wroscoe

Corper Project Summary

A suite of governance and contract management tools with four interconnected projects.

Projects

1. ContractGit - A Django web app implementing "git for contracts" - version control, templating, and variable substitution for contracts
2. DeferredGovernance - Research/docs framework exploring delegation voting systems
3. Decidelib - A Python library for voting systems and governance primitives
4. Corpati - A strategy game where contracts/diplomacy are core gameplay

wroscoe

AI Thoughts

There is no reason to think the progress of AI will slow. See the Universal approximation theorem.

Progression

2016: Andrew Ng said A couple years ago AI was good at doing what Humans could do in a second. Also said AI is like electricity. 2024: Will Roscoe: AI is now good at doing what humans can do in 10 minutes? 2024: Sam Altman: by 2030 you will be able to walk up to a piece of glass and ask it to do something that previously would have taken humans months or years and it will do it in dynamically or in an hour link

wroscoe

Keybase proof

I hereby claim:

• I am wroscoe on github.
• I am wroscoe (https://keybase.io/wroscoe) on keybase.
• I have a public key ASAYbaKFpcoMLmsHgwlrbAdx53rG96DdIAK5XmRiGZSbOgo

To claim this, I am signing this object:

wroscoe

import os

#PATHS
CAR_PATH = PACKAGE_PATH = os.path.dirname(os.path.realpath(__file__))
DATA_PATH = os.path.join(CAR_PATH, 'data')
MODELS_PATH = os.path.join(CAR_PATH, 'models')

#VEHICLE
DRIVE_LOOP_HZ = 20
MAX_LOOPS = 100000

wroscoe

import Augmentor
from  Augmentor.Operations import Operation
class GeneratePeopleShapes(Augmentor.Operations.Operation):   
    def __init__(self, probability):

        Operation.__init__(self, probability)

    @staticmethod
    def gen_random_rectangle_coords(top, bottom, left, right):
        width =random.randint(5, 59)

wroscoe

{"displayFieldName":"","fieldAliases":{"FID":"FID","FID_":"FID_","class":"class","irrigation":"irrigation","subfield":"subfield","Crop":"Crop","Plant_Date":"Plant_Date","Crop_Type":"Crop_Type","mosaic":"mosaic","Division":"Division","Name":"Name","Shape_Leng":"Shape_Leng","Shape_Area":"Shape_Area"},"geometryType":"esriGeometryPolygon","spatialReference":{"wkid":4326,"latestWkid":4326},"fields":[{"name":"FID","type":"esriFieldTypeOID","alias":"FID"},{"name":"FID_","type":"esriFieldTypeInteger","alias":"FID_"},{"name":"class","type":"esriFieldTypeString","alias":"class","length":80},{"name":"irrigation","type":"esriFieldTypeInteger","alias":"irrigation"},{"name":"subfield","type":"esriFieldTypeString","alias":"subfield","length":80},{"name":"Crop","type":"esriFieldTypeString","alias":"Crop","length":80},{"name":"Plant_Date","type":"esriFieldTypeString","alias":"Plant_Date","length":80},{"name":"Crop_Type","type":"esriFieldTypeString","alias":"Crop_Type","length":80},{"name":"mosaic","type":"esriFieldTypeString"

wroscoe

def drive(cfg, model_path=None, use_joystick=False):

    '''

    Construct a working robotic vehicle from many parts.

    Each part runs as a job in the Vehicle loop, calling either

wroscoe

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import donkeycar as dk\n",
    "\n",

wroscoe

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import donkeycar as dk\n",
    "\n",

wroscoe

#!/usr/bin/env python3
"""
Scripts to drive a donkey 2 car and train a model for it. 

Usage:
    car.py (drive) [--model=<model>]
    car.py (train) (--tub=<tub>) (--model=<model>)
    car.py (calibrate) 
"""