A.The man’s failure in final exams. | B.The man’s career prospects. |
C.The woman’s new employment. | D.The woman’s personal story. |
A.He had too few interviews because of heavy coursework. |
B.He rejected the company because he disliked the boss. |
C.He had waited for a month before receiving the offer. |
D.He was rejected by the company and felt depressed. |
A.The man should read the job ads carefully. |
B.The man should ask his senior friends for help. |
C.The man should try to sell the products himself. |
D.The man should explore the employer’s business fully. |
A.Memorizing financial knowledge. | B.Solving a business challenge. |
C.Presenting his personal qualities. | D.Arriving early at the interview. |
3 . Imagine this. You need an image of a balloon for a work presentation and turn to an AI text-to- image generator, like Midjourney or DALL-E, to create a suitable image. You enter the prompt (提示词) “red balloon against a blue sky” but the generator returns an image of an egg instead.
What’s going on? The generator you’re using may have been “poisoned”. What does this mean? Text-to-image generators work by being trained on large datasets that include millions or billions of images. Some of the generators have been trained by indiscriminately scraping online images, many of which may be under copyright. This has led to many copyright infringement (侵害) cases where artists have accused big tech companies of stealing and profiting from their work.
This is also where the idea of “poison” comes in. Researchers who want to empower individual artists have recently created a tool named “Nightshade” to fight back against unauthorised image scraping. The tool works by slightly altering an image’s pixels (像素) in a way that confuses the computer vision system but leaves the image unaltered to a human’s eyes. If an organization then scrapes one of these images to train a future AI model, its data pool becomes “poisoned”. This can result in mistaken learning, which makes the generator return unintended results. As in our earlier example, a balloon might become an egg.
The higher the number of “poisoned” images in the training data, the greater the impact. Because of how generative AI works, the damage from “poisoned” images also affects related prompt keywords. For example, if a “poisoned” image of a Picasso work is used in training data, prompt results for masterpieces from other artists can also be affected.
Possibly, tools like Nightshade can be abused by some users to intentionally upload “poisoned” images in order to confuse AI generators. But the Nightshade’s developer hopes the tool will make big tech companies more respectful of copyright. It does challenge a common belief among computer scientists that data found online can be used for any purpose they see fit.
Human rights activists, for example, have been concerned for some time about the indiscriminate use of machine vision in wider society. This concern is particularly serious concerning facial recognition. There is a clear connection between facial recognition cases and data poisoning, as both relate to larger questions around technological governance. It may be better to see data poisoning as an innovative solution to the denial of some fundamental human rights.
1. The underlined word “scraping” (para. 2) is closest in meaning to ____.A.facilitating | B.collecting | C.damaging | D.polishing |
A.increase the accuracy of returned information |
B.cause users to forget the prompt key words |
C.interfere with the training of generative AI |
D.discriminate against great masterpieces |
A.Data poisoning is somehow justified to direct attention to human rights. |
B.Computer scientists has learned to respect the copyright of most artists. |
C.Nightshade is being abused by human rights activists to recognize faces. |
D.The issue of technological governance has aroused the lawyers’ interest. |
A.Data Poisoning: Government Empowering Citizens to Protect Themselves |
B.Data Poisoning: Addressing Facial Recognition Issues Among Artists |
C.Data Poisoning: Risks and Rewards of Generative AI Data Training |
D.Data Poisoning: Restricting Innovation or Empowering Artists |
A.It was developed independently by Edward Chang. |
B.It is the most accurate AI-based translation system. |
C.It can show people’s thoughts on computer screens. |
D.It can turn people’s words into powerful brain waves. |
A.It doesn’t require a surgery. | B.Its results are more accurate. |
C.It is much smaller in size. | D.It isn’t so expensive. |
A.New discoveries in brain networks. |
B.New researches on computer science. |
C.New devices in AI language translation. |
D.New developments in mind-reading technology. |
1. 介绍一下你在报纸上看到的内容;
2. 自己针对此事的态度以及理由。
注,自动扶梯escalator
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6 . New research confirms that human footprints found in New Mexico are probably the oldest direct evidence of human presence in the Americas, a finding that upends what many scientists knew about human habitation and migration (迁徙).
