Reading Updated continually

Library, curriculum, interests

Reading

What is on the desk, what I am studying, and what I keep returning to.

Currently reading

On the desk

Now reading

The Scaling Era · Dwarkesh Patel

A first-hand chronicle of the people, decisions, and capital flowing into frontier AI. Reading slowly because the bibliography is half the value.

2026

Curriculum

7 active subjects

  1. 01

    Agentic AI

    Orchestration patterns, tool use, evaluation, failure modes.

  2. 02

    AI Use Cases

    A working catalogue of where this is actually deployed and what it took.

  3. 03

    CS Fundamentals

    Data structures, algorithms, complexity, the parts of theory that compound.

  4. 04

    Data Engineering

    Ingestion, warehousing, lineage, quality.

  5. 05

    Production ML & MLOps

    Serving, monitoring, drift, retraining, the full lifecycle.

  6. 06

    Quantitative Finance

    Signal construction, factor research, backtesting, risk.

  7. 07

    System Design

    Large-scale architecture and the FAANG-shaped interview surface.

Reviewed

4 entries

Book review

Designing Machine Learning Systems

Chip Huyen · 2022

★★★★★

The closest thing the field has to a standard text on production ML. Returns are diminishing on the second pass; gains are non-zero on the third.

Production ML ·MLOps

Book review

The Hard Thing About Hard Things

Ben Horowitz · 2014

★★★★☆

A practical companion for the parts of building things nobody wants to talk about: layoffs, founder-CEO transitions, the wartime mindset. Periodically dated, mostly not.

Founding ·Operating

Book review

Working in Public

Nadia Eghbal · 2020

★★★★☆

The economics and social dynamics of open-source maintainership, written with unusual care. Has aged remarkably well.

Open source ·Software economics

Book review

Why Machines Learn

Anil Ananthaswamy · 2024

★★★★☆

A historical-mathematical tour of the ideas behind modern machine learning, traced through the people who developed them. Read and enjoyed in 2025; a longer take to follow.

Machine learning ·History of ideas

Lectures francophones

En français · pour entretenir

  1. Capital et Idéologie

    Thomas Piketty · 2019

    Sur la liste de lecture en cours sur les inégalités de richesse. Lecture lente, en français pour entretenir la langue et parce que la traduction perd quelque chose.

  2. L'Élégance du hérisson

    Muriel Barbery · 2006

    Roman. Relu pour le plaisir et pour le vocabulaire.

Subjects of standing interest

Long-running

  • Wealth inequality and social mobility
  • Education and how people actually learn
  • AI safety and the deployment gap
  • Geopolitics and geography
  • Macroeconomics and monetary policy
  • Sport (football, cricket, long-distance running)
  • British comedy: panel shows, stand-up, the long-form podcast era