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Nobody really knows how big Lagos is. What's indisputable is that it's growing very quickly. Between now and 2050, the urban population of Africa could triple. Yet cities in sub-Saharan Africa are not getting richer the way cities in the rest of the world have. Most urban Africans live in slums (贫民窟); migrants are often not much better off than they were in the countryside. Why? The immediate problem is poverty. Most of Africa is urbanizing at a lower level of income than other regions of the world did. That means there's little money around for investment that would make cities livable and more productive. Without upgrades and new capacity, bridges, roads and power systems are unable to cope with expanding populations. With the exception of South Africa, the only light rail metro system in sub-Saharan Africa is in Addis Ababa, Ethiopia. Traffic jam leads to expense and unpredictability, things that keep investors away. In other parts of the world, increasing agricultural productivity and industrialization went together. More productive farmers meant there was a surplus that could feed cities; in turn, that created a pool of labor for factories. But African cities are different. They are too often built around consuming natural resources. Government is concentrated in capitals, so is the money. Most urban Africans work for a small minority of the rich, who tend to be involved in either cronvish (有裙带关系的) businesses or politics. Since African agriculture is still broadly unproductive, food is imported, consuming a portion of revenue. So what can be done? Though African countries are poor, not all African cities are. In Lagos, foreign oil workers can pay as much as $65,000 per year in rent for a modest apartment in a safe part of town. If that income were better taxed, it might provide the revenue for better infrastructure. If city leaders were more accountable to their residents, they might favor projects designed to help them more. Yet even as new roads are built, new people arrive. When a city's population grows by 5% a year, it is difficult to keep up.【缺少答案，请补充】

What do we learn from the passage about cities in sub-Saharan Africa?

What does the author imply about urbanization in other parts of the world?

Why is sub-Saharan Africa unappealing to investors?

Since American idol star Taryn Southern started composing music with AI in 2017, musicians all over the world have begun wondering about the implications of AI and modern technology where music production is concerned. Using AI in the creation of music is perceived by some as a helpful tool and by others as almost "the beginning of the end". In Taryn's case, AI software enabled her to communicate melodies and chords that she didn't know how to put together herself. The end product was therefore a collaborative effort, rather than a piece entirely produced by technology. Taryn's story has a distinctly positive feel that highlights the advantages of using AI in music production. It can serve as a source of inspiration, and as an ideal jumping-off point should a musician be hit with writer's block (文思枯竭). Contrary to seeing AI as a tool, some musicians consider it to be hugely detrimental to the music scene. At the moment, because such technology is still so young, the music it's producing is not necessarily what we want to hear. In short, it's not of great quality. Those who have produced their own music, or even fans of authentic, artistic music, will also argue that a computer could never emulate the work (and human touch) of a true musician. Music has been an integral part of the story of humans for ages; in fact, the first known piece of music is believed to be around 3,400 years old. Songs have long been used as a means of communicating messages and folk stories, covering everything from societal ethics to world history. Since many people see music as such an inherently human expression, it is often considered as too precious to impart to technology. The thought of a computer generating a "random" piece of music that hasn't been painstakingly created by an artist is almost seen as sacrilegious (亵渎神圣的). Regardless of which side of the argument you fall on, it seems likely that the use of AI in music production will only become more frequent. Our modern world is preoccupied with technological advancements. Instead of shying away from the idea of this bleak future, the best approach to take is one of optimism and curiosity. While there are always bound to be stubborn old-school musicians who refuse to use tech, music producers should consider AI as something to be embraced. AI music software is still very much in its infancy, but with more investors interested in the development and outcomes of such technology, and considering the rapid【缺少答案，请补充】

How do some musicians perceive using AI in creating music?

What does Taryn Southern's story illustrate?

Why are some musicians opposed to the use of AI in creating music?

Why do many people think music is too precious to impart to AI technology?

What does the author think of the future of AI music?

Professor Ashok Goel of Georgia Tech developed an artificially intelligent teaching assistant to help handle the enormous number of student questions in the online class, Knowledge-Based Artificial Intelligence. This online course is a core requirement of Georgia Tech's online Master of Science in Computer Science program. Professor Goel already had eight teaching assistants, but that wasn't enough to deal with the overwhelming number of daily questions from students. Many students drop out of online courses because of the lack of teaching support. When students feel isolated or confused and reach out with questions that go unanswered, their motivation to continue begins to fade. Professor Goel decided to do something to remedy this situation and his solution was to create a virtual assistant named Jill Watson, which is based on the IBM Watson platform. Goel and his team developed several versions of Jill Watson before releasing her to the online forums. At first, the virtual assistant wasn't too great. But Goel and his team sourced the online discussion forum to find all the 40,000 questions that had ever been asked since the class was launched. Then they began to feed Jill with the questions and answers. After some adjustment and sufficient time, Jill was able to answer the students' questions correctly 97% of the time. The virtual assistant became so advanced and realistic that the students didn't know she was a computer. The students, who were studying artificial intelligence, were interacting with the virtual assistant and couldn't tell it apart from a real human being. Goel didn't inform them about Jill's true identity until April 26. The students were actually very positive about the experience. The goal of Professor Goel's virtual assistant next year is to take over answering 40% of all the questions posed by students on the online forum. The name Jill Watson will, of course, change to something else next semester. Professor Goel has a much rosier outlook on the future of artificial intelligence than, say, Elon Musk, Stephen Hawking, Bill Gates or Steve Wozniak.【缺少答案，请补充】

What do we learn about Knowledge-Based Artificial Intelligence?

What problem did Professor Goel meet with?

What do we learn about Jill Watson?

How did the students feel about Jill Watson?

What does Professor Goel plan to do next with Jill Watson?

What does the author say about Japan?

What do we learn about the robot Terapio?

What are telepresence robots designed to do?

What is one special feature of the robot Actroid F?