7. Rotations are either hyperbolic or euclidean (around an axis). The set of possible rotational operators gives rise to the set of spinor spaces.
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Replying to @Plinz
8. Particles are clusters of oscillating information (mass = disparity in time) that are propelled through a lattice by translational and rotational momentum (momentum = disparity in space). Fields are lattice irregularities propagated by the particles propelled by them.
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Replying to @Plinz
9. Stable gliders are scalefree automata patterns that are stable only in low dimensional lattices. Gravitational stability only works in 3D, which is why planetary surfaces containing observers like us are 3D.
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Replying to @Plinz
10. The spatial resolution of the universe is not at the Planck length but probably more like a Fermi, because particles are represented across large regions of the lattice. The higher apparent resolution is the result of anti-aliasing (i.e. position = focal point of the region).
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Replying to @Plinz
11. We don't exist continuously but only at regular slices of the phase space, so we cannot observe the entire evolution of the universe vector. We blink in and out of existence. Measurement locks us into the same phase as that what we observe.
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Replying to @Plinz
The universe always operates at the scale of my currently most sensitive instruments.
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Replying to @Plinz
Oooooo buddy. Seriously, though. We think a lot alike. You’re much more formal and careful and so on but I agree with most of this to most extent. I’m just playing irreverently.
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I have low confidence that all I gave you above is correct. I have been just speculating about the fundamental nature of the universe. This is simply the most thorough, self consistent direction of speculation I have discovered so far.
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Replying to @Plinz
What I feel after years of speculating like this is how the same it all is. More complexity goes up and down in unbounded layers of patterns. I don’t know where it came from or where it’s going.
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Replying to @RealtimeAI @Plinz
Highly complex phenomena can be generated by very simple algorithms eg fractals. The trick is to work out how to backwards engineer effectively enough to uncover the underlying principles. We don't have really good techniques for that yet but we can work on it, not a lost cause
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