1 . Last week, I sent the same request to ChatGPT, the latest artificial-intelligence chatbot from OpenAI. “Upon the Firth of Forth, a bridge doth stand,” it began. In less than a minute, the program had created in full a rhyming Shakespearean sonnet (莎士比亚十四行诗). Tools like ChatGPT seem poised to change the world of poetry — and so much else — but poets also have a lot to teach us about artificial intelligence. If algorithms (算法) are getting good at writing poetry, it’s partially because poetry was always an algorithmic business.
Even the most rebellious (叛逆的) poets follow more rules than they might like to admit. When schoolchildren are taught to imitate the structure of sonnet, they are effectively learning to follow algorithmic constraints. Should it surprise us that computers can do so, too?
But considering how ChatGPT works, its ability to follow the rules for sonnets seems a little more impressive. No one taught it these rules. It is based on a newer kind of AI known as a large language model (LLM). To put it simply, LLMs analyze large amounts of human writing and learn to predict what the next word in a string of text should be, based on context. One frequent criticism of LLMs is that they do not understand what they write; they just do a great job of guessing the next word.
When a private verse by Dickinson makes us feel like the poet speaks directly to us, we are experiencing the effects of a technology called language. Poems are made of paper and ink — or, these days, electricity and light. There is no one “inside” a Dickinson poem any more than one by ChatGPT. Of course, every Dickinson poem reflects her intention to create meaning. When ChatGPT puts words together, it does not intend anything. Some argue that writings by LLMs therefore have no meaning, only the appearance of it. If I see a cloud in the sky that looks like a giraffe, I recognize it as an accidental similarity. In the same way, this argument goes, we should regard the writings of ChatGPT as merely imitating real language, meaningless and random as cloud shapes.
When I showed my friends the sonnet by ChatGPT, they called it “soulless and barren.” Despite following all the rules for sonnets, the poem is predictable. But is the average sonnet by a human any better? If we now expect computers to write not just poems but good poems, then we have set a much higher bar.
1. What is the main idea of paragraph 1 and paragraph 2?A.ChatGPT will make a difference to poetry based on algorithms. |
B.There is no doubt that AI can copy the grammatical rules of poetry. |
C.Poetry guidelines provide a possibility for AI’s poetry writing. |
D.There is a similarity between algorithms and poetry. |
A.ChatGPT is trained to follow the rules by LLMs. |
B.ChatGPT can analyze and predict human languages. |
C.ChatGPT is technologically supported by LLMs. |
D.ChatGPT itself learn to follow the rules. |
A.He talks about cloud to describe the meaninglessness of AI’s poetry. |
B.He tells of Dickinson to describe the meaninglessness AI’s poetry. |
C.He mentions cloud to suggest its close relationship with AI’s poetry. |
D.He refers to Dickinson to suggest her close relationship with AI’s poetry. |
A.Acceptable and favorable | B.Amazed and admiring |
C.Indifferent and uncaring | D.Doubtful and uneasy |
2 . Atomic shapes are so simple that they can’t be broken down any further. Mathematicians are trying to turn to artificial intelligence (AI) for help to build a periodic table of these shapes, hoping it will assist in finding yet-unknown atomic shapes.
Tom Coates at Imperial College London and his colleagues are working to classify atomic shapes known as Fano varieties, which are so simple that they can’t be broken down into smaller components. Just as chemists arranged element s in the periodic table by their atomic weight and group to reveal new insights, the researchers hope that organizing these atomic shapes by their various properties will help in understanding them.
The team has given each atomic shape a sequence of numbers based on its features such as the number of holes it has or the extent to which it bends around itself. This acts as a bar code (条形码) to identify it. Coates and his colleagues have now created an AI that can predict certain properties of these shapes from their bar code numbers alone, with an accuracy of 98 percent.
The team member Alexander Kasprzyk at the University of Nottingham, UK, says that the AI has let the team organize atomic shapes in a way that begins to follow the periodic table, so that when you read from left to right, or up and down, there seem to be general patterns in the geometry (几何) of the shapes.
