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The key to making AI green is quantum computing
Spooky action at a distance can solve our hungry AI problem Nicole Gray
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Weâve painted ourselves into another corner with artificial intelligence. Weâre finally starting to breakthrough the usefulness barrier but weâre butting up against the limits of our our ability to responsibly meet our machinesâ massive energy requirements.
At the current rate of growth, it appears weâll have to turn Earth into Coruscant if we want to keep spending unfathomable amounts of energy training systems such as GPT-3 .
The problem: Simply put, AI takes too much time and energy to train. A layperson might imagine a bunch of code on a laptop screen when they think about AI development, but the truth is that many of the systems we use today were trained on massive GPU networks, supercomputers, or both. Weâre talking incredible amounts of power. And, worse, i
“Planet Earth Report” provides descriptive links to headline news by leading science journalists about the extraordinary discoveries, technology, people, and events changing our knowledge of Planet Earth and the future of the human species.
Ghostly Circles in Space Can’t be Explained by Current Theories–Among them was a picture of a strange circle of radio emission, hanging out in space like a cosmic smoke-ring reports astronomer Ray Norris for The Conversation. None of us had ever seen anything like it before, and we had no idea what it was, report scientists examining new images from pilot observations for the Evolutionary Map of the Universe (EMU) project, made with CSIRO’s revolutionary new Australian Square Kilometer Array Pathfinder (ASKAP) telescope.