Yes, it’s your Stargate partner-in-whine here to talk about my inability to relax and just give in to a fatty future…instead forcing myself on this horrible devices while I learn… today’s weapon of choice is the Smooth Fitness CE 74.4 Elliptical machine of horror…join me!
Category: futurism – Page 47
Easter Island consists of several extinct volcanoes. The oldest lava deposits formed some 2.5 million years ago on top of an oceanic plate not much older than the volcanoes themselves. In 2019, a team of Cuban and Colombian geologists left for Easter Island to accurately date the volcanic island. To do so, they resorted to a tried-and-tested recipe: dating zircon minerals. When magma cools, these minerals crystallize. They contain a bit of uranium, which ‘turns’ into lead through radioactive decay.
Because we know how fast that process happens, we can measure how long ago those minerals formed. The team from Colombia’s Universidad de Los Andes, led by Cuban geologist Yamirka Rojas-Agramonte, therefore went in search of those minerals. Rojas-Agramonte, now at the Christian Albrechts-University Kiel, found hundreds of them. But surprisingly, not only from 2.5 million years old, but also from much further back in time, up to 165 million years ago. How could that be?
MIT’s Yang Center shows how light can control muscles with low fatigue, but human use needs more work.
MIT researchers have demonstrated how light could control muscles without causing much fatigue. Their new approach can help people with amputation or paralysis regain limb control in the future.
Via Multitask Learning.
Ahmed A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni, Michael Bronstein University of Oxford & MIT https://arxiv.org/abs/2410.
Can _equivariance_ be learned by unconstrained models?
The largest known prime number has been discovered by an amateur researcher and former Nvidia employee.
The new number is 2136,279,841 – 1, which beats the previous title holder (282,589,933 – 1) by more than 16 million digits.
This book describes the philosophical implications of artificial general intelligence, cognitive enhancements and the smart environment on the human mind.
This monograph examines the metaphysical commitments of the new mechanistic philosophy, a way of thinking that has returned to center stage. It challenges a variant of reductionism with regard to higher-level phenomena, which has crystallized as a default position among these so-called New Mechanists. Furthermore, it opposes those philosophers who reject the possibility of interlevel causation.
Contemporary philosophers believe that the explanation of scientific phenomena requires the discovery of relevant mechanisms. As a result, new mechanists are, in the main, concerned solely with epistemological questions. But, the author argues, their most central claims rely on metaphysical assumptions. Thus, they must also take into account metaphysics, a system of thought concerned with explaining the fundamental nature of being and the world around it. This branch of philosophy does indeed matter to the empirical sciences.
The chapters investigate the nature of mechanisms, their components, and the ways in which they can bring about different phenomena. In addition, the author develops a novel account of causation in terms of activities.
An exploration of alternative biochemistries, especially that of fluorine, and how the luminosities of stars may play into different forms of life.
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An exploration of ten scenarios related to the simulation hypothesis that speculate on the nature of what the simulation is, why it exists and who is doing the simulation.
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