Bookshelf
The Big Score: The Billion Dollar Story of Silicon Valley
[The Art of Doing Science and Engineering] - 2020 Edition: Learning to Learn - 2020, Paperback Edition
Cards on the Table (Hercule Poirot, #15)
Thinking In Systems: A Primer
The Martian
Brave New World by Aldous Huxley: A Visionary Dystopian Novel of a Controlled Society
Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones
The Last Lecture
At the Edge of Time: Exploring the Mysteries of Our Universe’s First Seconds (Science Essentials Book 32)
Build: An Unorthodox Guide to Making Things Worth Making
The Seven Moons of Maali Almeida
Kafka on the Shore
1984
How to Win Friends and Influence People: Updated For the Next Generation of Leaders (Dale Carnegie Books)
Animal Farm
Shoe Dog
The Defining Decade: Why Your Twenties Matter—And How to Make the Most of Them Now
Smaller and Smaller Circles
Project Hail Mary
Originals: How Non-Conformists Move the World
Essays
Do things that don't scale

Paul Graham

Idea Generation

Sam Altman

How to be Successful

Sam Altman

Economic Inequality

Paul Graham

How to do Great Work

Paul Graham

When to do What You Love

Paul Graham

The Friendship That Made Google Huge

James Somers

You and Your Research

Richard Hamming

Papers
1/10
Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing

Ye et al., 2025

ReFT: Reasoning with Reinforced Fine-Tuning

Luong et al., 2024

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Chu et al., 2025

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

DeepSeek-AI et al., 2025

Large Concept Models: Language Modeling in a Sentence Representation Space

Meta, 2024

Training Large Language Models to Reason in a Continuous Latent Space

Hao et al., 2024

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Frankle and Carbin, 2019

Star Attention: Efficient LLM Inference over Long Sequences

Acharya et al., 2024

100M Token Context Windows — Magic

Magic, 2024

Introducing Contextual Retrieval

Anthropic, 2024