Origin


Reading Time: 2 minutes

Origin by Dan Brown

Overview and Pacing

This is the fifth book in the Robert Langdon series, and yes—we’re back to the fast pace that makes your heart race. Honestly, this one gave me a bit of the willies. The eccentric futurist Edmond Kirsch instantly made me think of Elon Musk (if Musk had a flair for dramatic museum presentations). The book delves into modern technology—AI, supercomputers, and futurism—that in 2017 felt fringe but now feels eerily mainstream. That tells me Dan Brown had some advanced inquiry going on.

The pacing is classic Brown: relentless. We’re back in Europe, this time in Spain, and the novel stays true to form with its mix of symbols, history, and religion. What’s new is how seamlessly technology is woven into the narrative, forcing us to consider what faith and science mean in the same breath. I was hooked within the first five pages.

Character Depth and Narrative Focus

Small spoiler alert: one of the most intriguing characters dies very early. Oddly enough, that death adds depth because the ripple effects drive the story forward. With the AI element, you’ll find yourself guessing, “Oh, I bet it’s this,” only to be wrong—repeatedly. Brown loves to trick us, and here he does it with at least four or five richly detailed characters whose roles shift as the plot unfolds.

Unlike earlier novels, where characters felt locked into their archetypes, here they move between opposing agendas. It keeps you questioning loyalties and motives, which makes the narrative flow unpredictable and engaging.

Plot, Setting, and Historical Integration

As always, Brown tackles the divine and the spiritual—but this time, the story evolves differently. It’s not just about solving a crime; it’s about helping (or hindering) the outcome of a revelation that could shake the foundations of religion and science. Depending on your perspective, there’s a second protagonist alongside Langdon—or perhaps the worst antagonist. That ambiguity gives the book a fresh flow compared to earlier entries.

One of the best features of the series remains intact: even though it’s fiction, the places, art, and symbols are real. From the Guggenheim in Bilbao to Gaudí’s Sagrada Família in Barcelona, you can actually look them up, visit them, and learn something beyond the story. It’s like a travel guide wrapped in a thriller.

Series Connections and Thematic Analysis

This novel leans heavily into technology, weaving it into modern symbols and religion. That combination makes it thought‑provoking and timely. What’s striking is that Brown wrote about concepts—AI assistants, futurist predictions, ethical dilemmas—five or six years before they became mainstream.

Like Inferno, Origin pushes us to consider ethical boundaries: where do we draw the line between advancement and “holy shit, let’s not go there”? It’s thrilling, unsettling, and oddly prescient.

You will love Winston…..

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Comments

5 responses to “Origin”

  1. That sounds like a very interesting and fun book. The plot seems to be full of action, surprises and mystery. Edmond Kirsch sounds like a very interesting character. Regarding AI and supercomputers, I should mention that it has been around a long time and what is happening now was anticipated long before Dan Brown wrote this book (well maybe not exatcly the way it happened). Primitive AI assistants existed already in the 1950’s (Audrey 1952) and AI assistants such as Siri and Alexa existed in the 2010’s. I was working on developing AI in the 1990’s and I have been using AI in my work for almost 40 years and supercomputers have been around for 60 years. It has been a hot topic among computer engineers for decades. Dan Brown is a great author but he probably just consulted the existing AI literature when writing the book. But I did not read the book so I don’t know. He is in any case a great author.

    You wrote a very interesting and inspiring review.

    1. Thanks I did not know AI has been around that long. I knew Grammarly was and I used that about 5 years ago. I retired from the tech field after 40 years but mostly in the financial sector so it was not talked about much up to my last year and now it is all AI talk and implementation. It is very cool. Loved the way he used Winston in the book. Thanks for the comment.

      1. Thank you Kevin. I’ve seen the movies but one day I am going to read the books too.

        I should say that neural networks (very common AI) has come a long way. At the end of the 1980’s / beginning of 1990’s I created neural networks with one hidden layer, maybe 50 neurons and a few hundred weights (parameters). I was a student but that was the typical back then. ChatGPT 3.5 has 96 layers and 175 billion parameters (weights). ChatGPT 4.0 numbers are secret but people believe it has around 120 hidden layers and the parameters are 1.8 trillion.

      2. when you say 50 neurons is that the number of systems linked together or the number of cpu/gpu I find this stuff very interesting. Thanks

      3. In my case it was just software programs with neurons represented as functions. However, I’ve read about using CPUs as neurons, but I think that it was more common to use field programmable gate arrays, so you didn’t need an entire CPU for a neuron. I used and helped design field programmable gate arrays at my first job as an electrical engineer at Ericson. It was for a Swedish military airplane called JAS Gripen, but it was not a neural network. However, at the time neural networks were not the dominant approach to AI it was search trees and I used that more.

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