“Woman reading book, under a night sky, dreamy atmosphere,” I type into Deep Dream Generator’s Text 2 Dream feature. In less than a minute, an image is returned to me showing what I’ve described.
Welcome to the world of AI image generation, where you can create what on the surface looks like top-rank artwork using just a few text prompts (提示). But closer examination shows oddities. The face of the woman in my image has very odd features, and appears to be holding multiple books. And, while there’s an initial thrill at seeing an image appear, there’s no creative satisfaction.
AI image generation could influence everything from film to graphic novels and more. Children’s illustrators were quick to raise concerns about the technology. They say AI-generated art is the exact opposite of what art is believed to be. Fundamentally, art is all about translating something that you feel internally into something that exists externally. Whatever form it takes, true art is about the creative process much more than it’s about the final piece. And simply pressing a button to generate an image is not a creative process.
Beyond creativity, there are deeper issues. To create images from prompts, AI generators rely on databases of already existing art and text. This could lead to the creation of images that are intentionally meant to imitate the style of other artists, without their agreement. There is an argument that AI generators work no differently to humans when it comes to being influenced by others’ work. However, a human artist is also adding emotion and nuance (细微差别) into the mix. AI doesn’t do the same — it can only copy.
The increasing use of AI will also lead to a devaluing (贬低) of the work of artists. There’s already a negative prejudice towards the creative industry. People will begin to think that their “work” is as excellent as that created by someone who has spent a career making art. It’s nonsense, of course. You can use your mobile phone to take a nice picture of your daughter, but you are no match for professionals.
1. What does the writer think of his image creation?A.Exciting. | B.Appealing |
C.Unsatisfying. | D.Shocking. |
A.The creating process. | B.The final work. |
C.Personal feelings. | D.External forms. |
A.The styles of human artworks and AI ones. |
B.Human artists’ influence on AI generators. |
C.Different means used in human and AI art creation. |
D.The drawbacks of drawing from existing art and text. |
A.Art is the mirror of life. | B.Rome is not built in a day. |
C.No man can do two things at once. | D.Don’t judge a book by its cover. |
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【推荐1】In recent times, it has become common for people to “cancel”, “block”, “delete” or “unfollow” each other on social media. It’s especially common when people are discussing political or social issues.
For example, in the US, there has been a lot of debate (辩论) in recent weeks over police’s cruel behavior. I know many people who have “lost” friends and family members online because they disagree with each other’s opinions on these issues. While some people will still try to argue with others, some have found it easier to simply cut off connection with those they disagree with.
I can understand why some people feel this way. I myself have unfollowed many people on social media for different reasons. It’s usually because they have posted ignorant, offensive (冒犯的) or rude things online. When I delete that kind of content from my social media circle, I needn’t see them any more, which makes me feel relieved (安心的) and calm. Also it entirely makes my online experience far less stressful.
On the other hand, I think it’s important for us to hear different views sometimes. When I discuss complicated (复杂的) topics with my friends, I might ask them a question in which I disagree with them and see how they defend their opinion. This teaches me how to defend my own thinking—as well as remind myself that everyone can be wrong about things from time to time.
1. What issue is the author talking about?A.Why it's easy to lose friends on social media. |
B.Why people unfollow each other on social media. |
C.Whether people should discuss political issues online. |
D.Why people are more likely to argue with others online. |
A.connect | B.inform | C.confirm | D.remove |
A.he wants to have fewer friends | B.they don’t agree with his opinion |
C.they post offensive things online | D.he doesn’t accept different viewpoints |
A.sometimes we can learn from disagreements |
B.everyone should have his or her own opinion |
C.we can learn more about ourselves by arguing |
D.we should learn how to win in different debates |
【推荐2】Over the last two decades, humankind has created a vast mobile network enabling people to share information at unprecedented(前所未有的)rates, discovered water on Mars, engineered cars that run on hydrogen(氢), etc. So many achievements have there been, in fact, that most go unnoticed by the general population. It is only when a family member needs a heart transplant that you come to learn about the possibility of someone building a heart for them.
In September, British mathematician Sir Michael Atiyah claimed to have solved the Riemann Hypothesis, a complex mathematical equation(数学方程式)that has puzzled some of the world’s brightest minds for 160 years. ”What is the Riemann Hypothesis and why should I care?“ you ask. Frankly speaking, I don’t understand it, and I don’t think I ever will. But I am sure that its applications for advancement in science and technology will be significant. The fact of the matter is that individuals or teams can spend years or even decades working on maths problems that they may never solve. They do so not only because of the rewards that might be available, but also because it is a worthy goal. Most of the world will not understand what these individuals do, but our lives would be very different if nobody ever sought to challenge themselves and take on crazy projects.
