1 . Facing AI extinction

In a recent White House press conference, press secretary Karine Jean-Pierre couldn’t suppress her laughter at the question: Is it “crazy” to worry that “literally everyone on Earth will die” due to artificial intelligence? _________, the answer is no.

While AI pioneer such as Alan Turing cautioned that we should expect “machines to take control”, many contemporary researchers _________ this concern. In an area of unprecedented growth in AI abilities, why aren’t more expects weighing in?

Before the deep-learning revolution in 2012, I didn’t think human-level AI would emerge in my lifetime. I was familiar with arguments that AI systems would insatiably seek power and resist shutdown — and obvious _________ to humanity if it were to occur. But I also figured researchers must have good reasons not to be worried about human _________ risk (x-risk) from AI.

Yet after 10 years in the field, I believe the main reasons are actually cultural and historical. By 2012, after several hype cycles that didn’t pan out, most AI researchers had stopped asking ‘what if we succeed at replicating human intelligence’, _________ their ambitions to specific tasks like autonomous driving.

When concerns resurfaced outside their community, researchers were to quick to dismiss outsiders as _________ and their worries as science fiction. But in my experience, AI researchers are themselves often ignorant of arguments for AI x-risk.

One basic argument is by analogy: humans’ _________ abilities allowed us to out-compete other species for resources, leading to many extinctions. AI systems could likewise deprive us of the resources we need for our survival. Less _________, AI could displace humans economically and, through its powers of manipulation, politically.

But wouldn’t it be humans wielding AIs as tools who end up in control? Not necessarily. Many people might choose to deploy a system with a 99 per cent chance of making them phenomenally rich and powerful, even if it had a 1 per cent chance of _________ their control and killing everyone.

Because no safe experiment can definitively tell us whether an AI system will actually kill everyone, such concerns are often dismissed as unscientific. But this isn’t an excuse for ignoring the risk. It just means society needs to reason about it in the same way as other complex social issues. Researchers also emphasize the difficulty of predicting when AI might _________ human intelligence, but this is an argument for caution, not complacency.

Attitudes are changing, but not quickly enough. AI x-risk is admittedly more _________ than important social issues with present-day AI, like bias and misinformation, but the basic solution is the same: regulation. A robust public discussion is long overdue. By refusing to engage, some AI researchers are neglecting _________ responsibilities and betraying public trust.

Big tech sponsors AI ethics research when it doesn’t hurt the bottom line. But it is also lobbying to exclude general-purpose AI from E. U. regulation. Concerned researchers recently called for a(n) _________ in developing bigger AI models to allow society to catch up. Critics say this isn’t politically realistic, but problems like AI x-risk won’t _________ just because they are politically inconvenient.

This brings us to the ugliest reason researchers may dismiss AI x-risk: funding. Essentially every researcher (myself included) has received funding from big tech. At some point, society may stop believing reassurances from people with such strong conflicts of _________ and conclude, as I have, that their dismissal betrays wishful thinking rather than good counterarguments.

2 . Atomic shapes are so simple that they can’t be broken down any further. Mathematicians are trying to turn to artificial intelligence (AI) for help to build a periodic table of these shapes, hoping it will assist in finding yet-unknown atomic shapes.

Tom Coates at Imperial College London and his colleagues are working to classify atomic shapes known as Fano varieties, which are so simple that they can’t be broken down into smaller components. Just as chemists arranged element s in the periodic table by their atomic weight and group to reveal new insights, the researchers hope that organizing these atomic shapes by their various properties will help in understanding them.

The team has given each atomic shape a sequence of numbers based on its features such as the number of holes it has or the extent to which it bends around itself. This acts as a bar code (条形码) to identify it. Coates and his colleagues have now created an AI that can predict certain properties of these shapes from their bar code numbers alone, with an accuracy of 98 percent.

The team member Alexander Kasprzyk at the University of Nottingham, UK, says that the AI has let the team organize atomic shapes in a way that begins to follow the periodic table, so that when you read from left to right, or up and down, there seem to be general patterns in the geometry (几何) of the shapes.

Graham Nib lo at the University of Southampton, UK, stresses that humans will still need to understand the results provided by AI and create proofs of these ideas. “AI has definitely got unbelievable abilities. But in the same way that telescopes (望远镜) don’t put astronomers out of work, AI doesn’t put mathematicians out of work,” he says. “It just gives us new backing that allows us to explore parts of the mathematical landscape that are out of reach.”

The team hopes to improve the model to the point where missing spaces in its periodic table could point to the existence of unknown shapes.

3 . Fresh fish should have a mild smell. Strong fishy smells are the first signs to go bad. How do the fishy smells come from?

It can be several days from when the fish are caught to when they reach the supermarket. In that time, bacteria that grow naturally in fish start to consume a substance called trimethylamine N-oxide(TMAO)in fish. These bacteria change TMAO into trimethylamine (TMA), the substance responsible for the fishy smells. Bacteria in fish can also change lysine(赖氨酸)into cadaverine(尸胺), a substance that’s associated with breaking down the fish once they are caught and giving off fishy smell.

