earth.
A small percentage of global rivers have streamflow gauges (测量仪) which can be used to warn people if the volume of water flowing through the river changes. When combined with other points such as the local terrain, settlements near the river, weather forecasting, and historical events on the same river, data can be used to predict flooding. Google researchers gathered as much global data as they could access and trained new AI models to analyze them. Afterwards, those models could then make predictions for those regions where data might be considerably limited or even nonexistent.
The team launched a Flood Hub platform, which provided access to forecasts in 20countries where flood forecasting had been difficult in the past. The platform collected seemingly unrelated information which was available locally, fed it into the AI system as a reminder, and ordered the AI to fill in the gaps and then classify data. So far Flood Hub has been expanded to 80 countries in Africa, Asia-Pacific, Europea, and the Americas, covering over 460 million people globally, particularly those in communities suffering from flooding. “Where possible, we also provide forecasts in Google Search and Google Maps and via Android warnings.” the Google team declared.
25．What does the underlined word mean in Paragraph 1
A．Dismiss. B．Relieve. C．Perceive. D．Track.
26．Why is it hard to predict flooding
A．Relevant records are absent. B．Gauges are far from precise.
C．AI is new to weather forecasting. D．Former studies are of little worth.
27．What can we know about flooding-forecasting AI models
A．They are accessible to global data. B．They are very quick in data analysis.
C．They can ensure the reliability of data. D．They can break geographical limitations.
28．What does Paragraph 4 focus on about Flood Hub platform
A．Its designing principles. B．Its operating difficulties.
C．Its dilemma and application. D．Its mechanism and popularity.
Diverging Philosophies in Modern Artificial Intelligence: A Comparative Study
The landscape of artificial intelligence has become increasingly stratified (分层的) as major players unveil novel paradigms to navigate the complex interplay between functionality, accessibility, and privacy. Among them, OpenAI’s ChatGPT, Google’s Gemini, DeepSeek, and Apple Intelligent epitomize diverging philosophical underpinnings in AI’s progression.
ChatGPT, introduced in 2022, epitomizes the apex of natural language generation. Underpinned by extensive transformer-based architectures, it excels in coherent discourse, dynamic context-switching, and creative generation. Its accessibility through API democratizes AI deployment; however, critics underscore its proclivity (倾向) for generating plausible yet factually erroneous content—a persistent vulnerability in stochastic models.
Google’s Gemini, launched in late 2023, diverges through an aggressive push toward multimodal synthesis. Beyond mere textual prowess, Gemini interprets and generates across visual, auditory, and textual spectra. Nevertheless, its proprietary infrastructure and enigmatic training corpus have engendered skepticism regarding its ethical transparency and bias mitigation efforts.
By contrast, DeepSeek, a nimble contender emerging from China, champions open-source democratization. Its architectural economy facilitates deployment on modest hardware, thereby lowering the barrier to entry for researchers and developers. Still, doubts persist over its resilience in adversarial settings and its capacity for genuine innovation beyond mimetic replication of existing paradigms.
Apple Intelligent, diverging further still, prioritizes localized processing to ensure maximal data sovereignty. Embedded within native hardware via specialized neural engines, it aspires to fuse ambient computing with rigorous privacy standards. This strategic insularity, while bolstering user trust, simultaneously circumscribes its adaptability, especially when juxtaposed against cloud-augmented competitors.
