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Loved this paper - am very compelled by its potential. Using the natural world to enhance forecasting - volcano eruptions, future climate, fish stocks...
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Astonishingly interesting article - never given much consideration to underwater avalanches before.
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if you add up all of the computing power that has flown on NASA's big missions beyond Earth orbit, from Voyager to Juno to Cassini to the James Webb Space Telescope, the tiny chip on Ingenuity packs more than 100 times the performance.
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"There must be new physics
Ultra-precise atomic clocks could help investigate dark matter on Earth | Space
I love this confidence.
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Jill Tarter, an eminent SETI scientist, famously referred to SETI as holding up a cosmic mirror, where we’re looking for the “other,” but in the process of doing that, we are really learning about ourselves.
Cultural Bias Distorts the Search for Alien Life - Scientific American
Lest we forget this
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“Our mission by 2030 is to make sure every one of those 10 trillion corn and soybean seeds [growing in the U.S. annually] can be planted, cared for and harvested autonomously if the farmer chooses to do so,”
John Deere’s ingredients for innovation and sustainability
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In 2015, coming online after a years-long overhaul, it made the first detection of gravitational waves emanating from a merger of two black holes 1.3 billion light-years from Earth. LIGO’s precision is equivalent to inferring the distance between Earth and Alpha Centauri A, roughly 26 trillion miles, to within the width of a single human hair
Nanotechnology’s spring - Works in Progress
This is just so cool. Humans are so amazing.
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One way to balance these two governmental imperatives — to help the poor and generate tax revenue from the affluent — is to view the city as a for-profit real estate development company wholly owned by a nonprofit poverty-alleviation entity. The for-profit company focuses on keeping the city attractive to the rich, and the revenue it generates gets plowed into schools and support for the poor.
Carlo Ratti has a playground vision for the future of cities.
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Lovely piece by Paul on Ghost Dances - if you like Cargo Cults this is for you.
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Think of ChatGPT as a blurry jpeg of all the text on the Web.
The New Yorker
Ted Chiang
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ChatGPT could be deployed to millions of users, learn something from each interaction, and then propagate gradient updates to a central server where they are averaged together and applied to all copies of the model. Parallel learning may be one of the most important advantages models have, as it means they can rapidly learn any missing skills.
What will GPT-2030 look like?
This seems important
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