Chemical reactions can also lead to fishy smells. This happens through the oxidation(氧化)of fat. Fish are an important source of omega-3 fatty acids. When these fats are exposed to oxygen, they oxidize and break down into the substance that you can smell.

To slow down the fishy smell, what is beyond question is that the less time between when the fish are caught and when they reach the kitchen, the better. But today, fish are often flown across the globe. To keep smell-producing bacteria at bay, the fish must be frozen or kept at the low temperature possible as soon as they are caught and cleaned.

Controlling fat oxidation can function as well, especially for fattier fish species. While freezing slows bacterial growth, it does not stop fat oxidation. This reaction will occur as long as oxygen is present. Fatty fish are usually not frozen because, despite the cold temperature, they’re going to oxidize pretty fast unless they are stored in a low oxygen container. That’s why those species are often canned.

It’s also important to remember that smell is not always an indicator of safety, especially in processed fish products. “What you might consider the fishy smell may be a delicacy in another culture,” said Carl A. Batt, a professor of food science at Cornell University.

7 . When you ask people to judge others by their speech, a trend emerges: Listeners dislike disfluency. Slow talkers producing loads of ums and pauses(停顿)are generally perceived as less charming. But science tells us there may be even more to disfluency.

Disfluencies do not occur in arbitrary positions in sentences. Ums typically occur right before more difficult or low-frequency words. Imagine you’re having dinner with a friend at a restaurant,and there’re three items on the table: a knife, a glass, and a wine decanter(醒酒器). Your friend turns to you and says, “Could you hand me the...um...” What would you assume they want? Since it’s unlikely that they will hesitate before such common words as knife, and glass, chances are you’ll pick up the decanter and ask, “You mean this?”

This is exactly what we demonstrated through controlled eye-tracking studies in our lab. Apparently, listeners hear the um and predict that an uncommon word is most likely to follow.Such predictions, though, reflect more than just simple association between disfluencies and difficult words; listeners are actively considering from the speaker’s point of view. For example, when hearing a non-native speaker say the same sentence but with a thick foreign accent, listeners don’t show a preference for looking at low-frequency objects. This is probably because listeners assume non-native speakers may have as much trouble coming up with the English word for a common object, like a knife, as for unusual ones and can’t guess their intention.

In another experiment, listeners were presented with an atypical speaker who produced disfluencies before simple words and never before difficult words. Initially, participants displayed the natural predictive strategy: looking at uncommon objects. However, as more time went by, and they gained experience with this atypical distribution of disfluencies, listeners started to demonstrate the contrary predictive behavior: They tended to look at simple objects when hearing the speaker say um.

These findings represent further evidence that the human brain is a prediction machine: We continuously try to predict what will happen next, even though not all disfluencies are created equal.

8 . ①A group of 41 states and the District of Columbia began a legal case against Meta, the parent company of Facebook, Instagram, WhatsApp and Messenger, insisting that the company knowingly used features on its platforms to cause children to overuse them. The accusations in the lawsuit raise a deeper question about behavior: Are young people becoming addicted to social media and the internet? Here’s what the research has found.

②David Greenfield, a psychologist and founder of the Center for Internet and Technology Addiction in West Hartford, Conn, said the devices tempt users with some powerful approaches. One is “intermittent reinforcement,” which creates the idea that a user could get a reward at any time. But when the reward comes is unpredictable. Adults are easily influenced, be noted, but young people are particularly at risk, because the brain regions that are involved in resisting temptation and reward are not nearly as developed in children and teenagers as in adults. Moreover, the adolescent brain is especially accustomed to social connections, and social media is all a perfect opportunity to connect with other people.

③For many years, the scientific community typically defined addiction in relation to substances, such as drugs, and not behaviors, such as gambling or internet use. That has gradually changed. In 2013, the Diagnostic and Statistical Manual of Mental Disorders, the official reference for mental health conditions, introduced the idea of internet gaming addiction.

④A subsequent study explored broadening the definition to “internet addiction.” The author suggested further exploring diagnostic criteria and the language, for instance, noting that terms like “problematic use” and even the word “internet” were open to broad interpretation, given the many forms the information and its delivery can take.

⑤Dr. Michael Rich, the director of the Digital Wellness Lab at Boston Children’s Hospital, said he discouraged the use of the word “addiction” because the internet, if used effectively and with limits, was not merely useful but also essential to everyday life.

⑥Greenfield agreed that there clearly are valuable uses for the internet and that the definition of how much is too much can vary. But he said there also were obvious cases where immoderate use disturbs school, sleep and other vital aspects of a healthy life. “Too many young consumers can’t put it down, ” he said.“ The internet, including social media like Meta, are the drugs affecting the mind.”