Collectively, these platforms underscore AI’s increasingly pluralistic evolution, wherein trade-offs between openness, computational sophistication, and ethical stewardship are not merely technical choices but ideological battlegrounds. As AI systems embed themselves deeper into quotidian existence, discerning users must grapple with questions not only of performance, but of trust, transparency, and long-term societal ramifications
29．Based on the passage, which platform most intentionally sacrifices adaptability for the sake of privacy
A．ChatGPT B．Gemini
C．DeepSeek D．Apple Intelligent
30．What can be inferred about the author’s perspective on DeepSeek’s contributions to AI innovation
A．The author views DeepSeek as a major innovator
B．The author questions whether DeepSeek truly innovates
C．The author believes DeepSeek surpasses Gemini in capabilities
D．The author views DeepSeek as irrelevant to the AI landscape
31．What is one of the main criticisms faced by ChatGPT according to the text
A．High cost of hardware deployment
B．Overreliance on proprietary datasets
C．Tendency to produce plausible but inaccurate responses
D．Limited multimodal capabilities
32．According to the passage, which platform explicitly integrates multimodal abilities
A．ChatGPT B．Gemini
C．DeepSeek D．Apple Intelligent
参考答案
题号 1 2 3 4 5 6 7 8 9 10
答案 C D B B B B A D A B
题号 11 12 13 14 15 16 17 18 19 20
答案 D B B D D A C D C B
题号 21 22 23 24 25 26 27 28 29 30
答案 C B A D B A D D D B
题号 31 32
答案 C B
1．C 2．D 3．B 4．B
1．推理判断题。根据第一段“Inside a recording room at Queen Mary University of London, a group of researchers work with novel artificial intelligence (AI) tools to develop what they call the “new virtual worlds” of music. Andrea Martonelli and Max Graf are among more than 30 doctoral students working with Dr. Mathieu Barthet, a senior lecturer in Digital Media, to explore computational creativity and generative AI.(在伦敦玛丽女王大学的一间录音室里，一组研究人员正在使用新型人工智能（AI）工具开发他们所谓的音乐“新虚拟世界”。Andrea Martonelli和Max Graf等30多名博士生与数字媒体高级讲师Mathieu Barthet博士合作，探索计算创造力和生成式人工智能)”可知，Andrea和Max想要利用人工智能制作音乐。故选C项。
2．推理判断题。根据第三段“UK alternative rock singer-songwriter Yungblud believes AI could help his music go “to another direction”. Other musicians worry that the technology could go too far. (英国另类摇滚歌手兼词曲作者Yungblud认为，人工智能可以帮助他的音乐走向“另一个方向”。其他音乐家担心这项技术可能会走得太远。)”可知，Yungblud认为，人工智能可以帮助他的音乐走向“另一个方向”，所以是支持的态度。故选D项。
3．推理判断题。根据最后一段““I think AI can have its place in the music production chain, again if it’s guided in the right way and if we ensure that the musicians keep a certain amount of control, and performers as well,” said Dr. Barthet, “and there might be situations where AI-generated music works for new things that have not even emerged yet in new virtual worlds.”(Barthet博士说：“我认为人工智能可以在音乐制作链中占有一席之地，如果它以正确的方式引导，如果我们确保音乐家和表演者保持一定的控制权，那么人工智能生成的音乐可能会适用于新的虚拟世界中尚未出现的新事物。”)”可知，根据Barthet博士的话，可推知人工智能可以有一个非常光明的未来。故选B项。
