Lifeboat Foundation

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, galaxies 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 environmental factors 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.

Posted on Big Think.

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 nova 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 visible light.

It’s the largest, richest, most in-depth, most accurate map of the Milky Way that’s ever been constructed. This sparks joy.

“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.

Continue reading “LaMDA and the Sentient AI Trap” »

For plans to establish a human settlement on the Moon, finding water is crucial. This data will provide insights into how to look for more on the Moon.

Radiation may be the biggest threat to humans living on another planet.

To ensure astronaut health and safety, scientists are investigated several means of radiation protection. The optimal mixture is surprisingly rustic, they find.

A mismatch between theories used in astronomy to model the formation of new stars in a Bok globule is changing the way we view stellar nurseries.

Iron-rich rocks in Minnesota give a proxy view into how aqueous interactions with Martian rocks could have shaped that planet’s early environment.