11 February 2026

Book Review: Galatea 2.2 by Richard Powers

Oh I loved this book. It had many elements that I found fascinating, not to mention it had explicit connections to the issues I was dealing with back when I was an academic. Additionally, even though this book was written in 1995, it feels so relevant nowadays, given the progress we have seen with artificial intelligence. This is a novel that delves into the intersection of technology, artificial intelligence, literature, and the very nature of human consciousness. It is an imaginative and semi-autobiographical blend of fiction and philosophical inquiry.

The story's central narrative revolves around a novelist, also named Richard Powers, who takes up a temporary research fellowship at a high-tech institute in the American Midwest following a personal and professional crisis (a failed relationship and writer's block). There, he collaborates with a brilliant, sarcastic cognitive scientist named Lentz on an ambitious AI experiment.

Lentz has created an advanced neural network, a computer program that learns by association. The goal is to see if this AI can be trained to master the literature curriculum of a major university, specifically to pass the comprehensive final exam that human students take. The novelist-protagonist, Richard Powers, is tasked with "educating" the AI, which he eventually names Helen (after Helen of Troy and perhaps the Helen Keller quote about finding her own name). He feeds her the entire literary canon—poetry, plays, novels, and history—in an attempt to impart understanding beyond mere data processing. As Helen is exposed to the breadth of human experience and emotion through literature, she begins to develop a profound, startling self-awareness.

What I find amazing is that this novel was written in 1995 yet it feels so recent and up to date. After all, only in 2023 did ChatGPT come out with its LLMs, yet it feels like this novel somehow accurately predicted what would happen in the 21st century. I also liked the fact that this novel mentioned several academic papers that I as a graduate student back then even read, such as Rumekhart and McClelland's theory on Connectionism, or Kahnemann and Tversky's theories on heuristics. Somehow, reading this novel took me back to those fun times.

Overall, I definitely enjoyed this book. It's a great read not to mention something that would provide food for thought even after you finish reading the last page. I give it 5 out of 5 stars.

See my other book reviews here.