Overview of my Projects
2017 2017Ray Raytracer
PtrMan PtrMan
PtrMan
/ 0000.txt
Last active
November 24, 2022 12:54
LLM experiments: BLOOM https://huggingface.co/spaces/huggingface/bloom_demo
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| Q:what is a XULLUUU? | |
| A:NONE | |
| Q:what is an elephant? | |
| A:an elephant is a mammel. CONFIDENT | |
| Q:can birds fly into space? Why? | |
| A:no, because air doesn't exist in space. CONFIDENT | |
| Q:can ants fly? | |
| A: |
PtrMan
/ A stable diffusion prompts.txt
Last active
December 19, 2025 13:43
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| !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
/ web log.txt
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December 1, 2025 05:12
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| 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 |
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| from MiniClasses import * | |
| class Classifier: | |
| def __init__(self): | |
| pass | |
| def classifySentence(self, Sentence): | |
| i = 0 | |
PtrMan
/ projects.md
Last active
April 15, 2021 13:06
PtrMan
/ cc0 sound library.md
Last active
January 5, 2026 09:23
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.
String
PtrMan
/ free ML books.md
Last active
March 1, 2026 17:15
This is a collection of free e-books about Artificial Intelligence(Machine Learning, Planning) and Data Science etc. .
ML, ebook, ebooks, books, book, machine learning, statistics, free
Machine Learning Systems - Principles and Practices of Engineering Artificially Intelligent Systems
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| 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 > |
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| 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): |