- If you’re looking for a clear, detailed and timely guide to how artificial intelligence is reshaping global power, this new book is an essential read.
- Empire of AI examines how Silicon Valley tech entrepreneurs have marshalled state resources, talent, data, and industry to become a major force in artificial intelligence. Karen Hao, an experienced AI journalist and former MIT Technology Review reporter, traces the history, institutions, and people behind the AI push. She explores the interplay between government strategy, private companies, academic labs, and everyday uses of AI like surveillance and social management. The book is part reportage, part policy analysis, and part ethical inquiry into what concentrated AI power means for democracy, security, and human rights. [This para was written by AI, which is why it's so flat and boring!]
- The book is a fascinating and very clearly written story about the beginnings of AI and its development over the last decade. Sam Altman is central to the drama. He is a brilliant entrepreneur with deep connections to billionaires like Bill Gates and Elon Musk. Over the last ten years he has assembled a small group of computer programming geniuses and other heavyweights in Silicon Valley. He founded OpenAI in 2015 to compete with Google Search, and was able to source huge funding from Microsoft particularly.
- Altman's ambition from the start was to purchase a huge number of computer chips from Nvidia and build massive data mining operations. He viewed this data consumption as absolutely essential, not just to build a new business, but to position AI as a groundbreaking service to humanity. It was to be a check against purely market forces. That early and noble ambition of course turned out very quickly to be complete nonsense. Hao was given unparalleled access to the management and staff of OpenAI, and also its Board members. She discloses the truth and doesn't hold back.
- The essence of this massively disruptive sector is that it requires an unprecedented amount of proprietary resources: the 'compute' power of scarce high-end chips, the sheer volume of data that needs to be amassed at scale, the humans on the ground 'cleaning it up' for sweatshop wages throughout the Global South, and a truly alarming spike in the need for energy and water underlying everything.
- Hao also explores very personal details about Altman and his family, and his peculiar management style. He was considered untrustworthy and deceptive by key staff and board members.
- What I really enjoyed about the book was the intricate way Hao delves deep into how data is amassed on such a huge scale, of course without permission. Then tested and refined by heaps of poorly paid staff from third world countries, many of whom could barely speak English.
- I learnt so much from this book. It's totally absorbing. And so well written and edited. There's not one editorial mistake in the whole 482 pages. Congratulations Penguin.
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