I admire a man named Jiro Ono, owner and chef of arguably the most famous sushi restaurant in Japan. Jiro became a qualified sushi chef in 1951, nearly 70 years ago. Today, at the age of 92, he is still looking for ways to improve upon his craft. Many would think that after doing something for that long, they have nothing else to learn, but Jiro puts that notion to shame. Every day, he stands behind the counter and experiments with food in his pursuit of perfection.
In life, just about every corner you turn, you can find areas to improve upon. Medical researchers look for ways to cure cancer; basketball players practice hard to become the next Michael Jordan; scientists experiment with alternative fuels to help the environment. Most of us have not been tasked with progressing in a certain way yet, but what all of us should be doing is seeking to improve ourselves for the good of ourselves or for the good of others.
1. Why did the author mention Sir Michael Atiyah in Paragraph 2?A.To emphasize that his contribution is unprecedented. |
B.To argue that proving maths problem is profitable. |
C.To identify the essential ingredients that lead to his success. |
D.To prove that we need pioneers like him in today’s world. |
A.An artificial heart isn’t available for one with heart disease. |
B.Jiro Ono considers seeking improvement as a shame. |
C.Everyone should try to impose themselves merely for his own sake. |
D.Michael Atiyah is similar to Jiro Ono in terms of their pursuit. |
A.Proving Riemann Hypothesis | B.The Never-ending Journey |
C.Challenging Ourselves | D.Achieving Success |
阅读下列四篇短文,从每小题后所给的A、B、C、D四个选项中,选出最佳选项,并在答题卡上将该选项涂黑。
Five years ago, David Smith wore an expensive suit to work every day. “I was a clothes addict (迷),” he jokes. “I used to carry a fresh suit to work with me so I could change if my clothes got wrinkled (皱的).” Today David wears casual clothes — khaki pants and a sports shirt — to the office. He hardly ever wears a necktie. “I’m working harder than ever,” David says, “and I need to feel comfortable.”
More and more companies are allowing their office workers to wear casual clothes to work. In the United States, the changes from formal to casual office wear have been slow. In the early 1990s, many companies allowed their workers to wear casual clothes on Friday (but only on Friday).This became known as “dress-down Friday” or “casual Friday”. “What started out as an extra one-day-a-week benefit for workers has really become an everyday thing,” said business adviser Maisly Jones.
Why have so many companies started allowing their workers to wear casual clothes? One reason is that it’s easier for a company to attract new workers if it has a casual dress code. “A lot of young people don’t want to dress up for work,” says the owner of a software company, “so it’s hard to hire people if you have a conservative dress code. (保守的着装要求)” Another reason is that people seem happier and more productive when they are wearing comfortable clothes. In a study made by Levi Strauss and Company, 85 percent of employers said that casual dress has a side effect on work. Supporters of casual office wear also say that a casual dress code helps them save money. “Suits are expensive, if you have to wear one every day,” one person said. “For the same amount of money, you can buy a lot more casual clothes.”
1. David Smith refers to himself as having been “a clothes addict” because ______________.A.he often wore khaki pants and a sports shirt |
B.he couldn’t stand a clean appearance |
C.he wanted his clothes to look tidy and clean all the time |
D.he didn’t want to spend much money on clothes |
A.they make him feel at ease when working |
B.he cannot afford to buy expensive clothes |
C.he looks handsome in casual clothes |
D.he no longer works for any company |
A.Many workers don’t like a conservative dress code. |
B.Comfortable clothes make workers more productive. |
C.A casual clothes code is welcomed by young workers. |
D.All the employers in the U.S. are for casual office wear. |
【推荐1】As AI becomes popular, researchers have noticed its influence on the environment. Training an AI system requires huge computing power and electricity, and the resulting CO2 emissions (排放) are one way AI affects the environment. But its environmental effect is more than its carbon (碳)footprint.
Jesse Dodge, a scientist at the Allen Institute, says, "The influence of Al systems is going to be from their applications, not the cost of training them." David Rolnick, a computer scientist at McGill University, compares AI to a hammer (锤子) “The main effect of a hammer is what is being hammered,” he says, "not what is in the hammer." Just like a hammer which can either destroy things or build a house, Al can hurt or help the environment.
In 2019, ExxonMobil, an oil company, said it would use Microsoft’s app Azure. With the Al technology, it would increase its production and create billions of dollars. This means Microsoft's AI is directly contributing to greenhouse gas emissions. This is not the only AI application that could be environmentally harmful. AI behind the ads that jump out on Instagram or Facebook pages pushes customers to spend more on products like clothes. This in turn causes more emissions through more production and delivery.
But on the other side of the coin, there are AI applications that can help deal with environmental problems, such as the destruction caused by hurricanes. One such application is xView2, a program started by a U. S. organization. It can recognize buildings damaged and people trapped in natural disasters, reducing danger and saving time for rescuers.
AI could be a valuable tool in the fight against climate change—if the Al industry can reduce its harmful climate effects. "Both AI and climate rules have roles to play." Rolnick says. When creating Al rules, he suggests considering its applications, emissions, and other production costs. Further, Dodge adds that those AI professionals should help set up some value systems to limit the technology's use.
