Supremacy: AI, ChatGPT, and the Race that Will Change the World

Wow, this was an absolute ride through the halls of Silicon Valley power. Parmy Olson does a masterclass job of humanizing the rivalry between Sam Altman and Demis Hassabis, showing how their high-minded ideals eventually collided with the reality of corporate greed. I was particularly gripped by the sections detailing how DeepMind almost became a separate entity before Google pulled the leash tight. The level of research is astounding, even if some of the 'sources close to the matter' remain anonymous for obvious reasons. It reads like a high-stakes thriller rather than a dry tech manual, which made it impossible to put down. If you want to understand why our current AI landscape looks the way it does, start here. It is easily one of the most informative books I’ve picked up this year.

This book is basically a dual biography of Altman and Hassabis disguised as a tech history, and it works brilliantly. Olson captures the messianic delusions of these tech tycoons perfectly, showing how they rationalized taking billions from Big Tech in the name of 'saving humanity.' The narrative flows quickly and keeps you engaged with anecdotes about poker games at Stanford and late-night negotiations with Satya Nadella. I found the section on the 'ethics boards' particularly revealing—it's a classic tale of corporate interests steamrolling any attempt at actual oversight. Even though it's a non-fiction book, I felt a genuine sense of dread reading about how our data from Reddit and Quora is being used to train these models. It is a brilliant piece of investigative journalism that everyone should read.

Picked this up on a whim and was immediately sucked into the high-stakes narrative of the Silicon Valley arms race. The way Olson describes the transition from academic research to multi-billion dollar corporate warfare is both fascinating and deeply unsettling. I had no idea how much influence a small group of investors had on the direction of General Artificial Intelligence. The writing is snappy and the pacing is excellent, making complex topics like deep learning feel accessible to a layperson. Even the parts about the board room drama at OpenAI, which I thought I knew well, had fresh details that surprised me. It's an essential read for anyone worried about the concentration of power in the tech industry. I can't recommend it enough for its clarity and depth.

Ever wonder how we ended up with chatbots that sound like humans but act like profit-driven drones? Olson provides a sobering answer by tracing the path from altruistic non-profits to the massive monopolies of Microsoft and Google. To be fair, I found the technical explanations of transformers a bit light, but the personality studies of figures like Elon Musk and Peter Thiel were fascinatingly grim. The book successfully argues that the 'AI apocalypse' talk is often just a shiny distraction from real-world issues like bias and labor exploitation. My only real complaint is that the writing can feel slightly repetitive toward the middle chapters. However, the historical context regarding the 2010s AI winter is worth the price of admission alone. It’s a necessary reality check for anyone drinking the Silicon Valley Kool-Aid.

As someone who follows tech news loosely, I found the deep dive into the early days of Y Combinator and DeepMind’s chess-playing origins surprisingly illuminating. The author manages to weave together years of journalistic reporting into a cohesive narrative that explains the current arms race perfectly. I appreciated the specific details about how OpenAI was forced to pivot toward Microsoft just to afford the massive computing power required for GPT-4. Look, the book isn't perfect; some of the chapter endings feel like unnecessary cliffhangers designed for a serial magazine rather than a biography. But the core message about how few people actually control this technology is terrifying and needs to be heard. It’s well-written and serves as a great introduction to the ethics of modern computing.

Frankly, the most terrifying part of this book isn't the AI itself, but the egos of the men holding the steering wheel. Olson does a great job illustrating how Sam Altman’s background in venture capital shaped OpenAI into something much more aggressive than its founders originally intended. I loved the technical history of how Google accidentally invented the very tech that Microsoft ended up using to beat them. The irony of the 'innovator's dilemma' playing out in real-time is captured with sharp, clear prose. While I agree with other reviewers that the book is a bit male-heavy, that’s more a reflection of the industry than the author’s bias. It’s a solid, well-researched look at the power players of our era. Definitely worth a read for the historical context.

After hearing so much about ChatGPT, I wanted a book that would explain the 'how' and 'why' without being too academic. Supremacy hits that sweet spot of being approachable while still feeling deeply researched and authoritative. The stories about Demis Hassabis's background in game design and chess were particularly interesting to me as they explain his approach to 'solving' intelligence. It’s worrying to see how quickly these companies abandoned their safety goals once the scent of profit was in the air. I do wish there was more focus on the actual workers training these models in the Global South, as that felt like a missed opportunity for a truly comprehensive look. Still, the book is a page-turner and gave me a lot to think about regarding our digital future.

The chapter on the founding of OpenAI really highlights the clash between utopian dreams and the hard reality of the almighty dollar. While I found the history of the 'Attention Is All You Need' paper interesting, I felt like the book spent too much time on personality drama and not enough on global implications. Frankly, it felt like a collection of long-form essays stitched together, leading to a lot of repeated information that could have been edited down. I was hoping for more insight into how AI is affecting countries outside of the US and UK, but the focus remains very Western-centric. It’s a decent summary of the last decade in tech, but if you’ve been keeping up with the news, you might not find much that is truly groundbreaking. It’s informative but occasionally feels stretched thin.

Not what I expected in terms of technical depth, as it focuses much more on the business maneuvers than the actual code or mechanics of AI. The author clearly knows her stuff, but the book suffers from a bit of an identity crisis between being a business biography and a cautionary tale. I found the sections on the training data—specifically the use of biased platforms like Reddit—to be the most important part of the book. However, the tone can be a bit cynical at times, which makes the reading experience feel somewhat heavy and depressing. To be fair, the subject matter isn't exactly cheery, but the repetitive structure made it feel like a bit of a slog by the end. It's a good primer, but maybe not the definitive word on the subject.

Finally got around to reading this after seeing it won the FT Business Book of the Year, but I was honestly disappointed. The book feels 100 pages too long because the author constantly repeats the same points about the rivalry and the lack of ethics. If you've read a few long-form articles in the New York Times or Wired over the last three years, you already know 90% of what's in here. The writing style is very 'journalistic' in a way that feels shallow, relying on vague quotes and dramatic flourishes that don't add much substance. I wanted a deeper analysis of the technology itself, but instead, I got a lot of gossip about who was mad at whom in Silicon Valley. It’s fine for a plane ride, but it didn't live up to the massive hype for me.