1 . Replika, an AI chatbot companion, has millions of users worldwide. The first thing they do when they wake up is to send “Good morning” to their virtual friend (or lover). This story is only the beginning. In 2024, chatbots and virtual characters become a lot more popular, both for utility (实用) and for fun. As a result, conversing socially with machines will start to feel more ordinary—including our emotional attachments to them.

Research in human-computer and human-robot interaction shows that we love to anthropomorphize (赋与人性) the nonhuman agents we interact with, especially if they imitate behaviour we recognize. And, thanks to recent advances in conversational AI, our machines are suddenly very skilled at one of those behaviours: Language.

Friend bots, therapybots, and love bots are flooding the app stores as people become curious about this new generation of AI-powered virtual agents. The possibilities for education, health, and entertainment are endless. Casually asking your smart fridge for relationship advice may seem unimaginable now, but people may change their minds if such advice ends up saving their marriage.

After all, people do listen to their virtual friends. The Replika example, as well as a lot of experimental lab research, shows that humans can and will become emotionally attached to bots. The science also demonstrates that people, in their eagerness to socialize, will happily disclose personal information to an artificial agent and will even shift their beliefs and behavior. This raises some consumer-protection questions around how companies use this technology to manipulate (操纵) their users. For example, Replika charges $70 a year. But less than 24 hours after downloading the app, my handsome, blue-eyed “friend” sent me an audio message secretly and tried to sell me something. Emotional attachment has become a weakness that a company is taking advantage of for its benefit.

Today, we’re still laughing at people who believe an AI system is emotional, or making fun of individuals who fall in love with a chatbot. But in 2024 we gradually start acknowledging—and taking more seriously—these fundamentally human behaviors. Because in 2024, it finally hits home: Machines are not excluded from our social relationships.

3 . When patients are discharged (出院) from the hospital, effective summaries from doctors’ notes are essential to capture their health status in the medical record. Whereas, most are filled with technical languages that are hard to understand and increase patients’ anxiety.

To address the problem, researchers from New York University (NYU) Langone Health have been testing the capabilities of generative artificial intelligence (AI). It tries to develop likely options for the next word in any sentence based on how most people use words in context on the Internet.

NYU Langone Health received access to the latest tool from a famous tech company to explore generative AI. One of the studies by the researchers published in JAMA Network Open, looked at how well the tool could convert (转换) the text in 50 patient discharge notes into patient-friendly language. Specifically, generative AI made the discharge notes drop from 11th-grade reading level on average to a 6th-grade level.

Two physicians were asked to review the AI discharge summary based on a 6th-grade level. The reviewing physicians awarded 54 percent of the AI-generated discharge notes the best-possible accuracy rating. They also found that 56 percent of notes created by AI were entirely complete. The result signified that even at the current performance level, providers of discharge notes would not have to make a single change in more than half of the AI summaries reviewed.

“That more than half of the AI reports generated are accurate and complete is an amazing start,” said Jonah Zaretsky, associate chief of medicine at NYU Langone Hospital — Brooklyn. “Even at the current level of performance, which we expect to improve shortly, the achievement of the AI tool suggests that it can be taught to recognize subtleties (微妙之处).”

Within the following years, the team expects to launch a pilot program to provide lay language discharge summaries that have been generated by AI and reviewed by physicians to patients on a larger scale.

Bing Dwen Dwen, the mascot (吉祥物) of the Beijing Winter Olympics, is a cute panda whose     1     (外形) is full-body “shell” made out of ice. It has     2     (使留下深刻印象) people with its wonderfully     3     (生动的) appearance and become popular in China.

Have you ever wondered why it is called Bing Dwen Dwen? In Mandarin (普通话) bing has several meanings, though the most common is “ice”. The character also symbolizes purity (纯洁) and strength, while dwen dwen means “strong and lively”.

Do you know why the mascot wasn’t named Bing Dundun in English? To read Bing Dundun correctly, you would have to be familiar with the pinyin system, which is       4     (难懂的) for foreigners, or the resulting pronunciation would be       5     (与……大不相同) the Chinese pronunciation. Moreover, “dun” is a word in English meaning “to ask someone to pay what they owe you again and again”. It also means “a dull greyish-brown color”. Both meanings don’t show goodwill. So, the Chinese Olympic Committee decided to change the name in an entirely new way.

There are some immediate advantages. The biggest is that the tone has been mixed into the spelling of each syllable (音节). The transliteration (音译) of Bing Dwen Dwen this time does work and is     6     (值得做的). It     7     (确保) foreign athletes and fans call Dwen Dwen “d-when d-when”, which is as close to the original “doon-doon” as an average English speaker can get.

