1. 阅读理解

Have you ever seen your cat or dog eating grass? They do so because it can help their digestion, and many wild species use natural substances to prevent and control diseases. This is called "zoo pharmacognosy" or, more commonly, animal self-medication.

Scientists have discovered that tamarin monkeys use a specific tree resin (树脂) as medicine. In the Brazilian Atlantic Forest, scientists followed several groups of them to collect data. During one of these daily studies, tamarin monkeys were observed rubbing their bodies on the trunk of a tree. At first, researchers thought that they were marking their territory, a common behaviour in this species. Botanical experts later confirmed that the tree was a species of cabreuva, which is well known for its medical properties.

Researchers decided to place camera-traps in different sites at the foot of the tree to record future visits by tamarin monkeys. The records surprisingly showed that many animals living in the forest visited it. Totally, ten species were observed. For many of them, it was the first time that behaviors similar to self-medication had been observed. More surprisingly, one species spread resin on each other's fur in pairs. In general, the species seemed to specifically visit the tree to acquire the resin and seemingly benefit from it, either healing their wounds or fighting back parasites (寄生虫).

While further studies are needed to identify the properties of the resin and thus confirm that this is indeed self-medication, the use of it suggests that cabreuva represents a common and universal drugstore for the residents of the Brazilian Atlantic Forest. It is likely to be a valuable resource helping the species maintain their magnitude by improving their health.

This discovery could have an important protection influence, as the disappearance of some trees could potentially affect the survival of some animals.

(1) Why do tamarin monkeys rub themselves against the tree? A. They would like to digest what they eat. B. They are trying to cure diseases. C. They are attracting companions' attention. D. They feel like occupying the land.
(2) What do researchers find through camera-traps? A. Animals can help each other clean the fur. B. Many animals copy monkeys' behaviors. C. Resin can be used as medicine for some animals D. The cabreduva is the habitat of tamarin monkeys.
(3) What does the underlined word "magnitude" in paragraph 4 probably mean? A. Characteristics. B. Populations. C. Flexibilities. D. Similarities.
(4) What is the possible significance of the discovery? A. Increasing the production of resin. B. Promoting evolution of creatures. C. Motivating the study of monkeys' diet. D. Contributing to forest conservation.
【考点】
推理判断题; 词义猜测题; 细节理解题; 说明文; 科普类;
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1.阅读下列短文,从每题所给的A、B、C和D四个选项中,选出最佳选项。

Every morning at five o'clock, composer (作曲家) Walter Werzowa would sit down at his computer waiting for a particular daily e-mail. It came from a team that had been working all night to draft Beethoven's unfinished 10th Symphony. The e-mail contained hundreds of versions, and Werzowa listened to them all, looking for the perfect tune—a sound that was unmistakably Beethoven. But the phrases he was listening to weren't composed by Beethoven. They were created by artificial intelligence.

When Ludwig van Beethoven died in 1827, he left behind some musical drafts and notes. There was barely enough to make out a phrase, let alone a whole symphony. But that didn't stop people from trying.

Werzowa and a group of music experts and computer scientists teamed up to use machine learning to create the symphony. Ahmed Elgammal led the AI side of the team. The team's first task was to teach the AI to think like Beethoven. To do that, they gave it Beethoven's complete works, his drafts and notes. They taught it Beethoven's process—like how he went from four notes to his entire Fifth Symphony. Then they taught it to compose a bridge between two sections. With all that knowledge, the AI came as close to thinking like Beethoven as possible. But it still wasn't enough. The AI doesn't really produce something that can continue for a long time and be consistent. So the team had to put the selected pieces together to build a symphony.

Matthew Guzdial researches creativity (创造力) and machine learning at the University of Alberta. He didn't work on the Beethoven project, but he says, "Modern AI, modern machine learning, is all about just copying small local patterns. And it's up to a human to then take what the AI outputs and find the genius (天资). The genius wasn't in the AI. The genius was in the human who was doing the selection."

(1) How did Walter Werzowa contribute to the Beethoven project? A. He trained the AI to think like a human. B. He replied to daily e-mails every morning. C. He selected the best tune created by the AI. D. He drafted Beethoven's unfinished symphony.
(2) What was the major challenge the team met? A. The AI was far from thinking like Beethoven. B. It was hard to put pieces together to build a symphony. C. The AI couldn't create a long and consistent piece of music. D. There were not enough complete works for machine learning.
(3) Which of the following would Matthew Guzdial most probably agree with? A. Al is likely to be a barrier to creativity. B. The potential of AI is being brought out. C. The value of AI shouldn't be overlooked. D. AI can't totally replace the role of humans.
阅读理解 常考题 普通
2.阅读理解

The research company OpenAI has recently released ChatGPT, a language model that can construct remarkably well-structured arguments based on simple cues provided by a user. The system which uses a massive source of online text to predict what words should come next is able to create new stories in the style of famous writers, write news articles about itself and produce essays that could easily receive a passing grade in most English classes.

