Category: Uncategorized
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Photosynthetic Howl
(after Allen Ginsberg) I saw the best leaves of my generation devoured by light!starving chlorophyll priests in green cathedrals of cellulose,who split! split! split! holy H2O with photon-knives,ejaculating oxygen like ghostly hymns into the choking sky,who snatched CO2’s poisoned breath from smokestack nightmares,transmuting death-gas into sweet sucrose pyramids,sacramental sugar offered freely! freely! to the ravenous…
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How Sunshine Turns Into the Breath We Take and the Energy We Spend
A friendly, detailed walk-through of the whole story, from a sunbeam hitting a leaf to the ATP that lets you wiggle your toes A Road-Map for the Journey By the end you will see one unbroken causal chain linking three grand themes of life: sunshine, breath, and motion. The language is deliberately homespun, the science…
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Seeing the “shape” hidden inside messy data
Seeing the “shape” hidden inside messy data Imagine you have a giant bucket of dots floating in space. Some dots are close together, some are far apart, and the whole thing looks like a cloud. If you could somehow connect those dots in just the right way, you might discover that, taken together, they form…
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Concrete worked example: using a Cellular-Automata ↔ Neural-Network hybrid to “remember” and restore heavily-damaged MNIST digits
1 Problem we’ll tackle Given a 28 × 28 hand-written digit that has been obliterated—70 % of its pixels blanked out—can a system “recall” what the digit looked like and reconstruct it? 2 Architectural recipe (numbers are from an actual proof-of-concept run) Layer / stage What happens Key sizes & hyper-params Seed encoder Map the…
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A plain-English tour of cellular automata, neural networks, and the “attractor-basin” idea from Frank Schmidt’s article “Memory as an Attractor Basin—Why Brains and Artificial Networks Remember by Falling, Not Filing.
How Brains, Computers, and Simple Little Grids Can Remember Things 1. The Big Picture Most of us learned in school that memory works like a filing cabinet: you put a fact in a folder, stick it in a drawer, and pull it out later. Modern neuroscience and machine-learning research say that picture is wrong. A…
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Synergizing Cellular Automata and Neural Networks: Memory as a Dynamical Descent
A 5 000-word synthetic essay inspired by “Memory as an Attractor Basin: Why Brains and Artificial Networks Remember by Falling, Not Filing” Abstract Memory manifests not as static storage but as motion toward energetic lowlands—attractor basins—within vast, high-dimensional state spaces. Frank Schmidt’s recent essay reframes recall in both brains and artificial neural networks (ANNs) as…