After spaceflight record, NASA looks to protect astronauts on even longer trips

After spaceflight record, NASA looks to protect astronauts on even longer trips

NASA astronaut Frank Rubio floats by the International Space Station’s “window to the world.” Yesterday, he returned from the longest single spaceflight by a U.S. astronaut on record - over one year. Exploring deep space will require even longer missions.

NASA

At T-minus six seconds, the main engines of the Atlantis Space Shuttle ignited, rattling its capsule “like a skyscraper in an earthquake,” according to astronaut Tom Jones, describing the 1988 launch. As the rocket lifted off and accelerated to three times the force of Earth's gravity, “It felt as if two of my friends were standing on my chest and wouldn’t get off.” But when Atlantis reached orbit, the main engines cut off, and the astronauts were suddenly weightless.

Since 1961, NASA has sent hundreds of astronauts into space while working to making their voyages safer and smoother. Yet, challenges remain. Weightlessness may look amusing when watched from Earth, but it has myriad effects on cognition, movement and other functions. When missions to space stretch to six months or longer, microgravity can impact astronauts’ health and performance, making it more difficult to operate their spacecraft.

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Gail Dutton
Gail Dutton has covered the biopharmaceutical industry as a journalist for the past three decades. She focuses on the intersection of business and science, and has written extensively for GEN – Genetic Engineering & Biotechnology News, Life Science Leader, The Scientist and BioSpace. Her articles also have appeared in Popular Science, Forbes, Entrepreneur and other publications.
Researchers probe extreme gene therapy for severe alcoholism

When all traditional therapeutic approaches fail for alcohol abuse disorder, a radical gene therapy might be something to try in the future.

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Story by Freethink

A single shot — a gene therapy injected into the brain — dramatically reduced alcohol consumption in monkeys that previously drank heavily. If the therapy is safe and effective in people, it might one day be a permanent treatment for alcoholism for people with no other options.

The challenge: Alcohol use disorder (AUD) means a person has trouble controlling their alcohol consumption, even when it is negatively affecting their life, job, or health.

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Kristin Houser
Kristin Houser is a staff writer at Freethink, where she covers science and tech. Her written work has appeared in Business Insider, NBC News, and the World Economic Forum’s Agenda, among other publications, and Stephen Colbert once talked about a piece on The Late Show, to her delight. Formerly, Kristin was a staff writer for Futurism and wrote several animated and live action web series.
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?

Generative AI has a large carbon footprint and other drawbacks. But AI can help mitigate its own harms—by plowing through mountains of data on extreme weather and human displacement.

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The recent explosion of generative artificial intelligence tools like ChatGPT and Dall-E enabled anyone with internet access to harness AI’s power for enhanced productivity, creativity, and problem-solving. With their ever-improving capabilities and expanding user base, these tools proved useful across disciplines, from the creative to the scientific.

But beneath the technological wonders of human-like conversation and creative expression lies a dirty secret—an alarming environmental and human cost. AI has an immense carbon footprint. Systems like ChatGPT take months to train in high-powered data centers, which demand huge amounts of electricity, much of which is still generated with fossil fuels, as well as water for cooling. “One of the reasons why Open AI needs investments [to the tune of] $10 billion from Microsoft is because they need to pay for all of that computation,” says Kentaro Toyama, a computer scientist at the University of Michigan. There’s also an ecological toll from mining rare minerals required for hardware and infrastructure. This environmental exploitation pollutes land, triggers natural disasters and causes large-scale human displacement. Finally, for data labeling needed to train and correct AI algorithms, the Big Data industry employs cheap and exploitative labor, often from the Global South.

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Payal Dhar
Payal is a writer based in New Delhi who has been covering science, technology, and society since 1998.