1. Where does the effect of AI systems on the environment come from according to Dodge?A.The popularity of AI. | B.The emissions of CO2. |
C.The way of applying AI. | D.The cost of AI training. |
A.By listing numbers. | B.By giving examples. |
C.By comparing facts. | D.By explaining details. |
A.Rules for AI can be helpful. | B.Al's advance should be limited. |
C.Production costs will be lower. | D.AI plays a role in making rules. |
A.AI applications are environmentally harmful. |
B.AI affects the environment by CO2 emissions. |
C.AI is effective in solving environmental problems. |
D.AI's environmental effect goes beyond its emissions. |
【推荐2】Artificial intelligence (AI) still can’t see the future, but a new algorithm (算法) may come close: using nothing but written movie summaries, the AI can consistently tell which films will play well—or awfully—to critics and audiences. If the model can be further improved, it could one day help producers predict whether a movie will be a failure at the box office, before it’s even made.
To test several AI models, researchers used plot summaries of 42,306 movies from all over the world, many collected from Wikipedia. The models broke the summaries by sentence and used something called sentiment (情感) analysis to analyze each one. Sentences considered “positive”, such as “Thor loves his hammer”, would receive a rating closer to positive one. And sentences that were considered “negative”, like “Thor gets in a fight” would be rated closer to negative one.
Generally, successful movies such as 1951’s Alice in Wonderland—which scored 80% on the movie-rating website Rotten Tomatoes—have frequent waves in sentiment; unsuccessful ones, such as 2009’s The Limits of Control, vary less. It’s not important whether the films begin or end happily, the researchers say. What’s important is that the sentiments change frequently.
The sentiment ratings in each summary were then simplified into a single score to reflect how often the sentiment changed. The researchers tested three different methods of arriving at a final score. All three could predict fairly accurately whether a movie would be unpopular, and one method worked especially well for guessing which thrillers and comedies reviewers would hate.
The methods were not as efficient at guessing which movies would succeed, but they still predicted the results more accurately than random chance. In the future, the researchers say their methods could be bettered to predict the amount a movie could earn at the box office and help producers decide which movies to invest in. The system’s fair judgment might give an advantage to less well-known writers the researchers add. It could also potentially save the public from having to sit through films like Jaws: The Revenge, which online critics and audience alike rate as terrible.
1. How can AI help foresee the future of movies?A.By testing plot models. | B.By using sentiment analysis. |
C.By writing summaries. | D.By consulting critics and audiences. |
A.A happy ending. | B.Famous movie stars. |
C.A well-known producer. | D.Frequent sentiment changes. |
A.Increasing box office earnings. |
B.Assessing a movie’s quality accurately. |
C.Providing written summaries for critics. |
D.Helping producers make sensible decisions. |
A.Doubtful. | B.Cautious. | C.Optimistic. | D.Unclear. |
【推荐3】Type (打字) in “A cat wants to go to space” and ask ChatGPT to write a bedtime story. Just one second later, you will get the story of Max, who clawed his way past many difficulties to sing among the stars.
Developed by US company OpenAI, ChatGPT has taken the Internet by storm, winning 100 million users since it came out in November 2022. People can ask the robot to write stories and emails, create recipes (食谱), translate languages, and answer all kinds of questions. In its own words, it is “a language model trained in Internet text to help users get human-like text.”
Compared with Siri or other chat robots , ChatGPT uses a much bigger database (数据库) for training. It also uses stronger software and hardware to learn things by itself. For example, if it provides a wrong answer to your question, you can tell it the right one and it will make corrections. “It’s a totally different product,” computer scientist Liu Xiaoguang from Nankai University said. “The knowledge level ChatGPT shows is equal to an undergraduate (本科生) student. That is why it shocked the world.”
But one big problem with ChatGPT is that it makes mistakes or even gives fake (虚假的) information. When Rezza, a 28-year-old from Indonesia, used the robot to write an essay, it “gave out nonexistent academic citations (不存在的学术引用),” he told The Guardian. Since the robot is trained using words from the Internet, it can also pick up on the Internet’s biases (偏见) about certain groups. These are all things that need to be dealt with.
1. The cat story was written to _____.A.introduce a cat that wants to go to space |
B.introduce a series of bedtime books |
C.show how robots create stories |
D.show what creative work ChatGPT can do |
A.Make dishes. | B.Sing songs. | C.Translate texts. | D.Create new languages. |
a. It can learn things by itself.
b. It has a big database for training.
c. It won’t give people wrong answers.
d. It is smarter than any undergraduate student.
A.ab | B.ac | C.bc | D.bd |
A.Some of its young users cannot use it correctly. |
B.Its creator doesn’t know all the answers. |
C.It may pick up wrong information on the Internet. |
D.It likes fake information more. |