Read List
A list of links to various interesting ressources I wished to share on the internet !
March 2024
Some article I really enjoyed, sorted by “week” for now, with hopefully some tagging / sorting / searching coming up !
16-09-2024
How we trick ourselves into not progressing towards our goals: Do the real thing.
Super fun post full of anecdotes: Ugliest beautiful codebase.
09-09-2024
On Consitency vs Intensity. And how consistency is not enough.
You don’t need discipline. Caring more than other is the same.
02-09-2024
Two great questions, and some help to maybe find part of their answers: A life well lived.
Information, influence and social media: An argument for logging off.
Clip path explanations && showcases: The magic of clip path.
Social media && attention: How I got my attention back.
26-08-2024
On becoming competitive when joining a new company
Really good mindset: You Are NOT Dumb, You Just Lack the Prerequisites
12-08-2024
Some advices: Advice to the young.
Writing strategy: How I write.
29-07-2024
List of The basics. Really good things not shared enough.
15-07-2024
22-05-2024
Short analogy to grow as a software engineer: From any spot on the field
So you want to make a game engine
When the vision isn’t manifesting
15-04-2024
If this one guy got hit by a bus the world software would fall apartutm_campaign=the-bird-a-nest-the-spider-a-web-man-friendship
Go deploy your stuff: WIP is Waste
01-04-2024
How to not be stupid. It’s super super insightful.
Try hard and Are you serious? about what could happen if you tried hard.
So you sucks, now what? in how to handle failure.
Two frontends posts about css :
11-03-2024
Second part of the intro to neural nets. Step two: build a model that generate name from bigrams https://www.youtube.com/watch?v=PaCmpygFfXo
Third part of the intro to neural nets. Step three: multilayer perceptron https://www.youtube.com/watch?v=TCH_1BHY58I
These 4 posts about the history of AI, mentioning how Neural networks works and how Symbolic AI works as well:
- https://divis.io/en/2019/03/ai-for-laymen-part-1-what-is-ai/
- https://divis.io/en/2019/03/ai-for-laymen-part-2-symbolic-ai-neural-networks-and-deep-learning/
- https://divis.io/en/2019/04/understanding-ai-part-3-methods-of-symbolic-ai/
- https://divis.io/en/2019/04/understanding-ai-part-4-the-basics-of-machine-learning/
04-03-2024
State machines && databases: https://blog.lawrencejones.dev/state-machines/
Golang used to monitor insulin needs: https://www.bytesizego.com/blog/keeping-alive-with-go
26-02-2024
Programming concepts explained via vizualistion:
Some thoughts on being able to give concise explanations: https://stephango.com/concise
And on the ephemerality of software: https://stephango.com/file-over-app
Quizz, do you know how fast comouters are ? https://computers-are-fast.github.io
18-02-2024
On media, statistics and anecdotes: https://gwern.net/littlewood
“At scale, anything that can happen will happen a small but nonzero times.”
Intro to neural nets, step one: micrograd. Some maths, but everything is well explained ! https://www.youtube.com/watch?v=VMj-3S1tku0