That last use has raised concern among academics, who worry about the possibility of an easily accessible platform that, in a matter of seconds, can put together essays as good as -- if not better than -- the writing of a typical student.

Cheating in school is not new, but ChatGPT and other language models are totally different from the hacks(雇佣文人)students have used to take a shortcut in the past. The writing these language models produce is completely original, meaning that it can't be distinguished by even the most advanced plagiarism(剽窃)software. The AI also goes beyond just providing students with information they should be finding themselves. It organizes that information into a complete narrative.

Beyond potential academic honesty issues, some teachers worry that the true value of learning to write -- like analysis, critical thinking, creativity and the ability to structure an argument -- will be lost when AI can do all those complex things in a matter of seconds.

"We might know more things but we never learned how we got there. We've always said that the process is the best part and we know that. The satisfaction is the best part. That might be the thing that's removed from all of this. Actually, I don't know what a person is like if they've never had to struggle through learning. I don't know the behavioral implications of that," said Peter Laffin.

"Whenever there's a new technology, there's a panic around it. It's the responsibility of academics to have a healthy amount of distrust, but I don't feel like this is an undefeatable challenge," Sandra Wachter, technology researcher, said.

(1) What is mainly stressed about ChatGPT in the first paragraph? A. Its unusual functions. B. Its working process. C. Its promising future. D. Its wide application.
(2) What is unique about ChatGPT's writings? A. They belong to a new cheating form. B. They are writings of ChatGPT's own. C. They provide students with all needed information. D. They are better than writings from the hacks.
(3) What is Peter Laffin concerned about? A. AI makes us struggle through learning. B. AI might be improperly used by hacks. C. AI might rob us of the pleasure of learning. D. AI might result in many writers losing their jobs.
(4) What can we infer from Sandra Wachter's words? A. He is pleased to see the release of ChatGPT. B. He is ready for the challenges from ChatGPT. C. He is in a panic about the use of ChatGPT. D. He has a healthy distrust of ChatGPT.
阅读理解 未知 普通
3. 阅读理解

Scientists have found a way to decode (解码) a stream of words in the brain using MRI scans and artificial intelligence. The system reconstructs the main point of what a person hears or imagines, rather than trying to copy each word, a team reports. "It's getting at the ideas behind the words, the meaning, says Alexander Huth, an author of the study.

Previous efforts to decode language have relied on sensors placed directly on the surface of the brain. The sensors detect signals in areas involved in expressing words. But the Texas team's approach is an attempt to "decode more freeform thought," says Marcel Just, a professor of psychology at Carnegie Mellon University.

The new study came about as part of an effort to understand how the brain processes language. Researchers had three people spend up to 16 hours each in a functional MRI scanner, which detects signs of activity across the brain. Participants wore headphones that streamed audio from the Internet. Those streams of words produced activity all over the brain, not just in areas associated with speech and language. After participants listened to hours of stories in the scanner, the MRI data was sent to a computer. It learned to match specific patterns of brain activity with certain streams of words. Then came a paraphrased version of what a participant heard. 

The MRI approach is currently slower and less accurate than an experimental communication system being developed for paralyzed people, where people get a sheet of electrical sensors implanted directly on the surface of the brain. With an MRI-based system, no one has to get surgery. 

But future versions of MRI scans could raise moral questions. "What if you can read out the word that somebody is just thinking in their head? That's potentially a harmful thing." Huth says. This technology can't really read minds uncontrollably, though. It only works when a participant is actively cooperating with scientists. Still, systems that decode language could someday support people who are unable to speak because of a brain injury or disease. They are also assisting scientists in understanding how the brain processes words and thoughts.

(1) What is special about the Texas team's study? A. Brain can be reconstructed. B. Sensor signals can be improved. C. Expression can be perfected. D. Meanings can be comprehended.
(2) What is paragraph 3 mainly about? A. The way of speech decoding. B. Steps of word matching. C. The process of an experiment. D. Patterns of brain activity.
(3) What can be implied about MRI scans from the last paragraph? A. They are a double-edged sword. B. They are potentially harmful to life. C. They are well worth researching. D. They are helpful to treat brain disease.
(4) Which can be a suitable title for the text? A. A Decoder That Can Convey Meaning B. A Decoder That Can Read Your Mind C. MRI Scanner: Still a Long Way to Go D. MRI Scanner: Bridge Message Gap
阅读理解 未知 普通