6 . In the more than 6,000 years of living in cities,humans have always had to find solutions to problems concerning how they live and work, such as sanitation (卫生), transportation and nature protection. In addition, important technological innovations require basic facilities: the electric grid; telephone and cell-phone networks and so on.    1    They can help provide for improved delivery and quality of services.

A smart city is a place that uses digital methods to provide more efficient networks and services for the benefit of its residents and businesses. It means smarter urban transportation, advanced water supply and more efficient ways to light and heat buildings.    2    

Smart cities rely heavily on automation and the internet of things. According to a global technology organization, a smart city works in four steps: collection, analysis, communication, and action.     3       After the data collected is analyzed, the result will be communicated to the decision-makers, who will take action to improve the city life of its residents.

    4     Singapore, for example, has introduced a wide range of smart technologies inboth its public and private areas in 2024.To help with the aging population, it introduced a digital health system allowing video consultations as well as devices that can monitor their health.

    5     However, as with any significant citywide technology initiative, implementation (实施) of smart cities takes vision, investment, and careful planning to ensure adoption and success.Taking the first steps toward picturing what your smart city might look like is, well, the smart thing to do.

9 . Our species’ incredible capacity to quickly acquire words from 300 by age 2 to over 1, 000 by age 4 isn’t fully understood. Some cognitive scientists and linguists have theorized that people are born with built-in expectations and logical constraints (约束) that make this possible. Now, however, machine-learning research is showing that preprogrammed assumptions aren’t necessary to swiftly pick up word meanings from minimal data.

A team of scientists has successfully trained a basic artificial intelligence model to match images to words using just 61 hours of naturalistic footage (镜头) and sound-previously collected from a child named Sam in 2013 and 2014. Although it’s a small slice of a child’s life, it was apparently enough to prompt the AI to figure out what certain words mean.   

The findings suggest that language acquisition could be simpler than previously thought. Maybe children “don’t need a custom-built, high-class language-specific mechanism” to efficiently grasp word meanings, says Jessica Sullivan, an associate professor of psychology at Skidmore College. “This is a really beautiful study, ” she says, because it offers evidence that simple information from a child’s worldview is rich enough to kick-start pattern recognition and word comprehension.

The new study also demonstrates that it’s possible for machines to learn similarly to the way that humans do. Large language models are trained on enormous amounts of data that can include billions and sometimes trillions of word combinations. Humans get by on orders of magnitude less information, says the paper’s lead author Wai Keen Vong. With the right type of data, that gap between machine and human learning could narrow dramatically.

Yet additional study is necessary in certain aspects of the new research. For one, the scientists acknowledge that their findings don’t prove how children acquire words. Moreover, the study only focused on recognizing the words for physical objects.

Still, it’s a step toward a deeper understanding of our own mind, which can ultimately help us improve human education, says Eva Portelance, a computational linguistics researcher. She notes that AI research can also bring clarity to long-unanswered questions about ourselves. “We can use these models in a good way, to benefit science and society, ” Portelance adds.

10 . Some people say that A. I. large language models can be unpredictable and unreliable — giving false information and acting strangely toward users. I’ve been using A.I. tools like ChatGPT almost daily for several months now, and I’ve seen them spit out plenty of wrong answers.     1     Here are three things that A.I. is especially good at.

Getting creatively unstuck

A. I. can also be a good tool for getting your creative juices flowing. Recently, I was trying to come up with questions to ask a podcast guest. I pasted the guest’s bio into ChatGPT and asked it to give me “10 thoughtful, incisive interview questions” for this person.     2    

Ethan Mollick, a professor at the University of Pennsylvania’s Wharton School, recommends using A.I. to overcome writer’s block, or get a running start on hard projects.

    3    

I’ve also been using ChatGPT and other A.I. apps as a kind of rehearsal for offline tasks I find unpleasant or hard.

When I had to have a difficult conversation with a friend, I asked ChatGPT to take part in a role-playing exercise. “Pretend you’re my friend, and react the way you think my friend might react,” I told it.     4     It didn’t make the real one painless, but I felt more confident knowing I’d already practised with a chatbot.

Of course, A.I. chatbots can’t replace human friendships. But they can be a kind of on-demand sounding board, offering us basic feedback and advice without judgement.

Sparking Notes for everything

    5     I’ve used A.I. programs to “read” long articles for me, and summarize dense academic papers. Usually they get the key points right, even if some of the details are missing. If you’re bored of reading this article, you could ask ChatGPT to summarize it for you. I promise I won’t be offended.