Here you find my reading log consisting of articles, papers, books, websites,
or any other kind of resource I enjoyed or saved here for later.
If you have recommendations, remarks about broken links or anything else,
feel free to reach out!
Last update: March 04, 2021
Gigerenzer’s simple rules
https://www.foundingfuel.com/article/gigerenzers-s...
Unholy Unions
https://speculations.substack.com/p/unholy-unions
A Crash Course for Your First Job in Software
https://stackoverflow.blog/2019/09/05/they-didnt-t...
Mistaken
https://aeon.co/essays/i-think-therefore-i-make-mi...
English is not normal
https://aeon.co/essays/why-is-english-so-weirdly-d...
Clojure Distilled
https://yogthos.net/ClojureDistilled.html
Programming
Paul Graham - How to write usefully
http://paulgraham.com/useful.html
Mary Dash’s Writing Tips
https://plainlanguage.gov/resources/articles/dash-...
Tyler Hobbs - Flow Fields
https://tylerxhobbs.com/essays/2020/flow-fields
Generative Art
Generative Adversarial Networks - The Story So Far
https://blog.floydhub.com/gans-story-so-far/
On Generative Algorithms
https://inconvergent.net/generative/
Generative Art
Rules of thumb for a 1x developer
https://muldoon.cloud/programming/2020/04/17/progr...
Visual Information Theory
http://colah.github.io/posts/2015-09-Visual-Inform...
A Hackers Guide To Job Hunting
https://justjake.substack.com/p/a-hackers-guide-to...
50 ideas that changed my life
https://www.perell.com/blog/50-ideas-that-changed-...
Modeling the Human Trajectory
https://www.openphilanthropy.org/blog/modeling-hum...
A (Long) Peek into Reinforcement Learning
https://lilianweng.github.io/lil-log/2018/02/19/a-...
The State of Transfer Learning in NLP
https://ruder.io/state-of-transfer-learning-in-nlp...
Unsupervised Keyphrase Extraction
https://amitness.com/keyphrase-extraction/
Data Compression Explained
http://mattmahoney.net/dc/dce.html
How to be resilient
https://psyche.co/guides/resilience-is-like-a-musc...
How to Make Your Code Reviewer Fall in Love with You
https://mtlynch.io/code-review-love/
My Engineering Axioms
https://martinrue.com/my-engineering-axioms/
Attention Is All You Need
https://arxiv.org/abs/1706.03762
The Hardware Lottery
https://arxiv.org/abs/2009.06489
Pitfalls to Avoid when Interpreting Machine Learning Models
https://arxiv.org/pdf/2007.04131.pdf
Language Models are Few-Shot Learners
https://arxiv.org/pdf/2005.14165.pdf
Hopfield Networks is All You Need
https://arxiv.org/pdf/2008.02217.pdf
explained.ai
https://explained.ai
Python Design Patterns
https://python-patterns.guide
Generated Space
https://generated.space
Generative Art
Generative Artistry
https://generativeartistry.com
Generative Art
colah.github.io
http://colah.github.io
jalammar.github.io
https://jalammar.github.io
spinningup.openai.com
https://spinningup.openai.com/
readings.design
https://readings.design
Lex Fridman Library
https://lexfridmanlibrary.com
Forecasting: Principles and Practice
https://otexts.com/fpp2/
Clojure By Example
http://kimh.github.io/clojure-by-example/