4．主旨大意题。根据倒数第二段“Made popular by the ChatGPT language system, generative AI is able to create content including original sounds, lyrics or entire songs on its own. UK alternative rock singer-songwriter Yungblud believes AI could help his music go “to another direction”. Other musicians worry that the technology could go too far. “I feel if you need AI to help write a song, especially when it’s for a likeness, that’s not cool,” Amy Love from the band Nova Twins said, adding that using dead artists’ voices is “not on”.(由于ChatGPT语言系统的普及，生成式人工智能能够自己创作包括原创声音、歌词或整首歌曲在内的内容。英国另类摇滚歌手兼词曲作者Yungblud认为，人工智能可以帮助他的音乐走向“另一个方向”。其他音乐家担心这项技术可能会走得太远。Nova Twins乐队的Amy Love说：“我觉得如果你需要人工智能来帮你写歌，尤其是为了模仿别人，那就太不酷了。”她还补充说，使用已故艺术家的声音是“不合适的”)”以及纵观全文可知，全文围绕AI对音乐的双重影响展开，既有支持（如Yungblud）也有担忧（如法律问题），所以B项“人工智能的到来：打击还是音乐的新时代？”是本文最好的标题。故选B项。
5．B 6．B 7．A 8．D
5．推理判断题。根据第一段“Off the coast of Santa Barbara — Just yards from the Fish 1, a 22-foot research ship, a humpback whale about twice the size of the boat threw itself out of the water, sending shining droplets in a broken necklace of splash. In the other direction, a cargo ship, piled high with containers, crept closer.(在圣巴巴拉海岸外，距离22英尺长的科考船“鱼1号”仅几码远的地方，一条大约有船两倍大的座头鲸跃出水面，飞溅出闪闪发光的水珠，形成一条破碎的项链。在另一个方向，一艘堆满了集装箱的货船慢慢靠近)”可推知，第一段通过描述鲸鱼跃出水面和货船靠近的场景，为读者呈现了一幅生动的画面。故选B项。
6．细节理解题。根据第二段“By collecting data from several sources, Whale Safe forecasts to ships the chances of meeting a whale and then grades shipping companies on whether they actually slow down during whale migrations.( 通过从多个来源收集数据，鲸鱼安全组织预测船只遇到鲸鱼的机会，然后根据航运公司在鲸鱼迁徙期间是否真的放慢了速度，对它们进行评级)”可知，Whale Safe通过收集多个来源的数据，向船只预测遇到鲸鱼的可能性，即它向船只提供基于数据的警告。故选B项。
7．推理判断题。根据第三段““We can literally watch all of the ships in California and across the whole ocean; we are better positioned than ever before to try to track damage before it occurs,” McCauley said, “We are in trouble if we don’t do something different, and I realized that if I kept sticking my head literally underwater or stayed in the lab, these problems weren’t going to fix themselves.”(“我们真的可以看到加州和整个海洋的所有船只；麦考利说：“如果我们不采取不同的措施，我们就会陷入麻烦。我意识到，如果我一直把头埋在水下，或者呆在实验室里，这些问题不会自己解决。”)”可知，麦考利认为他们能够在损害发生之前进行追踪，而且如果不采取不同的措施就会有麻烦。由此推知，预防措施对于鲸鱼保护至关重要。故选A项。
8．推理判断题。根据最后一段““One of Doug’s notable qualities as a scientist is that he is keen to explore outside the box,” said Benjamin Halpern, a professor of marine biology and ocean conservation who has worked with McCauley for about a decade. “He is a very creative thinker, and able to think differently about the solutions to problems and what kinds of research and science can help inform those.”(“作为一名科学家，道格最显著的品质之一是，他热衷于在常规之外进行探索，”海洋生物学和海洋保护学教授本杰明·哈尔彭说，他与麦考利一起工作了大约十年。“他是一个非常有创造力的思想家，能够从不同的角度思考问题的解决方案，以及什么样的研究和科学可以帮助解决这些问题。”)”可知，道格拉斯·麦考利是一个有创造力的思想家，能够以不同的方式思考问题的解决方案。由此推知，他具有创新精神和解决问题的能力。故选D项。
9．A 10．B 11．D 12．B
9．细节理解题。根据第一段“While such questions may seem to belong to the field of science fiction, the world-ending potential of AI is becoming an increasingly urgent topic — mostly due to the rapid ongoing development of popular technologies like ChatGPT.(虽然这些问题似乎属于科幻小说的范畴，但人工智能终结世界的潜力正成为一个越来越紧迫的话题——这主要是由于ChatGPT等流行技术的快速发展)”可知，AI成为热点是因为技术进步。故选A。
10．细节理解题。根据第二段“One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now known as the ‘singularity’.(一种观点认为，随着每一代机器反过来创造出更智能的机器，这一事件将带来智能水平更高的爆炸式增长。这种智能爆炸现在被称为‘奇点’)”可知，奇点是“机器智能超越人类的假设点”。故选B。
11．细节理解题。根据第三段“The real danger is not that machines more intelligent than we are will usurp (篡夺) our role as captains of our destinies, but that we will overestimate the comprehension of our latest thinking tools, easily ceding (让渡) authority to them far beyond their competence.(真正的危险不是比我们更聪明的机器会取代我们主宰自己命运的角色，而是我们会高估自己对最新思维工具的理解能力，轻易地把权力拱手让给它们，远远超出它们的能力)”可知，Dennett认为真正的危险是人类对AI 能力的误判。故选D。
