NOTE on Aut-generated English caption: in 1:08–1:12, auto-generated English caption says “Inner Dilemma” but actually it is “Yoneda lemma”(Thanks Junko and M…
7.3 Global Workspace Theory
Posted in futurism
According to the philosopher and cognitive scientist Daniel Dennett, a conscious state is a brain state that is spread out in both space and time. It is spread out in the brain across multiple instances of what Dennett calls “content fixations.” These content fixations are the “multiple drafts” in the theory’s name. Each of these drafts compete for domination in the cognitive system. This domination is what Dennett calls “fame in the brain.” Read more about it here: http://www.scholarpedia.org/article/M…
#philosophyofmind
Daniel Dennett thinks that the Mind-Body problem has a solution. And moreover it’s not a specific or \.
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The rate at which the universe is currently expanding is known as the Hubble Rate. In recent years, different measurements have given different results for the Hubble rate, a discrepancy between theory and observation that’s been called the “Hubble tension”. Now, a team of astrophysicists claims the Hubble tension is gone and it’s the fault of supernovae data. Let’s have a look.
Paper: https://iopscience.iop.org/article/10…
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Paper on the hubble tension.
Wendy L. Freedman and Barry F. Madore JCAP11(2023)050 DOI 10.1088÷1475−7516÷2023÷11÷050
One way to manage the unsustainable energy requirements of the computing sector is to fundamentally change the way we compute. Superconductors could let us do just that.
Superconductors offer the possibility of drastically lowering energy consumption because they do not dissipate energy when passing current. True, superconductors work only at cryogenic temperatures, requiring some cooling overhead. But in exchange, they offer virtually zero-resistance interconnects, digital logic built on ultrashort pulses that require minimal energy, and the capacity for incredible computing density due to easy 3D chip stacking.
Are the advantages enough to overcome the cost of cryogenic cooling? Our work suggests they most certainly are. As the scale of computing resources gets larger, the marginal cost of the cooling overhead gets smaller. Our research shows that starting at around 10 16 floating-point operations per second (tens of petaflops) the superconducting computer handily becomes more power efficient than its classical cousin. This is exactly the scale of typical high-performance computers today, so the time for a superconducting supercomputer is now.
Predicted way back in the 1960s, the discovery of the Higgs boson in 2012 completed the Standard Model. Here’s why it remains fascinating.