The footprints were discovered at the edge of an ancient lakebed in White Sands national park. According to the new paper published in the journal Science, they date back to between 21,000 and 23,000 years ago. Actually, the estimated age of the footprints was first reported in Science in 2021, but some researchers raised concerns about the dates. Questions focused on whether seeds of water plants used for the original dating may have absorbed ancient carbon from the lake — which could, in theory, throw off radiocarbon dating by thousands of years. But the new study presents two additional lines of evidence for the older date range. It uses two entirely different materials found at the site, ancient pollen (花粉) and stone grains.
The reported age of the footprints challenges the once conventional wisdom that humans did not reach the Americas until a few thousand years before rising sea levels covered the Bering land bridge between Russia and Alaska, perhaps about 15, 000 years ago. “This is a subject that's always been controversial because it's so significant. It's about how we understand the last chapter of the peopling of the world,” said Thomas Urban, an archaeologist (考古学家) at Comell University, who was involved in the 2021 study but not the new one.
Thomas Stafford, an independent archaeological geologist in New Mexico, who was not involved in the study, said he “was a bit suspicious before” but now is convinced. The new study isolated about 75, 000 grams of pure pollen from the same stone layer that contained the footprints. ‘Dating pollen is laborious but worthwhile,” said Kathleen Springer, a research geologist at the US Geological Survey and a co-author of the new paper.
Ancient footprints of any kind can provide archaeologists with a quick look of a moment in time. While some archeological sites in the Americas point to similar date ranges — including necklaces carved from giant animal remains in Brazil — scientists still question whether such objects really indicate human presence. “White Sands is unique because there's no question these footprints were left by people,” said Jennifer Raff, a scientist at the University of Kansas, who was not involved in the study.
1. The underlined word “upends” (paragraph 1) is closest in meaning to “_______”.
A.comprises | B.connects | C.challenges | D.compares |
A.It shows the footprints were made by the Russians. |
B.It offers more convincing lines of evidence for dating. |
C.It confirms that the ancient humans enjoyed living by the lake. |
D.It reveals the footprints are much younger than previously thought. |
A.necklaces are valuable objects for archaeologists to date animals |
B.human footprints are often sure signs of human presence |
C.ancient objects in Brazil are excluded from the study |
D.White Sands is one important archaeological site |
A.Scientists Discovers New Species of Humans in Americas |
B.Humans Reached Americas 15, 000 Years Earlier Than Believed |
C.American Archaeologists Unearthed Valuable Manmade Objects |
D.New Research Confirms Early Human Presence in Americas |
Seeing Math on the Page
Math and literature are probably two of the subjects that bring students headaches. However, scientists wonder
‘Three’ is the minimum number
Why is it always the third son who behaves differently from his two older brothers, thus
Similarly, another study by researchers at the University of Vermont also connected math and storytelling. They analyzed more than 1, 300 fiction books and arranged for 10, 000 words from the books
“The idea that one would
A. express B. concerns C. accompaniment D. rise E. approaching F. specific G. portions H. remain I. growing J. obviously K. particularly |
Exploring the growth of plant-based dairy
Plant-based milk is the largest plant-based group in North America. It grew five per cent last year, with sales of plant-based dairy products
There are many reasons for the popularity of plant-based milks. As well as a(n)
The range of plant-based milks also allows for consumers to
While dairy milk has long been seen as a drink or a meal
Globally soy milk products
A.Because the manager asked him to do so. |
B.Because the elderly were respected in his hometown culture. |
C.Because the couple wanted him to do so. |
D.Because he wanted more pay. |
A.He lost his job in the restaurant. |
B.He made friends with the couple. |
C.He no longer respected the elderly. |
D.He changed his way with older people. |
A.The more the speaker explained, the angrier the couple got. |
B.The manager went back to the table and apologized to the couple. |
C.From this experience, the speaker learned more about American culture. |
D.The speaker wanted to show his feelings through words after his experience. |