Graham Nib lo at the University of Southampton, UK, stresses that humans will still need to understand the results provided by AI and create proofs of these ideas. “AI has definitely got unbelievable abilities. But in the same way that telescopes (望远镜) don’t put astronomers out of work, AI doesn’t put mathematicians out of work,” he says. “It just gives us new backing that allows us to explore parts of the mathematical landscape that are out of reach.”
The team hopes to improve the model to the point where missing spaces in its periodic table could point to the existence of unknown shapes.
1. What is the purpose of building a periodic table of shapes?A.To gain deeper insights into the atomic shapes. |
B.To create an AI to predict the unknown shapes. |
C.To break down atomic shapes into smaller parts. |
D.To arrange chemical elements in the periodic table. |
A.Its holes. | B.Its bends. |
C.Its atomic weight. | D.Its properties. |
A.Design. | B.Help. | C.Duty. | D.Threat. |
A.Thanks to AI, new atomic shapes have been discovered. |
B.Mathematicians turn to AI to create more atomic shapes. |
C.AI helps build a relationship between chemistry and maths. |
D.A periodic table of shapes can be built with the help of AI. |
3 . In US emergency rooms (ER), the average wait time to see a doctor is more than two hours. There are more patients in need than there are doctors, nurses and other staff to help them. Many parents have suffered through hours in the ER with a sick, upset child, only to get sent home because their case is not considered urgent. What if there was another choice—like a house call from an intelligent machine?
Now, a new study shows that AI systems can assess (评估) a child’s medical chart and come up with a diagnosis (诊断), a determination of what is wrong with that patient.
The study took place at Guangzhou Women and Children’s Medical Center in southern China. First, a team of doctors reviewed 6, 183 medical charts. They summarized the information in these charts into a list of keywords linked to disease-related symptoms or signs, such as “fever”. Researchers then taught these keywords to the AI system. Once trained, the system scanned children’s charts for the key terms, checking if they were present or not in order to come to a conclusion. Finally, it offered diagnoses based on the charts, narrowing down from among 55 illness categories.
Dongxiao Zhu, an assistant professor of computer science at Wayne State University who did not take part in the study, however, sees this as “augmented intelligence (增强智能)” rather than “artificial intelligence”, because the system handled only 55 illness categories. Compare that to thousands of possibilities in the real world. The machine cannot yet get into the more complex aspects of a medical decision.
Zhu is also concerned about the amount of human work that went into the study—namely, the time and energy spent by human doctors. They spent hours grading the machine’s assessments and comparing them to their own. It’s no wonder that the process took four years. Considering that, it may be a while before you can skip the ER and see a robot-doctor instead.
1. What can we infer from Paragraph 1?A.Patients pay too much for the ER. |
B.American doctors aren’t responsible. |
C.Children are treated urgently in the ER. |
D.The emergency rooms are crowded with patients. |
A.AI systems still have a long way to go. |
B.AI systems diagnose disease like doctors. |
C.AI systems will take over from doctors someday. |
D.AI systems get into complex medical decisions. |
A.By examining a patient first. |
B.By reviewing many medical charts. |
C.By scanning keywords about a disease. |
D.By observing disease-related symptoms. |
A.They need to be improved a lot. |
B.They will replace real doctors soon. |
C.They are suitable for complex disease. |
D.They help doctors make a quick analysis. |
4 . Armed with a toolkit of techniques and tricks to calm the mind and bring focus back to your body, you can stop stressful situations from sabotaging your day, says Katy Georgiou.
GROUND YOURSELF
Making contact with the ground is your baseline go-to response for stress. This technique can be especially helpful if you find your stress regularly turns into panic. Wherever you are, whatever you’re doing, place your feet flat on the ground so that you feel stable, and then close your eyes. If you’re able to sit on the floor cross-legged or to lie down flat, then even better.
Think of this as earthing: really connect with the ground beneath your body. Some studies suggest that this simple act can help reduce or relieve symptoms of stress such as pain and fatigue, reduce blood pressure, and improve sleep. If you’re feeling disconnected from the world, it can also remind you that you belong to it and are a crucial part of it — the ground will always be there for you.