12．主旨大意题。根据第三段“The real danger is not that machines more intelligent than we are will usurp (篡夺) our role as captains of our destinies, but that we will overestimate the comprehension of our latest thinking tools, easily ceding (让渡) authority to them far beyond their competence.(真正的危险不是比我们更聪明的机器会取代我们主宰自己命运的角色，而是我们会高估自己对最新思维工具的理解能力，轻易地把权力拱手让给它们，远远超出它们的能力)”和第四段“Use it or lose it is the rule of thumb cited at this point... how concerned should we be that we are dumbing ourselves down by our growing reliance on intelligent machines (使用它或失去它是在这一点上引用的经验法则……我们应该多担心由于对智能机器的依赖而使自己变得愚笨呢？)”可知，全文围绕人类对AI的过度依赖及其潜在危险展开，B选项“过度依赖：人工智能的真正危险”最符合文章标题。故选B。
13．B 14．D 15．D 16．A
13．细节理解题。根据第二段“DeepSeek can analyze a student’s performance data, including test scores, assignment completion times, and areas of difficulty. By processing this vast amount of information, it creates customized study plans. (DeepSeek 可以分析学生的成绩数据，包括考试成绩、作业完成时间和困难领域。通过处理这些大量的信息，它创建了定制的学习计划)”可知，DeepSeek通过创建和提供定制的学习计划来帮助个性化学习。故选B项。
14．细节理解题。根据第四段“Moreover, in the field of curriculum (课程) design, DeepSeek provides valuable assistance to educators. It can analyze educational trends, emerging topics, and best practices from around the world. Based on this analysis, it can offer suggestions for updating curricula, ensuring that students are learning relevant and up-to-date content. (此外，在课程设计领域，DeepSeek为教育工作者提供了有价值的帮助。它可以分析来自世界各地的教育趋势、新兴话题和最佳实践。基于这一分析，它可以为更新课程提供建议，确保学生学习到相关且最新的内容)”可知，DeepSeek通过根据其相关分析给出建议来辅助课程设计。故选D项。
15．词句猜测题。根据第四段“For instance, in a rapidly changing subject like computer science, DeepSeek can help educators incorporate the latest programming languages and technological advancements into the curriculum. (例如，在像计算机科学这样快速变化的学科中，DeepSeek可以帮助教育工作者将最新的编程语言和技术进步corporate到课程中)”可知，DeepSeek能帮助教育工作者把最新的内容融入到课程里，所以incorporate意思是“整合，融入”，与D选项Integrate(整合)意思相近。故选D项。
16．主旨大意题。根据第一段“DeepSeek’s applications in education are diverse and impactful, bringing about a new era of learning experiences. (DeepSeek在教育领域的应用是多样且具有影响力的，带来了学习体验的新时代)”以及下文对DeepSeek在个性化学习、智能辅导、课程设计和语言学习等方面的应用描述可知，文章主要讲述了DeepSeek对教育的变革。故选A项。
17．C 18．D 19．C 20．B
17．细节理解题。根据第一段“Despite this, he’s always been fascinated by the ocean, especially sharks, and watched Jaws countless times. After backpacking through Australia in 2009 and diving along the way, he decided to pursue his passion seriously.(尽管如此，他一直对海洋，尤其是鲨鱼着迷，看了无数次《大白鲨》。2009年，他在澳大利亚背包旅行，沿途潜水，之后他决定认真追求自己的激情。)”可知，他从小热爱海洋，长大后也在继续追寻这份热爱，故选C。
18．推理判断题。根据第二段“His photograph later won first place in the conservation category of the 2019 International Ocean Art Underwater Photo Competition, bringing attention to the problem of sea waste that often goes unseen.(他的照片后来在2019年国际海洋艺术水下摄影比赛中获得了保护类第一名，引起了人们对经常被忽视的海洋废物问题的关注。)”可知，Shane拍海龟的照片是为了突出海洋污染问题。故选D。
19．细节理解题。根据第三段“Once you have a story to tell, create a shot list and keep shooting until you have recorded it fully.(一旦你有一个故事要讲，创建一个镜头列表，并继续拍摄，直到你把它记录完整。)”可知，水下摄影成功的关键在于有一个完整的故事，故选C。
20．细节理解题。从最后一段“Shane recommends that taking the time to admire the breathtaking views of the ocean should be the initial step toward creating meaningful change — a shift from indifference to active care.(Shane建议，花时间欣赏海洋的壮丽景色应该是创造有意义的改变的第一步——从冷漠到积极关怀的转变。)”可知，Shane认为激发人们保护海洋意识的第一步是欣赏海洋之美，故选B。
