Books 2026

Books, videos (and long articles) I am reading / watching in 2026:

Ananthaswamy, Anil. Why Machines Learn: The Elegant Math Behind Modern AI (2024)
Backman, Fredrik. A Man Called Ove (2014)
Bennett, Max. A Brief History of Intelligence: Why the Evolution of the Brain Holds the Key to the Future of AI (2023)
Boldizar, Alexander. The Man who saw Seconds (2024)
Brooks, Rodney. Predictions Scorecard, 2026 January 01
Brooks, Rodney. Why Today’s Humanoids Won’t Learn Dexterity (September 2025)
Brooks, Rodney. Intelligence without Reason (1991)
Brooks, Rodney. Elephants Don't Play Chess (1990)
Curry, Judith. Climate Uncertainty and Risk (2023)
Dennett, Daniel. Intuition Pumps and other Tools for Thinking (2013)
Disher, Garry. The Divine Wind (1998)
Eisenberg, David. SVG Essentials. (2002)
Epstein, Alex. Fossil Future (2022)
Goldstein, Rebecca. The Mattering Instinct (2016)
Haverbeke, Marijn. Eloquent JavaScript (Fourth Edition). (2024)
Holson, Benjie. Benjie's Humanoid Olympic Games (September 2025)
Lawhon, Ariel. The Frozen River (2024)
Mearsheimer, John J. The Darkness Ahead: Where The Ukraine War Is Headed (June, 2023)
Mesbahi, Farzed. Abundance or Collapse (2026)
McKinney, Wes. Python for Data Analysis, 3E (2022-23)
North, Claire. Slow Gods (2025)
Pfarrer, Chuck and Brewer, Alan. Indications and Warnings | Day 1418 | Putin's Dubious Milestone (Jan 14, 2026)
Robinson, Kim Stanley. Blue Mars (2009)
Rowson, Jonathan. Understanding the Grünfeld (1998)
Schoch, Richard. The Secrets of Happiness (2006)
Seth, Anil. Being You: A New Science of Consciousness (2021)
Stewart, James. Calculus Fourth Edition (1999)
Trask, Andrew. Grokking Deep Learning (2019)
Whitehead, Colson. Underground Railroad (2016)
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Deep Learning (2015)
CODING
Plotly Open Source Graphing Library for Python
Di Méo, Grace. Creating Interactive Visualizations with Plotly
kaizenkode, Python Programming Projects for Beginners (2026)
seaborn
pandas
matplotlib
NumPy: the absolute basics for beginners
Python NumPy For Your Grandma by Ben Gorman
NumPy tutorials
Machine Learning Crash Course

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