The World’s Most Important Machine, by Veritasium
A great entry point to try and wrap your head around the unbelievably complex machinery behind the EUV machines.
How to do the Most Good, The Ezra Klein Show
Is ‘merely’ a revolution, or is AI qualitatively different than previous revolutions? How does the emergence of AI change the way in which we think about meta-ethics?
But What is a Neural Network? By 3Blue1Brown
Conceptual introduction into the key technical concepts involved in AI and its use.
How The Inflation Reduction Act Changed the World, by the Financial Times
What policies do governments use to drive technological innovation, and how do non-state actors like Big Tech operate in a geopolitical paradigm that is state driven?
GPU vs CPU Demonstration, by the Mythbusters and Nvidia
Visual demonstration of the difference between GPU and CPU computation. This is what unleashed the current AI revolution.
Hard Fork Podcast, the New York Times
Probably the best way to stay up-to-date on the latest twists and turns in the AI landscape without having to read!
The AI Paradox, by Virginia Dignum
A governance-first account from within the responsible-AI field that treats AI as power to be governed rather than merely a product to be regulated, cutting through hype in both directions.
The Kill Chain, by Christian Brose
Examines how the future of warfare will be driven by technological integration.
The Technological Republic, by Alexander Karp & Nicholas Zamiska
A frontal attack on Western culture as complacent, intellectually frail, and lacking decisive leadership. The book underlines the messianic argument made by technology elites in propagating their own vision of the future.
What We Owe the Future, by William MacAskill
A central statement of longtermism and the idea that safeguarding civilisation’s long-run future should shape decisions made in the present.
If Anyone Builds It, Everyone Dies, by Eliezer Yudkowsky & Nate Soares
Takes the argument of AI doomers to its full extent. It is emblematic of both the content and style of the existential-risk faction in Silicon Valley.
The Alignment Problem, by Brian Christian
An early major formulation of the alignment problem and the connection between technical and moral questions. Because it was written before the large-language-model revolution, it focuses on more conventional AI systems.
Atlas of AI, by Kate Crawford
Reframes AI as an extractive industry that mines people, labour, and water while increasing carbon emissions. Those costs are not shared equally.
Race After Technology, by Ruha Benjamin
Takes the recognition that AI is racist and perpetuates injustice to its logical endpoint: how should we resist technology and abolish tools of algorithmic repression?
Empire of AI, by Karen Hao
Lifts the curtain on how the inner workings of OpenAI have led to an AI arms race. It highlights the enormous environmental, human, and data requirements of training AI.
What Is ChatGPT Doing … and Why Does It Work? by Stephen Wolfram
A technical account of modern transformers. It avoids most mathematics, but gives an in-depth explanation of the inner operations of chatbots.
Artificial Intelligence: A Guide for Thinking Humans, by Melanie Mitchell
An accessible introduction to artificial intelligence that explains what current systems can do, where they fail, and why intelligence remains difficult to define.