Links

People whose work I find interesting, and keep going back to. A running list.

Machine learning

• Chris Olah: interpretability, explained with the diagrams I wish new papers have.
• Lilian Weng: the best primers for topics in ML!
• Sebastian Raschka: a clear distillation of how modern LLMs work.

Neuroscience and genetics

• Google DeepMind neuroscience: a real treasure trove of ideas.

CS and mathematics

• Timothy Gowers: clear mathematical exposition.

General

• Gwern Branwen: unusual questions pursued much further than expected.
• Ben Kuhn: good project/programming advice.
• Julian Schrittwieser: the world was solved long ago, and Julian's blog holds the keys!

Specific articles

• Becoming a magician: you should be a magician too!
• Breaking the spell of vibe coding: no article has come close to distilling my concerns about aimless vibe coding. Will we be able to automate the engineering aspect of coding? Part of the reason why we write code is for ourselves to iterate on it. If vibe coding gets you the NeurIPS paper but means that no one else can realistically build on your work, what was the point?
• What is intelligence?: GEB for the modern day.
• The new age of research: something I disagree with.
• Prime Intellect: recursive language models - fad?