John Simpson at The Guardian:
To our shame, few of us outside China know much about the country’s classical poetry. It doesn’t help that the way the names of leading poets are transliterated has changed so often. Many writers included in Ezra Pound’s groundbreaking collection Cathay, published in 1915, are unrecognisable by name today. Only a generation or so ago we called one of China’s greatest poets Li Po; nowadays we know him as Li Bai. And Li Bai’s friend and contemporary, the magnificent Du Fu, was until recently called Tu Fu in the west; different enough to put people who don’t speak Chinese off the scent in an online search.
Even more elusive is the poetry itself. Du Fu, who Michael Wood, in his superb new book, unequivocally calls “China’s greatest poet” (some scholars may have other ideas about that, though personally I think Wood is right) wrote many of his finest poems in couplets of seven impressionistic characters each.
more here.
What doesn’t kill you might make you stronger. When it comes to nature’s toxins, they might even save your life (or at least blunt the sting of its finality). The distinction, as the evolutionary biologist Noah Whiteman explores in “Most Delicious Poison,” is all in the dosage.
Teaching algorithms to mimic humans typically requires hundreds or thousands of examples. But a new AI from Google DeepMind can pick up new skills from human demonstrators on the fly. One of humanity’s greatest tricks is our ability to acquire knowledge rapidly and efficiently from each other. This kind of social learning, often referred to as cultural transmission, is what allows us to show a colleague how to use a new tool or teach our children nursery rhymes. It’s no surprise that researchers have tried to replicate the process in machines. Imitation learning, in which AI watches a human complete a task and then tries to mimic their behavior, has long been a popular approach for training robots. But even today’s most advanced deep learning algorithms typically need to see many examples before they can successfully copy their trainers.
The English novelist Geoff Dyer remarked that “creative writing courses emphasise the importance of point-of-view and p.o.v. characters. Salter blows much of that stuff out of the water.” After the austere prose of his early war books he was no longer interested in traditional narrative and chronological structure, and used a radically different style and form in his third and fourth novels, A Sport and a Pastime and Light Years. The narrator in Sport is admittedly unreliable and cannot possibly have seen everything he describes. Salter told Phelps (punning in French on his name) that his sentence fragments—which suggest broken thoughts and incomplete speech—are “going to have many beautiful jumps, sauts, perhaps will be a ballet.” One puzzled critic noted that “Salter jumps the gap from one kind of time to another, from broad narrative time to tight episodic time, without a safety net, trusting the reader to follow him.” Salter also alienated readers by killing his main characters at the end of the novels: Connell in The Hunters, Cassada in Arm of Flesh, Dean in Sport, Nedra in Light Years.
So you want to live like you’re from the Middle Ages? Well, maybe that’s not a common aspiration, but nevertheless, it’s a subject that’s become Olivia M. Swarthout’s expertise.
Buying or selling bitcoin uses 16,000 litres of clean water for every single transaction, which could exacerbate existing droughts around the world. While the energy consumption and carbon emissions produced by bitcoin and other cryptocurrencies have been well studied, this is the first assessment of its water use and wider environmental impact.
DNA mutations
Nonprofit hospitals have been caught doing some surprising things, given how they are supposed to serve the public good in exchange for being exempt from federal, state and local taxes — exemptions that added up to 
Biologists have discovered another incredible skill of ants that put humans to shame—they have a special technique to avoid traffic jams. Scientists from Texas Tech University and other institutions studied the 20-minute rhythms of the Leptothorax ant and discovered that their clever synchronization skills allowed them to avoid congestion. Their findings are published in a Proceedings of the Royal Society study.
On that gray February morning, the exhibit galleries smelled of perfumed wool and vibrated with a hushed reverence for Picasso’s creatures—two-legged, four-legged, winged, taloned, hooved. A man with a goat, a tiny horse with casters for feet, a girl jumping rope, Picasso’s ever-present Minotaur. And many, many women.
The Artificial Intelligence landscape is changing with remarkable speed these days, and the capability of Large Language Models in particular has led to speculation (and hope, and fear) that we could be on the verge of achieving