PtrMan

!dream "a dendritic monster emerging from the ocean, sea waves, vray, 55mm" -n 5


!dream "a wormy dendritic monster emerging from the ocean, sea waves, vray, 55mm" -n 5



!dream "furry friendly monster, photorealistic, colored, unreal engine, vray, 55mm" -n 9

PtrMan

https://kajsotala.fi/2007/10/14-objections-against-aifriendly-aithe-singujlarity-answered/


https://www.psychologytoday.com/us/blog/shut-and-listen/201806/humans-cant-plan-long-term-and-heres-why


https://kajsotala.fi/2007/10/14-objections-against-aifriendly-aithe-singularity-answered/
Friendly AI

https://towardsdatascience.com/attention-in-neural-networks-e66920838742

PtrMan

from MiniClasses import *


class Classifier:
	def __init__(self):
		pass
		
	def classifySentence(self, Sentence):
		i = 0
		

PtrMan

Overview of my Projects

Renderer

2017 2017Ray Raytracer

Proto-AGI

2019 NaExp19-2
2019 19NAR2
2021 20NAR1

PtrMan

library of cc0 sounds

This is a library of sounds under CC0 or public domain license. It also includes some music pieces. The intention here is that this is usable as a sample library for sound design.

https://freesound.org/people/gis_sweden/sounds/732017/ [music]

Electronic Minute No 216 - Intermission Acid.wav [rythm]/
Electronic Minute No 209 - First Modular Synth Wi... [chaos]/
Electronic Minute No 225 - Rhythmic Thoughts.wav [chaos] [rythm]/

PtrMan

What is this?

This is a collection of free e-books about Artificial Intelligence(Machine Learning, Planning) and Data Science etc. .

keywords:

ML, ebook, ebooks, books, book, machine learning, statistics, free

Books

Understanding Deep Learning 2023

PtrMan

some specialized languages sorted by domain

GPU DSL

Impala

Impala Github can be used to compile code for GPU's.

• supports partial specialization

PtrMan

use rand::Rng;
use std::rc::Rc;
use std::cell::RefCell;

// DONE< check for events which were anticipated and remove anticipations! >
// DONE< compute expectation while decision making and take the one with the highest exp(), check against decision threshold! >

// TODO< compute table of exponential intervals! >

// TODO< compute anticipation deadline >

PtrMan

print("*motorbabbling=false")

#encode a field as a term
def encField(y,x):
    name = str(y)+"Y"+str(x)
    return "<f"+name+" --> F"+name+">"

# encode maze
for ix in range(10):
    for iy in range(10):

PtrMan

#![allow(non_snake_case)]

extern crate rand;

use std::default::Default;

use rand::Rng;
use rand::distributions::{Normal, Distribution};

// automatic differentiation