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Hong Kong, a densely populated city where agriculture space is limited, is almost totally dependent on the outside world for its food supply. More than 90% of the skyscraper-studded city’s food, especially fresh produce like vegetables, is imported, mostly from mainland China. “During the pandemic, we all noticed that the productivity of locally grown vegetables is very low,” says Gordon Tam, cofounder and CEO of vertical farming company Farm66 in Hong Kong. “The social impact was huge.”

Tam estimates that only about 1.5% of vegetables in the city are locally produced. But he believes vertical farms like Farm66, with the help of modern technologies, such as IoT sensors, LED lights and robots, can bolster Hong Kong’s local food production—and export its know-how to other cities. “Vertical farming is a good solution because vegetables can be planted in cities,” says Tam in an interview at the company’s vertical farm in an industrial estate. “We can grow vegetables ourselves so that we don’t have to rely on imports.”

Tam says he started Farm66 in 2013 with his cofounder Billy Lam, who is COO of the company, as a high-tech vertical farming pioneer in Hong Kong. “Our company was the first to use energy-saving LED lighting and wavelength technologies in a farm,” he says. “We found out that different colors on the light spectrum help plants grow in different ways. This was our technological breakthrough.” For example, red LED light will make the stems grow faster, while blue LED light encourages plants to grow larger leaves.

The ancestors of some of the largest galaxy clusters have been hiding in plain sight. New work led by Carnegie’s Andrew Newman demonstrates a new technique for identifying the precursors of the most extreme galactic environments. The team’s findings are published in Nature.

Like all of us, are shaped and molded by their surroundings. To obtain a complete picture of the various physical influences on a galaxy’s lifecycle, it’s crucial to trace the emergence of properties caused by as they arise.

“We’ve known for a long time that the colors, masses, and shapes of galaxies depend on their cosmic environment, but there’s a lot we don’t know about when and how those differences appeared,” Newman said.

Astronomers are buzzing after observing the fastest nova ever recorded. The unusual event drew scientists’ attention to an even more unusual star. As they study it, they may find answers to not only the nova’s many baffling traits, but to larger questions about the chemistry of our solar system, the death of stars and the evolution of the universe.

The research team, led by Arizona State University Regents Professor Sumner Starrfield, Professor Charles Woodward from University of Minnesota and Research Scientist Mark Wagner from The Ohio State University, co-authored a report published today in the Research Notes of the American Astronomical Society.

A is a sudden explosion of bright light from a two-star system. Every nova is created by a white dwarf—the very dense leftover core of a star—and a nearby companion star. Over time, the white dwarf draws matter from its companion, which falls onto the white dwarf. The white dwarf heats this material, causing an uncontrolled reaction that releases a burst of energy. The explosion shoots the matter away at high speeds, which we observe as .

“Quite a large gap exists between the current narrative of AI and what it can actually do,” says Giada Pistilli, an ethicist at Hugging Face, a startup focused on language models. “This narrative provokes fear, amazement, and excitement simultaneously, but it is mainly based on lies to sell products and take advantage of the hype.”

The consequence of speculation about sentient AI, she says, is an increased willingness to make claims based on subjective impression instead of scientific rigor and proof. It distracts from “countless ethical and social justice questions” that AI systems pose. While every researcher has the freedom to research what they want, she says, “I just fear that focusing on this subject makes us forget what is happening while looking at the moon.”

What Lemoire experienced is an example of what author and futurist David Brin has called the “robot empathy crisis.” At an AI conference in San Francisco in 2017, Brin predicted that in three to five years, people would claim AI systems were sentient and insist that they had rights. Back then, he thought those appeals would come from a virtual agent that took the appearance of a woman or child to maximize human empathic response, not “some guy at Google,” he says.


Arguments over whether Google’s large language model has a soul distract from the real-world problems that plague artificial intelligence.