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Lee Billings

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As seen in: Scientific American, Apple Podcasts, Margins of Error, The New York Times, Nature, The Wall Street Journal, Aol, PBS, PBS NewsHour, WIRED Magazine, Slate and
Senior editor at @sciam. Author of Five Billion Years of Solitude, re: the search for Earth-like exoplanets. Opinions my own. Signal: @lee_billings.81
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Articles

Scientific American

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By Lee Billings Verified, Phil Plait Verified
| Scientific American Verified
Folding a piece of paper makes it thicker. How many folds would it take to reach the moon—and beyond? Humans are linear thinkers. That is, when we think of numbers, we tend to do so in a linear sense: 1 + 1 = 2, the difference between integers is a constant equal to 1, and so on. What's funny about that is that the universe is decidedly nonlinear. Most of the ways humans interact with the world aren't linear, either! Your eyes don't see linearly ; we see luminance on a modified logarithmic scale.
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NASA's Voyager 2 survives daring ‘big bang' maneuver

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By Lee Billings Verified, Meghan Bartels Verified
| Scientific American Verified
After 49 years in space, NASA's Voyagers are running low on power—but an audacious move should extend the tenures of the two spacecraft “Big bang” is not a phrase NASA typically wants for describing any of its space missions, let alone its beloved twin Voyager interstellar probes. But engineers have successfully performed a delicate procedure with just that nickname on Voyager 2—a process they believe could extend the spacecraft's operations by two years. And Voyager 1 is up next.
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OpenAI's latest math breakthroughs commit research misconduct, experts say

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By Lee Billings Verified
| Scientific American Verified
The company released ten AI-generated results over the weekend. Some mathematicians are unhappy with their approach OpenAI's newest chatbot may be a whiz at math, but it seems to be lagging far behind humans in its academic rigor Last week the company announced 10 more artificial-intelligence-generated math advances that were found during internal development and testing of its next major large language model.
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