LOVE THYSELF
Adopting regular, daily or weekly routines for self-care can be very containing, creating consistency amid all sorts of stressful life events happening around you. Looking in the mirror each day can actually remind you that you exist, so feel free to factor some reflective gazing into your daily routine, whether it’s while applying moisturiser, shaving, or brushing your hair. Studies have shown that being confronted with your reflection can have powerful effects, taking us out of our heads and into the immediate present. For added effect, pay attention to the way your products interact with your hair and skin as you apply them.
Playing around with smells, colours and textures in your hands will also engage your senses. Using a scented shampoo or smoothing on body lotion after a warm bath can be easy ways to do this.
CLEAR YOUR MIND
Abandon all your thoughts and try to focus only on your surroundings. What can you see, hear, smell, taste and touch? Identify three things you can hear, one thing you can taste, four things you can see and two things you can feel on your skin. Pick out colours in the room you are sitting in, notice textures and different kinds of light. If somebody is with you, tell them what you are experiencing. The point here is that your senses are your best and easiest route back to feeling calm, by coming out of your head and rooting yourself back in the present. This is incredibly helpful if you’re having a panic attack or flop response.
1. If your friend Jane always feels worn out and suffers from sleep deprivation, which of the following techniques will you especially recommend to her?A.Connect her body to the ground beneath her. |
B.Adopt a daily gaze at her reflection in the mirror. |
C.Exchange her scentless shampoo for an aromatic one. |
D.Focus on what she can see, hear, smell, taste and touch. |
A.Lying down flat can better relieve your stress. |
B.Grounding yourself can give you a sense of belonging to the world. |
C.Brushing your hair while looking in the mirror can remind you of your existence. |
D.Those having a panic attack should shut their senses down. |
A.help people understand themselves better |
B.introduce some practical methods for stress management |
C.emphasize the significance of exploiting multiple senses |
D.promote a mindset of living in the moment |
5 . How Did You Get Five Fingers?
Your arms and toes began as tiny buds that sprouted from your sides when you were just a four-week-old embryo (胚胎). By six weeks, these limb buds had grown longer and five rods of cartilage 软骨) had appeared in their flattened tips. By week seven, the cells between the rods had died away, forming five small fingers or toes from once-solid masses of flesh.
Now, a team of scientists led by James Sharpe from the Centre for Genomic Regulation in Barcelona has discovered that these events are carefully orchestrated by three molecules. They mark out zones in the embryonic hand where fingers will grow, and the spaces in between that are destined to die. Without such molecules, pianos and keyboards wouldn’t exist, and jazz hands would be jazz palms.
These three molecules work in a way first envisioned by Alan Turing, a legendary English mathematician and code-breaker. Back in 1952, Turing proposed a simple mathematical model in which two molecules could create patterns by spreading through tissues and interacting with each other. For example, the first molecule might activate the second, while the second blocks the first. Neither receives any guidance about where to go; through their dance, they spontaneously organize themselves into spots or stripes.
Since then, many scientists have found that these Turing mechanisms exist. They’re responsible for a cheetah’s spots and a zebrafish’s stripes. For 30 years, people have also suggested that they could sculpt our hands and feet, but no one had found the exact molecules involved.
Sharpe knew that these molecules would need to show a striped pattern. Sox9 seemed like the most promising candidate. It is activated in a striped pattern from a very early stage of development. By comparing cells where Sox9 is active or inactive, Jelena Raspopovic and Luciano Marcon found two other groups of genes—Bmp and Wnt—also formed striped patterns. Bmp rises and falls in step with Sox9 and both are active in the digits. Wnt is out of phase; it’s active in the gaps. The three molecules also affect each other: Bmp activates Sox9 while Wnt blocks it; and Sox9 blocks both of its partners. It looked like these were the molecules the team was searching for not a pair, as Turing suggested, but a trinity. To confirm this, they created a simulation of a growing limb bud and showed that Sox9, Bmp and Wnt could organize themselves into a pattern of five stripes, by activating and blocking each other.
There’s still a lot to discover, though. For example, I’ve used Bmp and Wnt as shorthands here—in reality, each represents a class of several molecules, and the team still needs to work out which specific member is part of the Turing’s proposal.
