Many children first learn the value of money by receiving an allowance. The purpose is to let children learn from experience at an age when financial mistakes are not very costly.

    The amount of money that parents give to their children to spend as they wish differs from family to family. Timing is another consideration. Some children get a weekly allowance. Others get a monthly allowance.

    In any case, parents should make clear what, if anything, the child is expected to pay for with the money.

    At first, young children may spend all of their allowance soon after they receive it. If they do this, they will learn the hard way that spending must be done within a budget. Parents are usually advised not to offer more money until the next allowance. The object is to show young people that a budget demands choices between spending and saving. Older children may be responsible enough to save money for larger costs, like clothing or electronics.

    Allowances give children a chance to experience the things they can do with money. They can share it in the form of gifts or giving to a good cause. They can spend it by buying things they want. Or they can save and maybe even invest (投资) it.

    Saving helps children understand that costly goals require sacrifice: you have to cut costs and plan for the future. Requiring children to save part of their allowance can also open the door to future saving and investing. Many banks offer services to help children and teenagers learn about personal finance. A savings account is an excellent way to learn about the power of compound interest (利息). That may not seem like a lot. But over time it adds up.

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Your next car could have two seats, three wheels—two in front and one in the back and a top speed of more than 100 miles per hour. Elio Motors plans to make such a tiny car named the Elio. Its two seats sit front and back instead of side by side. The driver is positioned in the center with the passenger directly behind.

    The starting price for the car is just $6,800. It has only one door, on the left side, which cuts a few hundred dollars off the manufacturing costs. Having three wheels also makes it cheaper. It has air conditioning, power windows and door locks and an AM/FM radio. More features can be ordered through Elio's long list of suppliers. Elio will also sell the cars directly through its own stores and not through franchised dealers (特约经销商).

    Paul Elio dreamed as a kid that he would one day own a car company called Elio Motors. In 2008, tired of high gas prices, he started working on a car that burns gas in a more effective way. Equally important to him was creating U.S. manufacturing jobs and making the car inexpensive enough to attract buyers who might otherwise be stuck in their old, unreliable (不可靠的)cars. “Whatever matters to you, this can move the needle on it,” he said.

    Already, more than 27,000 people have reserved (预订)one. Paul hopes to make 250,000 cars a year by 2016. So far, reservation holders are those who will use the Elio as a second car or third car for work. Finally, though, he believes the car will interest high school and college students as well as used-car drivers who want something newer and more reliable.

    The online economy—from search to email to social media—is built in large part on the fact that consumers are willing to give away their data in exchange for products that are free and easy to use. The assumption behind this trade-off is that without giving up all that data, those products either couldn't be so good or would have to come at a cost.

    But a new working paper, released this week by Lesley Chiou of Occidental College and Catherine Tucker of MIT, suggests that the trade-off may not always be necessary. By studying the effects of privacy regulations in the EU, they attempted to measure whether the anonymization(匿名化) of search data hurts the quality of search results.

    Most search engines capture user data, including IP addresses and other data that can identify a user across multiple visits. This data allows them search companies to improve their algorithms(算法) and to personalize results for the user. At least, that's the idea. To determine whether storage of users' personal data improves search results, Chiou and Tucker looked at how search results from Bring and Yahoo differed before and after changes in the European Commission's rules on data retention(数据保存). In 2008 the Commission recommended that search engines reduce the period over which search engines kept user records. In response, Yahoo decided to strengthen its privacy policy by anonymizing user data after 90 days. In 2010 Microsoft changed its policy, and began deleting IP addresses associated with searches on Bring after six months and all data points intended to identify a user across visits after 18 months. In 2011 Yahoo changed its policy again, this time deciding to store personal data longer—for 18 months rather than 90 days—allowing the researchers yet another chance to measure how changes in data storage affected search results.

    The researchers then looked at data from UK residents' web history before and after the changes. To measure search quality, they looked at the number of repeated searches, a signal of dissatisfaction with search results. In all three cases, they found no statistically significant effect on search result quality following changes in data retention policy. In other words, the decision to anonymize the data didn't appear to impair the search experience. “Our results suggest that the costs of privacy may be lower than currently perceived,” the authors write, though they note that previous studies have come to different conclusions.

    Every day, we are moving closer to some kind of artificial intelligence(人工智能). Progress in big data, machine learning and robotics are going to give us a world where computers are effectively intelligent in terms of how we deal with them. Should you be scared by this? Absolutely, but not in the usual “robot overlords” (机器人帝国) kind of way. Instead, the real fear should be about getting human beings wrong, not getting AI right.

    The key to the technology is the ability of computers to recognize human emotions based on the ''activation” of muscles in the face. A computer can identify the positions of facial muscles and use them to infer the emotional state of its user. Then the machine responds in ways that take that emotional state into account.

    One potential application of it is to provide “emotional robots” for the elderly. Having a machine that could speak in a kind way would comfort a lonely older person. That is a good thing, right? But that won't also relieve us from questioning how we ended up in a society that takes care of the elderly because we don't know what else to do with them? Can't we have more humane solutions than robots?

    “Emotion data” aren't the same thing as the real and vivid emotional experiences we human beings have. Our emotions are more than our faces or voices. How can they be pulled out like a thread, one by one, from the fabric(组织) of our being?

    Research programs can come with much philosophical(哲学的) concern, too. From the computers' point of view, what the computing technology captures are emotions, but at its root is a reduction of human experience whose outward expressions can be captured algorithmically (计算上). As the technology is used in the world, it can reframe the world in ways that can be hard to escape from.

    The technology will clearly have useful applications, but once it treats emotions as data, we may find that it is the only aspect of emotion we come to recognize or value. Once billions of dollars floods into this field, we will find ourselves trapped in a technology that is reducing our lives. Even worse, our “emotion data” will be used against us to make money for someone else. And that is what scares me about AI.

Floods are common and {#blank#}1{#/blank#}(frequent) destructive natural events that annually affect around 250 million people worldwide. Though the causes of floods --usually heavy rainfall or melting snow-- are {#blank#}2{#/blank#}(avoidable), knowledge of the correct procedures before, during and after a flood can make a difference. 

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During a flood, it's important to leave {#blank#}6{#/blank#} you are immediately. The longer you stay, the more danger you'll be in. Be sure to move to higher ground. If you're already inside a building, move to the upper floor. Don't walk {#blank#}7{#/blank#}drive through the moving floodwater, since as little as 15 centimetres of moving water is enough to knock an adult down, and 60 centimetres can wash most cars away.

{#blank#}8{#/blank#} a flood, listen for official news reports to find out when it's safe to return to your home. As you return home, watch out for possible {#blank#}9{#/blank#}(danger). The flood may have damaged roads and power lines. Keep away from the floodwater, because it may {#blank#}10{#/blank#}(pollute) and unsafe to touch.