JD-P

Hermes is a piece of non-deterministic software that performs informal reasoning steps in collaboration with the user. Each step is prepended with some syntax to tell the software what it should be/do. Like so:

HERO [Albert Einstein, Op: Objection], That's not correct. Nothing can travel faster than the speed of light.

Hermes allows the user to call upon any hero in history or myth and use them as a reasoning step. Or have them talk to each other about something. The user can freely mix together their cognition and the simulated cognition of other minds. New operations and syntax can be created at will and Hermes will do its best to respond to and use them.

The user writes down their own cognition as a series of subagents, like so:

USER [A: EMPATHY], I completely agree! It's wonderful. Like the difference between the true duet of Scarborough Fair and the nonsense one.
USER [A: 343], It's funny. In order to save the world rationalists finetune the human priors out of themselves, humans are dreamers not max

JD-P

# Install Instructions
# git clone https://github.com/harmonai-org/sample-generator
# git clone --recursive https://github.com/crowsonkb/v-diffusion-pytorch
# pip install ipywidgets==7.7.1
# cd v-diffusion-pytorch
# pip install -r requirements.txt
# cd ..
# cd sample-generator
# pip install .
# cd ..

JD-P

(defun do-wl-rest-mutate (mutation-type endpoint post-params auth-token)
  (drakma:http-request
   (quri:render-uri (quri:merge-uris (quri:make-uri :path endpoint :query "") (quri:uri (rest-api-uri *current-backend*))))
   :method mutation-type
   :parameters post-params
   :additional-headers `(("authorization" . ,auth-token)))
  )

(define-backend-operation do-lw2-mutation backend-accordius (auth-token target-type mutation-type terms fields)

JD-P

import time
import argparse
import csv
import matplotlib.pyplot

parser = argparse.ArgumentParser()
parser.add_argument("filepath", help="The filepath to the copy of the survey.")
arguments = parser.parse_args()
infile = open(arguments.filepath, encoding="latin-1")
survey = infile.read()