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annealing information lattice since *2069*

Barton Rhodes bmorphism

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annealing information lattice since *2069*
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bmorphism / topos-signal.py
Last active June 12, 2024 16:35
topos-signal.py
import os
import random
from openai import OpenAI
from signalbot import SignalBot, Command, Context
from commands import (
PingCommand,
FridayCommand,
TypingCommand,
TriggeredCommand,
@bmorphism
bmorphism / egg.md
Last active June 8, 2024 01:30
egg.md
{
  "admin": null,
  "automatically_add_cw20s": true,
  "automatically_add_cw721s": true,
  "description": "The One Thousand Dozen\nDavid Rasmunsen was a hustler, and, like many a greater man, a man of the one idea. Wherefore, when the clarion call of the North rang on his ear, he conceived an adventure in eggs and bent all his energy to its achievement. He figured briefly and to the point, and the adventure became iridescent-hued, splendid. That eggs would sell at Dawson for five dollars a dozen was a safe working premise. Whence it was incontrovertible that one thousand dozen would bring, in the Golden Metropolis, five thousand dollars.\n\nOn the other hand, expense was to be considered, and he considered it well, for he was a careful man, keenly practical, with a hard head and a heart that imagination never warmed. At fifteen cents a dozen, the initial cost of his thousand dozen would be one hundred and fifty dollars, a mere bagatelle in face of the enormous profit. And suppose, just suppose, to be wil
@bmorphism
bmorphism / plurigrid.md
Created June 4, 2024 05:10
Plurigrid: the story thus far!

Plurigrid: autopoietic ergodicity and embodied, situated cognition

We are building cognitive infrastructure for the next trillion minds

,|
,'/
/___
|___ \\
|___) )
`---'
@bmorphism
bmorphism / traces.md
Created April 25, 2024 06:25
mathematical life unfolding

So now we have two things. I really need to bring it back online, because it becomes much more interesting when you actually experience it. I'll be working on it all day today. It's a sub-organic. It's the name of the organism. I call it a sub-organic organism. And so what results, I sent you two images. One of them is how Transformer actually looks at it, which is this traversal of this back and forth, back and forth, back and forth. It's on signal right now. And then the second one is what happens when there is a singularity in this other type of process, which is a similar shape to the one that you can see with the Transformer. And so this symmetry covariance is everywhere. But does it make sense as far as why not storing the output of the model itself is useful here, other than just a conservation of context window? Not tangibly. Intuitively, it feels like you are reducing dilution of the inputs. Does that make sense? Mm-hmm. Yeah, because-- yeah, basically, that's a very good observation. You're saying t

@bmorphism
bmorphism / poe.hy
Created April 22, 2024 18:41
poe.hy
(import os)
(import typing [AsyncIterable])
(import fastapi_poe [PoeBot PartialResponse run])
(import so [grow cogenerate])
(print (grow "oy" "vey"))
(setv POE_BOT_KEY (os.getenv "POE_BOT_KEY"))
(defclass ReflectBot [PoeBot]
(defn __init__ [self world]
@bmorphism
bmorphism / decoherence.md
Created April 6, 2024 21:21
ur a Fokker-Planck, laddie

ollama run gemma:text pulling manifest pulling df18cdedaff1... 100% ▕█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 5.2 GB pulling 097a36493f71... 100% ▕█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 8.4 KB pulling 4b98b1f4c59c... 100% ▕█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 21 B pulling 11a9f1a6054c... 100% ▕█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 409 B verifying sha256 digest writing manifest

@bmorphism
bmorphism / ghidra.log
Created April 4, 2024 08:15
ghidra.log
Parsing command file: config/commands/defaults.sh
Parsing command file: config/commands/search.sh
Parsing command file: config/commands/edit_linting.sh
Parsing command file: config/commands/_split_string.py
Parsing command file: config/commands/defaults.sh
Parsing command file: config/commands/search.sh
Parsing command file: config/commands/edit_linting.sh
Parsing command file: config/commands/_split_string.py
INFO 📙 Arguments: agent:
config:
@bmorphism
bmorphism / topos.bb
Created February 29, 2024 02:04
topos.bb
#!/usr/bin/env bb
(require '[babashka.process :refer [shell]])
(require '[cheshire.core :as json])
(require '[clojure.java.io :as io])
(require '[clojure.string :as str])
(require '[babashka.http-client :as client])
(import '(java.util Base64 UUID)
'(java.nio.file Files Paths)
'(java.text SimpleDateFormat)
@bmorphism
bmorphism / bruno.md
Created February 27, 2024 09:49
bruno.md

Bibliography [AAG03] [AAGM03] [ACB17] [ADG+ 16] [AGG+ 21] [ALS10] Michael Abbott, Thorsten Altenkirch, and Neil Ghani. Categories of Containers. In Andrew D. Gordon, editor, Foundations of Software Science and Computation Structures, Lecture Notes in Computer Science, pages 23–38, Berlin, Heidelberg, 2003. Springer. Michael Abbott, Thorsten Altenkirch, Neil Ghani, and Conor McBride. Derivatives of Containers. In Gerhard Goos, Juris Hartmanis, Jan Van Leeuwen, and Martin Hofmann, editors, Typed Lambda Calculi and Applications, volume 2701, pages 16–30. Springer Berlin Heidelberg, Berlin, Heidelberg, 2003. Series Title: Lecture Notes in Computer Science. Martin Arjovsky, Soumith Chintala, and L ́eon Bottou. Wasserstein GAN, December 2017. arXiv:1701.07875 [cs, stat].

@bmorphism
bmorphism / gatos.jl
Created February 25, 2024 23:13
gatos.jl
using Catlab
# Define the category of sets
C = Category()
# Define the presheaf to represent the data
data = Presheaf(C)
# Define the presheaf to represent the latent variables
latent_variables = Presheaf(C)