This is a growing list of things I’ve read or am currently reading, ranging from technical papers to general-interest articles. It’s meant to serve as a personal archive, but others might find it useful too.

📚 Books I’ve Read

Back in high school and college, I was an avid reader. But when COVID hit, my reading habit took a back seat. Counterintuitive, right? You’d think I’d have read more, not less. But that’s how it went down.
Fast forward to 2024, and I’m on a mission to get back into reading. Here’s a quick look at where I stand now.

2024

• Why Nations Fail – Daron Acemoglu & James A. Robinson
• The Selfish Gene – Richard Dawkins
• Chander Pahar – Bibhutibhushan Bandyopadhyay
• The Problems of Philosophy – Bertrand Russell
• Philosophy of Mind: Brain, Consciousness and Thinking Machines – Patrick Grim
• On the Shortness of Life – Seneca
• Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are – Seth Stephens-Davidowitz
• The Richest Man in Babylon – George S. Clason
• Who Rules the World? – Noam Chomsky
• Man Alone with Himself – Friedrich Nietzsche

2023

• Good Economics for Hard Times – Abhijit Banerjee and Esther Duflo
• What Kind of Creatures Are We? – Noam Chomsky

📄 Technical Papers & Articles

2024

• A Philosophy of Software Design – John Ousterhout
• Why Software Is Eating The World – Marc Andreessen
• The Tail at Scale – Dean et al.
• The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence – Amodei et al.
• Understanding Deep Learning Requires Rethinking Generalization – Zhang et al.

2023

• Attention is All You Need – Vaswani et al.
• Distilling the Knowledge in a Neural Network – Hinton et al.
• The Hardware Lottery – Sara Hooker
• The Bitter Lesson – Rich Sutton

2022

• Dynamical Systems in Neuroscience – Eugene M. Izhikevich (selected chapters)
• What is the difference between a model and a theory? – Daniel Little

I’ll continue updating this as I read more.