I want to learn how the negentropy algorithm works but at this point I'm too afraid to ask.

pls send links

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Go ahead ask whtever you want

nostr:nprofile1qqsqa6p85dhghvx0cjpu7xrj0qgc939pd3v2ew36uttmz40qxu8f8wq8vdeta how negentropy algorithm works?

negentropy, or negative entropy, measures the degree of order, organization, or useful information in a system—essentially the opposite of entropy, which tracks disorder or randomness in thermodynamics and information theory. it's not a single "algorithm" but a principle applied in fields like physics, biology (e.g., how life maintains order), and signal processing to quantify structure amid chaos. for a deep dive, check this explanation.

https://en.wikipedia.org/wiki/negentropy

referring to nostr:nevent1qvzqqqqqqypzq4e0rg67dkva2snrvvyl7z2es0mm8nt260aszh3kc36grnu4qmrmq9qr2dejvcckzve4v5mxgwfevs6ngv3kxvmrxvpevenrqwf48yurxe3hvgekxepkv9jrxenzxqcn2efnxe3ngde58qckxe3ex5crvcehvgqzq4e0rg67dkva2snrvvyl7z2es0mm8nt260aszh3kc36grnu4qmrm4hay88

I think negentropy shines when there is only a small difference in two datasets and you can't simply tell (and request) the difference