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Measurement works because universe moves in a simple way. As Hume indicates, you need very complex motion for irregularity, maybe even sentient, but sentient un
by GoblinSlayer 18d ago
Measurement works because universe moves in a simple way. As Hume indicates, you need very complex motion for irregularity, maybe even sentient, but sentient universe is fairy tale.
- pixl97 18d ago> but sentient universe is fairy tale. Ehhhhh.... this is actually a much bigger claim than you realize and to immediately dismiss it leads to some problematic issues in the continuum of reality. Without a rigorous falsifiable definition of sentient at all scales it can apply at best the problem is undefined. Are brains sentient? Are neurons sentient? Are the actual algorithms these structures run sentient? Without those answers we can really only say "The universe is probably not sentient". Also, you are the universe experiencing itself.
- deleted 18d ago[deleted]
- GoblinSlayer 18d agoFor a regularity to be broken, the phenomenon causing this regularity should be sentient to break the regularity in an intelligently chosen way. It doesn't matter how sentient are neurons, they don't affect anything and might as well be absent. See https://en.wikipedia.org/wiki/Discovery_of_Neptune https://en.wikipedia.org/wiki/Discovery_of_Neptune - what neurons did there?
- general_reveal 18d agoIn other words, if I write this for loop: For (i=0; i< math.random; i++) This stability, as anarchic as it is with that randomness, still within reach of our finite minds to understand that it isn’t totally random, however utterly random it may appear to our mind, such an explicit and confined loop, why should such a thing ever be unpredictable? Some will argue that simple .randomnesss() is the thing that mindfucks you. But plenty are gifted to not be perturbed by randomness, that even in the noise they can seek out a truth. Hah. Yeah, why would magically improbable things emerge out of a clear cut predictable system, like the for loop I defined above, which to the naive will seem infinitely impossible to predict because I increased the domain to randomness. Somewhere here, God laughs. I write jokes for the divine, I never thought that’d be me, hah! —— I believe Christ speaks to programmers. We have insight into design and big systems. God is Good. Therefore, those who were gifted the training to understand design, should take up the mantle. Lord have mercy, grace us, this place has been hollow of practical religious men and women for quite some time. May god bless this place with more leaders of the right soul. Amen.
- GoblinSlayer 17d agoTrading sacrifices for a good hunt is kinda useless now.
- rramadass 17d agoThis is just meaningless twaddle. Read the chapter on "Chance" in Poincare's "Science and Method" linked to here - https://news.ycombinator.com/item?id=49743377 https://news.ycombinator.com/item?id=49743377 Randomness/Chance itself is amenable to laws by which we can estimate its bounds. In one sense everything is chance since the deterministic laws themselves operate within approximation bounds. When the approximation bound in the effect is similar in magnitude to that in the cause and both are very small, we call it "deterministic" whereas when the approximation bound in the effect is much larger than that in the cause for no discernible reason we say "chance" is operating.
- n4r9 17d agoCould you cite your reference to Hume here please? I'm not aware of him linking complexity to regularity.
- GoblinSlayer 17d agoChicken and farmer.
- n4r9 17d agoThat's Russell rather than Hume, and I don't see how it links to complexity.
- GoblinSlayer 16d agoThe chicken has a problem with prediction of future because of intelligent behavior of the farmer, i.e. the farm is a conspiracy of sorts.
- n4r9 16d agoI wonder if you're reading too far into one example. Hume's original example was of the sun rising every day - nothing to do with sentience or arguably even complexity. The chicken/farmer example is one that Russell came up with to make it easier to imagine.