21．C 22．B 23．A 24．D
21．细节理解题。根据第三段“Chatbots’ responses stood out mainly because they focused on acknowledging feelings, unlike humans who often shared a seemingly related experience to offer solutions, unintentionally damaging the hope of being truly heard.(聊天机器人的回答之所以引人注目，主要是因为它们专注于承认感受，而不像人类经常分享看似相关的经历来提供解决方案，这无意中破坏了人们真正倾听的希望)”以及第四段“They focus entirely on the speaker. More than humans, chatbots paraphrase, acknowledge and justify how people might feel.(他们的注意力完全集中在说话人身上。与人类相比，聊天机器人更多地诠释、承认和证明人们的感受)”可知，因为人工智能关注的是人们的感受，所以在表现同理心方面往往胜过人类。故选C项。
22．词句猜测题。根据前文“Chatbots’ responses stood out mainly because they focused on acknowledging feelings, unlike humans who often shared a seemingly related experience to offer solutions, unintentionally damaging the hope of being truly heard.(聊天机器人的回答之所以引人注目，主要是因为它们专注于承认感受，而不像人类经常分享看似相关的经历来提供解决方案，这无意中破坏了人们真正倾听的希望)”可知，聊天机器人它们专注于承认感受，而不像人类经常分享看似相关的经历来提供解决方案，这破坏了人们真正倾听的希望，所以是聊天机器人避免了这些缺点，推知pitfalls应是“缺点”之意，和B项意思相近。故选B项。
23．推理判断题。根据最后一段“Chatbots might be helpful, but they still can’t feel or truly care. The demand for AI therapists (理疗师) may be growing, but many people still prefer human support. Anyone who has repeated “agent” at a customer-service robot knows the feeling of desperately wanting a real person on the line. Some of the shortcomings of human connection are also, in fact, features. But the fact that we often must earn human empathy, and that it comes from limited beings who devote themselves to being there for us, is part of its beauty.(聊天机器人可能会有所帮助，但它们仍然无法感受到或真正关心。对人工智能治疗师的需求可能正在增长，但许多人仍然更喜欢人类的支持。任何对客服机器人重复说过“代理”的人都知道那种迫切需要真人接听电话的感觉。事实上，人际关系的一些缺点也是特征。但事实是，我们经常必须赢得人类的同情，而这种同情来自于那些致力于为我们服务的有限的人，这正是它的美丽之处)”可知，从本段我们能了解到人类的关怀是不可替代的。故选A项。
24．主旨大意题。根据第一段“Large language models (LLMs) seem better at making people feel seen and heard than humans. This phenomenon, called “LLMpathy”, is both surprising and controversial. Some argue that computers can’t truly empathize (共情) for lack of emotion. Others are alarmed by how readily people are trading human connection for digital ones. But beyond these concerns, chatbots might offer something more practical. If they are beating us at empathy, shouldn’t we try to learn what they are doing, right (大型语言模型（LLMs）似乎比人类更善于让人感觉被看到和被听到。这种现象被称为“LLMpathy”，既令人惊讶，也备受争议。一些人认为，由于缺乏情感，计算机无法真正地移情。另一些人则对人们如何轻易地将人际关系换成数字关系感到震惊。但除了这些担忧之外，聊天机器人可能会提供一些更实用的东西。如果他们在移情方面胜过我们，我们难道不应该试着学习他们在做什么吗？)”可知，本文主要讲述了大型语言模型（LLMs）在共情能力上似乎优于人类，应该学习他们，所以D项“学会像聊天机器人一样倾听”是本文最好的标题。故选D项。
25．B 26．A 27．D 28．D
25．词句猜测题。根据划线词上文“In a new paper published in the scientific journal Nature, Google’s researchers describe this as an early warning system that could be used throughout the world, not only to predict or recognize natural disasters but also to (在科学杂志《自然》上发表的一篇新论文中，谷歌的研究人员将其描述为一种可以在全世界范围内使用的早期预警系统，不仅可以预测或识别自然灾害，还可以)”以及后文“the worst effects of what is one of the most common types of natural disasters. (最常见的自然灾害之一的最严重影响。)”可知，谷歌的这个人工智能天气预报工具是一个早期预警系统，这个可以用于世界各地，不仅能预测或识别自然灾害，也缓解自然灾害中最常见类型之一的最严重后果。“relieve”与“buffer”意思相近，即译为“缓解”。故选B。