1. The underlined sentence in the second paragraph means that ________.A.some certain molecules are necessary for the growth of human fingers |
B.the development of embryos is dependent on some certain molecules |
C.without some certain molecules, music won’t exist in this world |
D.the molecules work in a way that Alan Turing once offered |
A.Molecules interact by following a strict mathematical model. |
B.Molecules have a strong will to form patterns in nature. |
C.The formation of patterns in nature may be dominated by molecules. |
D.Alan Turing was able to track down the movement of molecules. |
A.A protein that determines humans’ development in childhood. |
B.A gene especially important for the development of our limbs. |
C.A striped pattern that always interacts with Bmp and Wnt. |
D.A simulation of growing limbs that activate and block each other. |
A.How human limbs are developed may well be similar to how animal spots are shaped. |
B.The way Sox9 interacts with Bmp and Wnt is still a mystery that needs further studying. |
C.Sox9 can activate both Bmp and Wnt to form our limbs, according to scientific research. |
D.Sox9, Bmp and Wnt are three specific molecules that determine the growth of fingers. |
6 . On March 7, 1907, the English statistician Francis Galton published a paper which illustrated what has come to be known as the “wisdom of crowds” effect. The experiment of estimation he conducted showed that in some cases, the average of a large number of independent estimates could be quite accurate.
This effect capitalizes on the fact that when people make errors, those errors aren’t always the same. Some people will tend to overestimate, and some to underestimate. When enough of these errors are averaged together, they cancel each other out, resulting in a more accurate estimate. If people are similar and tend to make the same errors, then their errors won’t cancel each other out. In more technical terms, the wisdom of crowds requires that people’s estimates be independent. If for whatever reasons, people’s errors become correlated or dependent, the accuracy of the estimate will go down.
But a new study led by Joaquin Navajas offered an interesting twist (转折) on this classic phenomenon. The key finding of the study was that when crowds were further divided into smaller groups that were allowed to have a discussion, the averages from these groups were more accurate than those from an equal number of independent individuals. For instance, the average obtained from the estimates of four discussion groups of five was significantly more accurate than the average obtained from 20 independent individuals.
In a follow-up study with 100 university students, the researchers tried to get a better sense of what the group members actually did in their discussion. Did they tend to go with those most confident about their estimates? Did they follow those least willing to change their minds? This happened some of the time, but it wasn’t the dominant response. Most frequently, the groups reported that they “shared arguments and reasoned together”. Somehow, these arguments and reasoning resulted in a global reduction in error. Although the studies led by Navajas have limitations and many questions remain, the potential implications for group discussion and decision-making are enormous.
1. What is paragraph 2 of the text mainly about?A.The methods of estimation. | B.The underlying logic of the effect. |
C.The causes of people’s errors. | D.The design of Galton’s experiment. |
A.the crowds were relatively small | B.there were occasional underestimates |
C.individuals did not communicate | D.estimates were not fully independent |
A.The size of the groups. | B.The dominant members. |
C.The discussion process. | D.The individual estimates. |
A.Unclear. | B.Dismissive. | C.Doubtful. | D.Approving. |
7 . My students frequently ask me how I planned out my career to become president of Fidelity Investments. I always tell them, “There was no grand plan; I backed into my career one step at a time.” In this tough economy and ever-changing world, it is more important than ever to smartly evaluate each step in your career. To prepare for whatever surprises lie ahead, try to make choices today that will maximize your options in the future.
Gaining transferable (可转移的) knowledge begins with the choices you make at school. You want your education to provide you with the necessary skills and expertise to succeed in a wide variety of jobs.
Once you have finished your formal education, search for jobs that will allow you to further expand your transferable knowledge—to help you find your next job. Let’s say you take a job putting together airplane leases. Within a few years, you could become the world’s expert on the subject.
Remember gaining transferable knowledge is only one piece of the puzzle.
Of course, you can build your network to some degree without changing jobs.
