My 30 best Twitter threads
Covering from machine learning and CS theory to philosophy, writing, and more.
Not too long ago, there was a time when Twitter was the best place online to connect with like-minded people and learn from each other. I grew up, intellectually, in that environment, and into the now-forgotten tradition of sharing long threads on technical topics. That was my first encounter with technical writing beyond academia, and I loved it while it lasted. It was also where I made most of my online friends, who are now avid readers of this substack, as I’m of theirs.
So, yes, I’m feeling a bit nostalgic, partly because it seems those days are gone and may never return. Maybe a bit over my head as well. In any case, in celebration of the great old tech Twitter, it’s my pleasure to share with you what I consider my best technical threads. I’ve grouped them into categories for easier browsing, and sorted them more or less in the order I believe it’s most informative if you’re getting started with some of these topics.
A small caveat before moving on. These Twitter threads are, by their very nature, broad and superficial, in some sense the epitome of canned content. Please take them as nothing but a motivational intro to their respective topics, and don’t hesitate to dig further.
On Machine Learning
This list of short threads introduces the most relevant concepts in machine learning. They are meant to be read in order and cover the most basic ideas, from what is machine learning problem to different modeling paradigms and how to evaluate them.
And these are four introductory threads to other relevant machine-learning topics. These don’t have a specific order.
On Computer Science Theory
These are 5 related but separate threads on some fundamental aspects of Computer Science theory.
On the Philosophy of Computer Science
These are my favorite threads of all time. They touch on specific philosophical questions always from a computational perspective.
On Technical Writing (and other stuff)
And these are threads on practical matters for researchers and students, mostly focusing on technical writing but also touching on related topics.
Many of these threads are initial drafts for longer posts I’ll write in the following months. If there is one in specific you’d like me to prioritize, please let me know in the comments. I hope you find them all useful, or at least as fun to read as it was for me to write them.