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Field Notes on Queen Rearing by Oliver FieldThis is an updated edition of the talk given by Oliver Field to the Scottish Beekeepers Association in 1998. This new version includes colour pictures, a bee breeding chart and a chapter on Current Reflections. Oliver Field was a giant of Bee Farming, having acted as such for over thirty years. His other books include Honey By the Ton and Honey Days. 10% OFF FOR IBRA MEMBERS View all IBRA discount titles HERE
This is an updated edition of the talk given by Oliver Field to the Scottish Beekeepers Association in 1998. This new version includes colour pictures, a bee breeding chart and a chapter on ‘Current Reflections’. Oliver Field was a giant of Bee Farming, having acted as such for over thirty years. His other books include Honey By the Ton and Honey Days.
10% OFF FOR IBRA MEMBERS View all IBRA discount titles HERE
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4.1 ★★★★★
Based on 168 reviews
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Product Reviews
★★★★★ 5
I wish Americans could read Kate Crawford’s book
Format: Kindle
It is a sad bit of irony that the “information revolution” has created a society in which the vast majority of Americans don’t know where their food or water come from. “I don’t get all this talk about drought. You just turn on the faucet and get all the water you want.” It’s no wonder that we’ve created an entire generation of Americans who have no idea where their computing resources come from. “I don’t get all this ‘cost of AI’ talk. ChatGPT is free. Just open your iphone and it will answer any question you have.” While Crawford’s Atlas of AI is a bit sesquipedalian, it is a comprehensive, well-organized, impeccably researched story of where all our miraculous computing power actually comes from. For all the Doomer talk of AI someday making humans extinct, Crawford shows that the way the most powerful American corporations are implementing AI is ALREADY causing vast harm to humans globally, and it will only continue to get worse. Not from some mythical science fiction robot suddenly becoming smarter than people, but from mass ignorance of the slow but steady human-driven global natural resource depletion and exploitation of the most vulnerable people. It’s doubly sad that our polarized culture war politics prevents most Americans from asking the critical questions that Crawford explores in her journey through the landscape of AI creation and production. This book is neither Marxist nor anti-capitalist. It simply argues that, just like there are better ways of managing our water and food resources, there is a better way to manage our computing resources—the first step being a common understanding that there is a natural resource and human cost to every floating point operation that a computer performs. I wish that Americans were able to read, understand, and appreciate such an important analysis of the biggest problem that will confront humans in the next few decades.
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Reviewed in the United States on December 3, 2025
★★★★★ 4
Removing data from databases or datasets.
Format: Kindle
If the share a video or photo option was working I would share the screenshot. However, I'll quote it.
"Most of the adults on the list had never been charged, but once they were included, ther was no way to have their name removed."
This needs more clarification as you can delete data from a database. Especially if web based, there should be CRUD principles added. If that was not the case there's still ways to delete the data or even change it's classification. I will give benefit of the doubt that there's an underlying reason it was said there was no way to remove or that I even misunderstood the context around it. Just seems a little like reaching by this point.
Also, I do like this book and a fresh perspective on data collection even though at times it seems to read a little emotional for what I was expecting of an Atlas. Regardless looking past the verbiage of emotions, this is a great book that does point out a lot of history with AI. Thank you for creating this book! Also giving more data to the internet to be used for.... AI... lol
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Reviewed in the United States on November 27, 2024
★★★★★ 5
A must read for ALL world citizens A must read again!!
Format: Paperback
Fabulous book. Wide ranging, every page full of information that ALL modern citizens should already know or should learn as we go to green technologies and even more dependence on AI and computers. These techs look 'all clean' and 'socially fair' when in fact at every stage (she takes us from design, to engineering to mining, to sales to production of techs) in this 'atlas' of AI we see pollution, inequality, power relationships hidden just beneath the surface. The tip of the AI/computer/green tech iceberg looks all white and clean........the rest (the filth, pollution and inequaity) are all hidden away. Just a tremendous book and not too hard to read. This book should be required reading for all college students, whatever their field!
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Reviewed in the United States on August 16, 2023
★★★★★ 3
Embitterment in regard to AI
Format: Kindle
AI is one of the most important innovations in the last decades. But the author of this book claims that the current application of AI is bad. It requires computers that use rare material, the mining of which harms the environment, and it uses inaccurate training data, to list some of the arguments presented in this book. But when considering these drawbacks against AI's blessing (automatic translation, contribution to medical research, etc.), the criticism seems to be not justified. The author blames AI for searching order in an infinitely complex world (in the Conclusion chapter), but she ignores that this is exactly what science does. The book also includes many interesting reviews of the history of science and AI. I enjoyed very much reading these reviews.
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Reviewed in the United States on August 2, 2021
★★★★★ 5
Engaging study of the underpinnings of AI
Format: Kindle
This “atlas” maps what is often forgotten when discussing AI: material needs like the extraction of lithium and other minerals from the earth with the destruction of nature that requires and the workers, as well as the epistemological constraints of classification and the false proxies of data. The book is engagingly written and easy to follow while richly sourced. I’ll probably assign at least a couple of chapters to undergrads in our digital culture program. I would have loved an audio book version - but I listened to it using automatic text to speech on my phone and it was surprisingly not awful. This is the first time I’ve done that with a whole book.
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Reviewed in the United States on May 13, 2021
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