A.You can make yourself more attractive. |
B.Gain transferable expertise and form close bonds with your colleagues. |
C.Your next step should help you expand your web of personal relationships. |
D.This later helped me evaluate and start business units throughout the world. |
E.You can attend conferences or participate in committees at trade associations. |
F.This means that you need to make smart choices about the courses you will follow. |
G.However, this narrow expertise probably won’t help you in any other line of work. |
8 . A huge crowd has gathered to watch China’s new scientific research ship enter the water for the first time. This ship, equipped with on-board labs and the latest scientific kit, will eventually explore the world’s oceans. But it is also going to help China plunge beneath the waves: it will serve as a launch-pad for submarines that can dive to the deepest parts of the ocean. “Humans know much less about the deep oceans than we know about the surface of the Moon and Mars. That’s why I want to develop the facility for ocean scientists to reach the deep seas,” says Prof. Cui Weicheng.
He is the dean of deep sea science at Shanghai Ocean University but he has also set up a private company called Rainbow Fish, which built the new research ship and is busy developing submersibles. One of its unmanned subs reached a depth of 4,000m (13,000ft) in its most recent trial. But Rainbow Fish’s ultimate goal is manned exploration and it plans to take humans to the very bottom of the ocean the Mariana Trench, in the Pacific, at a depth of nearly 11,000m (36,000ft). He shows me around a life-size model of the submarine and explains that there is room inside for a crew of three, who will be protected by a thick metal sphere.”At the moment, we are in the design stage, so we are testing several extremely high-strength materials for it.” It will have to bear immense pressures from the crushing weight of water above. If there are any weaknesses, the submarine will implode. The deepest ocean is a place few people have ever experienced first-hand. The first dive to the Mariana Trench was carried out in 1960 by US Navy Lieutenant Don Walsh and Swiss engineer Jacques Picard. Their vessel, the Bathyscaphe Trieste, creaked and groaned as it made the descent, taking nearly five hours.
The only other manned expedition was carried out by Hollywood director James Cameron, who took a solo plunge in a bright green submarine in 2012. Rainbow Fish wants its sub to be next. The team insists its venture isn’t about politics and that it is looking to collaborate with American, Russian and European scientists. It is, though, a commercial operation. The company plans to charge people to use its research ship and submarines, and is targeting three groups, says managing director Dr. Wu Xin. “The first is definitely the scientists who are interested in studying deep-sea science and technology. The second group is offshore companies and oil companies. The last one is tourists and adventurers [who] want to go down themselves to have a look at what’s going on there,” he says. This kind of entrepreneurial approach may be a new model for science in China. Deep-sea research is a difficult, high-risk activity — and much of the ocean remains unexplored. But Cui, who hopes to be the first Chinese person to reach the Mariana Trench, believes that China could be the nation to truly open up this final frontier.
1. What function does the new scientific research ship serve?A.As a deep-sea facility for tourist adventures |
B.As a supply ship for scientific explorations. |
C.As a station for observing giant squid. |
D.As a launch-pad for submarines. |
A.Testing high-strength materials for building submarines. |
B.Designing a thick metal sphere for bearing space pressure. |
C.Charting the Mariana Trench in the western Pacific Ocean. |
D.Making plans for his dive to the bottom of the Mariana Trench. |
A.Prof. Cui doesn’t rely on government funding. Instead he runs a for-profit business. |
B.Prof. Cui is bold in his submarine design. |
C.Prof. Cui, who started the company, is a professor-turned entrepreneur. |
D.Prof. Cui is the first to offer his ship for tourists. |
A.Deep-sea science and technology | B.Ocean exploration |
C.Race to the deep | D.The rising of Rainbow Fish |
9 . HANDSTITCHED WORLDS: THE CARTOGRAPHY OF QUILTS
Quilts (床罩) are a narrative art; with themes that are political, spiritual, communal, or commemorative, they are infused with history and memory, mapping out intimate stories and legacies through a handcrafted language of design. Handstitched Worlds: The Cartography of Quilts is an invitation to read quilts as maps, tracing the paths of individual histories that illuminate larger historic events and cultural trends.
Spanning the nineteenth to twenty-first centuries, this insightful and engaging exhibition brings together 18 quilts from the collection of the American Folk Art Museum, New York, representing a range of materials, motifs, and techniques from traditional early-American quilts to more contemporary sculptural assemblages. The quilts in Handstitched Worlds show us how this too-often overlooked medium balances creativity with tradition, individuality with collective zeitgeist. Like a road map, these unique works offer a path to a deeper understanding of the American cultural fabric.
