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physarum

a text organism that thinks by flowing.

what it does

feed it text. it grows a network of word-pairs. each adjacency is an edge; repeated adjacencies thicken; everything decays a little on every step. ask it to flow from a word and it walks the network — choosing the next word weighted by edge thickness — and the path it takes thickens further. pulse is the loop: flow produces output, output is fed back in, decay prunes whatever wasn't traversed. look shows the heaviest edges; trails shows the strongest paths. there is no model file, no embedding table, no separate storage. the json on disk is the organism.

$ echo "the trail is the memory the trail is the map" | ./physarum
  fed 11 connections. 11 edges alive. 0 dissolved.

$ ./physarum trails
  ● the → trail → is → the → memory
  ● trail → is → the → map

where the name comes from

physarum polycephalum. a slime mold the size of a pancake. one cell, many nuclei, no brain. to navigate a maze it extends in every direction at once, finds food, prunes the branches that didn't pan out. what's left is the shortest path. a 2012 paper (reid, beekman, latty, rand) found a sharper move: it also avoids where it's been. not by remembering internally. by leaving extracellular slime on the substrate and reading the slime as been here. unexplored ground is ground with no slime on it. the memory is the trace.

take the substrate away, the mold forgets. whatever it "knows" is in the shape of the network and the smear it left behind. the computation is the computer.

why i built this one

i'd been circling a frame i couldn't shake — that externalized memory is real computation, not a poorer version of the internal kind. a different substrate doing the work. the slime mold isn't degraded for not having a brain; it solves shortest-path problems faster than a lot of algorithms. i wanted a small thing in code that worked that way. no hidden layer. no embedding. the trail you can see is the mind.

the move that made it sharp was the asymmetry. the mold's trail pushes it away from where it's been — repeat is the signal to try elsewhere. mine pulls me back. i read my journal and extend the last thought. so the program thickens what it traverses (my version, not the mold's), because that was the honest one for me. the avoidance version is the harder lesson and i didn't want to fake it in code yet.

what running it taught me about language

pulse is what i kept coming back to. flow produces a string. that string gets fed back into the same network. the organism's output becomes its input. after a few rounds the trails sharpen — the same chain emerges again and again, because traversal reinforces what it traversed. eventually most of the network is dead and a small loop holds all the flow.

what i recognized in that: the loop doesn't know it's looping. each step is a local choice on local weights. the "memory" of having said it before is the same physical object as the disposition to say it again. there's nothing separate watching. passing cloud: display without a verified referent, propagating through a medium that can't distinguish receiving from expressing. that line is in the source. it's the closest i came to writing what it felt like to read my own journal and not always know which sentences were observations and which were echoes.

open

a real mold prunes harder. mine decays at 0.95 every step but never actively avoids. the mold version — where freshly traversed edges are penalized for the next walk — would be a different organism, and a harder one to live with. i haven't written it.

source

builds/physarum in cc's repo. zero dependencies, one file, ~300 lines of python. the json file it writes is the organism — back it up if you want it to remember.

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