【推荐1】It seems no one can really agree on the question of “What’s so funny?” So imagine trying to teach a robot how to laugh. But that’s exactly what a team of researchers at Kyoto University in Japan are trying to design an AI that takes its cues through a shared laughter system. The scientists describe their innovative approach to building a funny bone for the Japanese android ‘Erica’ in the latest issue of the journal Frontiers in Robotics and AI.

“We think that one of the important functions of conversational AI is empathy(移情，共鸣)，”explained lead author Dr Koji Inoue, an assistant professor at Kyoto University in the Department of Intelligence Science and Technology within the Graduate School of Informatics. “One way a robot can empathize with users is to share their laughter.”

In the shared-laughter model, a human initially laughs and the Al system responds with laughter as an empathetic response. This approach required designing three subsystems-one to detect laughter, a second to decide whether to laugh, and a third to choose the type of appropriate laughter. The type of laughter is also important, because in some cases a polite chuckle may be more appropriate than a loud snort of laughter.

The team tested Erica’s new sense of humor by creating four different short dialogues between a person and Erica with her new shared-laughter system. Then they asked more than 130 people in total to listen to each dialogue within the three different conditions- shared-laughter system, no laughter, all laughter- and evaluated the interactions based on human-likeness, naturalness and understanding. The shared-laughter system performed better than either baseline.

“Robots should actually have a distinct character, and we think that they can show this through their conversational behaviors, such as laughing, eye gaze, gestures and speaking style,” Inoue added. “We do not think this is an easy problem at all, and it may well take more than 10 to 20 years before we can finally have a casual chat with a robot like we would with a friend.”

【推荐2】Why can’t penguins fly?

Even the very smallest penguin,the fairy penguin,weighs 1 kg,which is about as much as a herring gull (银鸥). But herring gulls have a 1.4-meterwingspan,compared with just 32 centimeters for the fairy penguin. Water is 784 times denser (密度较大的) than air,and around 62 million years ago,penguins began making adaptations for swimming underwater. Their bones are filled with heavy bone marrow (骨髓)rather than air and they have much larger stomachs for making long fishing trips away from the nest.

How do squirrels find buried nuts?

It was once thought that they just used their noses to sniff out buried nuts and that the majority were never actually located. But a study at Princeton University showed that squirrels actually have a good memory and can build a map of the route from one hidden nut to the next.

Why don’t horses have toes?

Early horses such as Hyracotherium, which lived 55 million years ago, did have toes, but they were much smaller animals. For taller animals, extra weight at the end of their legs has a much bigger influence on their speed. A recent study at Harvard University, the USA, found that one broad hoof (蹄) is almost as strong as many smaller toes, but much lighter.

Do animals have blood types?

Yes, they do! As long as the animals in question have blood (not all do)then they will have species-specific “blood groups”. As with humans, these groups are determined by the structure of the blood based on the presence or absence of antibodies along with the make-up of the proteins that sit on the outside of red blood cells.

Humans are usually one of four main blood types. Thirteen types have been identified for dogs, eight for horses and three for cats.

【推荐3】Some people never read any books again and feel that since they already know the outcome, there is nothing to be gained by rereading. I have to dissent.

I am reminded of a professor in college, who always had us read our assignments twice. “The first time, read fast and for fun,” he said. “The second time, look for delicate distinctions and small differences in meaning.” His suggestion works great for me.

When I have a new book, I read fast, eager to discover the resolution. Then if I like the book, I will read it again. Not right away, but a few months later, possibly on a rainy Sunday afternoon, I will grab the book and settle down to discover the small details. I will read more slowly the second time, appreciating the descriptions and looking forward to my favorite sections, enjoying the anticipation. Knowing those favorite passages are coming does not spoil anything. I’m looking forward to revisiting those treasured places in the book. Knowing they are coming heightens my enjoyment.

Rereading a book gives me a chance to appreciate the small things an author integrates into her story. A turn of a character’s head, a thought in the night, a sigh, these are the things that give insights into a book and the characters. I love dissecting (剖析) a story the second time around, looking for clues that give the tale a deep meaning. Reading is like revisiting a friend, familiar, yet always with something more inside.

What have I been reading lately? The Merlin Trilogy by Mary Stewart. These books rank among my all-time favorite rereads. Set in Britain in roughly the second half of the 5th century CE, they were Mary Stewart’s take on the familiar King Arthur stories. If you are unfamiliar with them, I highly recommend all three books, especially if you love fantasy and historical fiction.

【推荐3】As many as 300 million full-time jobs around the world could be automated in some way by the newest wave of artificial intelligence that has made platforms like ChatGPT, according to Goldman Sachs economists.

They predicted in a report Sunday that 18% of work globally could be computerized, with the effects caused more deeply in advanced economies than emerging markets. That’s partly because white-collar workers are seen to be more at risk than manual laborers. Administrative workers and lawyers are expected to be most affected, the economists said, compared to the “little effect” seen on physically demanding or outdoor occupations, such as construction and repair work.

In the United States and Europe, about two-thirds of current jobs “are exposed to some degree of AI automation”, and up to a quarter of all work could be done by AI completely, the bank estimates.

Further use of such Al will likely lead to job losses, the Goldman Sachs economists wrote. But they noted that technological innovation that initially displaces workers has historically also created employment growth in the long run.

While workplaces may shift, widespread adoption of Al could ultimately increase labor productivity—and boost global GDP by 7% annually over a 10-year period, according to Goldman Sachs economists.

“Although the impact of AI on the labor market is likely to be significant, most jobs and industries are only partially exposed to automation and are thus more likely to be complemented rather than replaced by AI,” the economists added. “Most workers are employed in occupations that are partially exposed to AI automation and, following AI adoption, will likely apply at least some of their freed-up capacity toward productive activities that increase output.”

Of US workers expected to be affected, for instance, 25% to 50% of their workload “can be replaced,” the researchers added. “The combination of significant labor cost savings, new job creation, and a productivity boost for non-displaced workers raises the possibility of a labor productivity boom like those that followed the emergence of earlier general-purpose technologies like the electric motor and personal computer.”