Number of Works:18 quilts
Organized by: American Folk Art Museum, New York
Approximate size:175-200 linear feet
Security: Moderate security
Participation Fee: Please inquire
Shipping: IA&A makes all arrangements; exhibitors pay outgoing shipping costs within the contiguous U.S.
Booking Period:12 weeks
Tour: June 2021—August2024
Contact: TravelingExhibitions@ArtsandArtists.org
Leigh Yawkey Woodson Art Museum, Wausau, WI
June 12, 2021—August 29, 2021
Washington State Historical Society, Tacoma, WA
September 17, 2021—January 23, 2022
Utah Museum of Fine Arts, Salt Lake City, UT
February 19, 2022—May 14, 2022
Fort Wayne Muesum of Art, Fort Wayne, IN
June 18, 2022—September 11, 2022
AVAILABLE
October 2022—January 2023
Dane G. Hansen Memorial Museum, Logan, KS
February 17,2023—May 14, 2023
AVAILABLE
June 2023—December 2023
Lauren Rogers Museum of Art, Laurel, MS
January 30, 2024—April 21, 2024
AVAILABLE
May 2024—August 2024
All tour dates can be customized to meet your scheduling needs. Please contact Traveling Exhibitions @ Artsand Artists.org for more information.
1. What is the purpose of the exhibition of Handstitched Worlds: The Cartography of Quilts?A.To promote creativity and individuality thorough the engaging exhibition. |
B.To provide an opportunity for visitors to learn to make quilts stitch by stitch. |
C.To give visitors an insight into the history and culture of America in specific periods. |
D.To enrich the understanding of the American culture by a tour visit to museums across America. |
A.The exhibition is free both for the exhibitors and for the visitors. |
B.Exhibitors that are interested can choose whatever dates they want. |
C.The artistic and historic value of handstitched quilts used to be neglected. |
D.Exhibitors that are interested can book the exhibition 12 weeks in advance. |
A.exhibitors | B.visitors | C.artists | D.historians |
10 . “I’m not a reader.” It’s a common reply that Julia Torres, a teacher-librarian in Denver Public School, has heard throughout her 16-year career. She’s seen students tear up books, throw them away or check them out only to immediately return them all because they didn’t have confidence in their ability to read.
As a librarian, Torres feels strongly that libraries should be spaces of liberation, places where students can develop a love of reading at any stage. Reading is a skill that everyone can grow to love, but too many negative experiences during a child’s literacy (读写能力) education can result in boredom, lack of interest or even anger. When a student has a poor experience like being shamed for their reading choices, they can begin to associate reading with painful feelings of insecurity, shame and stress.
To prevent reading disorder (阅读障碍) practices, as Torres notes, librarians first can build an inclusive (内容丰富的) library where classified collections can make it easier for students to find out the books they want and also help identify gaps in the collections. Reevaluating librarians’ role is necessary, which allows students to take control of the library and have a say in what’s purchased for the collection, directly exciting students’ reading interest. Instead of hosting traditional book fairs where students have to pay for books, it is better to open up a True Book Fair, where students are invited to choose books intentionally to their interests without any costs. Librarians are recommended to read what students are reading. Another two important approaches to preventing reading disorder are to take a look at the library policies and redefine (重新定义) what counts as reading. It is necessary to get rid of fines, check-out limits, security gates, and punishment policies. Plus, students are encouraged to listen to audiobooks or read picture books. Find a way to teach important skills like comprehension or critical thinking with the texts that excite and interest students.
1. What does the underlined sentence “I’m not a reader” in Paragraph 1 infer?A.Some students are not interested in reading. |
B.Some students have no ability to read books. |
C.Some students don’t borrow books from the library. |
D.Some students haven’t tried to read for entertainment. |
A.Getting rid of library rules. | B.Making their own choices. |
C.Librarians’ recommendation. | D.Reducing charges caused by reading. |
A.What leads to students’ difficulty in reading. |
B.How negative reading experiences affect students. |
C.How to reduce reading disorder as student librarians. |
D.Why to decrease reading disorder as student librarians. |
A.To do a research on reading disorder. |
B.To offer suggestions to the librarians. |
C.To analyze why reading disorder forms. |
D.To draw attention to reading disorder prevention. |