26．细节理解题。根据第二段“Flooding can be difficult to accurately predict, particularly riverine floods, due to a lack of resources and data related to flood history, water levels, and terrain. (由于缺乏与洪水历史、水位和地形相关的资源和数据，洪水可能难以准确预测，尤其是河流洪水。)”可知，洪水难以预测，特别是河流洪水，是因为缺乏与洪水历史、水位和地形相关的资源和数据，所以相关记录是不足的。故选A。
27．推理判断题。根据第三段“Google researchers gathered as much global data as they could access and trained new AI models to analyze them. Afterwards, those models could then make predictions for those regions where data might be considerably limited or even nonexistent. (谷歌的研究人员收集了尽可能多的全球数据，并训练了新的人工智能模型来分析这些数据。然后，这些模型可以对那些数据可能相当有限甚至不存在的地区进行预测。)”可知，AI模型可以打破地理的界限。故选D。
28．主旨大意题。根据第四段“The team launched a Flood Hub platform, which provided access to forecasts in 20countries where flood forecasting had been difficult in the past. The platform collected seemingly unrelated information which was available locally, fed it into the AI system as a reminder, and ordered the AI to fill in the gaps and then classify data. So far Flood Hub has been expanded to 80 countries in Africa, Asia-Pacific, Europea, and the Americas, covering over 460 million people globally, particularly those in communities suffering from flooding. “Where possible, we also provide forecasts in Google Search and Google Maps and via Android warnings.” the Google team declared. (该团队启动了一个洪水中心平台，该平台提供了过去难以预测洪水的20个国家的预报。该平台收集本地可用的看似不相关的信息，将其作为提醒输入人工智能系统，并命令人工智能填补空白，然后对数据进行分类。到目前为止，洪水中心已经扩展到非洲、亚太、欧洲和美洲的80个国家，覆盖了全球4.6亿多人，特别是那些遭受洪水袭击的社区。“在可能的情况下，我们还通过谷歌搜索和谷歌地图以及Android警告提供天气预报。”谷歌团队宣布。)”可知，该段关于Flood Hub platform的关注点在于它的机制原理和受欢迎程度。故选D。
29．D 30．B 31．C 32．B
29．推理判断题。根据文章第五段“Apple Intelligent, diverging further still, prioritizes localized processing to ensure maximal data sovereignty. Embedded within native hardware via specialized neural engines, it aspires to fuse ambient computing with rigorous privacy standards. This strategic insularity, while bolstering user trust, simultaneously circumscribes its adaptability, especially when juxtaposed against cloud-augmented competitors.(苹果智能则更进一步地另辟蹊径，它优先考虑本地化处理，以确保最大程度的数据主权。通过专门的神经引擎嵌入到原生硬件中，它力求将环境计算与严格的隐私标准相融合。这种战略上的独立性，虽然增强了用户信任，但同时也限制了它的适应性，尤其是与那些有云增强功能的竞争对手相比时)”可知，苹果智能优先考虑本地化处理以确保最大程度的数据主权，通过专门的神经引擎嵌入原生硬件中，力求将环境计算与严格的隐私标准相结合。这种战略上的独立性在增强用户信任的同时，也限制了它的适应性，特别是与那些有云增强功能的竞争对手相比时。因此，最有意为了隐私而牺牲适应性的平台是 Apple Intelligent。故选D。
30．推理判断题。根据文章第四段“Still, doubts persist over its resilience in adversarial settings and its capacity for genuine innovation beyond mimetic replication of existing paradigms.(尽管如此，人们仍然怀疑它在对抗性环境中的稳健性，以及它在模仿现有范式之外真正进行创新的能力)”可知，作者质疑DeepSeek是否真的进行了创新。故选B。
31．细节理解题。根据文章第二段“however, critics underscore its proclivity (倾向) for generating plausible yet factually erroneous content—a persistent vulnerability in stochastic models.(然而，批评者强调它倾向于生成看似合理但在事实上却错误的内容，这是随机模型中一直存在的一个漏洞)”可知，批评者强调ChatGPT倾向于生成看似合理但实际上错误的内容，这是随机模型中一直存在的弱点。所以ChatGPT面临的主要批评之一是它有产生看似合理但不准确回应的倾向。故选C。
32．细节理解题。根据文章第三段“Google’s Gemini, launched in late 2023, diverges through an aggressive push toward multimodal synthesis. Beyond mere textual prowess, Gemini interprets and generates across visual, auditory, and textual spectra.(谷歌的Gemini于2023年末推出，它通过大力推动多模态合成而与众不同。Gemini不仅仅具备强大的文本处理能力，还能在视觉、听觉和文本等多个领域进行解读和生成)”可知，谷歌的Gemini通过大力推动多模态合成而与众不同，它不仅仅具备文本处理能力，还能在视觉、听觉和文本等多个领域进行解读和生成。故选B。
21世纪教育网 www.21cnjy.com 精品试卷·第 2 页 （共 2 页）
21世纪教育网(www.21cnjy.com)
同课章节目录