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PUIG 20341A Motorölablassschraube TRACK passend fuer YAMAHA XT660X Blau

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PUIG 20341A Motorölablassschraube TRACK passend fuer YAMAHA XT660X BlauPUIG 20341A Motorlablassschraube TRACK passend fuer YAMAHA XT660X 2005 Vom rein funktionalen Originalteil zum Designteil, das sich in der Motorbaugruppe auszeichnet. Der markante Renncharakter wird aufgrund seiner reduzierten Abmessungen und Bearbeitungslinien durch die Eleganz eines schwarz eloxierten Sets und eines farbigen Rings ergnzt, der es ermglicht, sich in den Rest des Motorrads einzufgen. Wie bei unseren lschrauben blich, knnen wir mit dem

PUIG 20341A Motorölablassschraube TRACK passend fuer YAMAHA XT660X 2005

Vom rein funktionalen Originalteil zum Designteil, das sich in der Motorbaugruppe auszeichnet. Der markante Renncharakter wird aufgrund seiner reduzierten Abmessungen und Bearbeitungslinien durch die Eleganz eines schwarz eloxierten Sets und eines farbigen Rings ergänzt, der es ermöglicht, sich in den Rest des Motorrads einzufügen.  Wie bei unseren Ölschrauben üblich, können wir mit dem Track-Modell einen Ölverlust auf der Strecke versichern.  Verleihen Sie Ihrem Motorrad mit der Track Motorölschraube von Puig einen sportlichen und einzigartigen Touch. Ein unverzichtbarer Teil, wenn Sie während eines Streckenfahrts in die Rennstrecke reinfahren möchten.

Motorölablassschraube TRACK

passend für:

YAMAHA XT660X 2005
YAMAHA XT660R 2005
YAMAHA YZF-R1 2004
YAMAHA YZF-R1 2005
YAMAHA YZF-R1 1999
YAMAHA YZF-R1 2000
YAMAHA YZF-R1 2002
YAMAHA YZF-R1 2003
YAMAHA YZF 1000 R THUNDERACE 1997
YAMAHA YZF 1000 R THUNDERACE 1998
YAMAHA YZF 1000 R THUNDERACE 1999
YAMAHA YZF 1000 R THUNDERACE 2000
YAMAHA YZF 1000 R THUNDERACE 2001
YAMAHA FZS600 FAZER 1998
YAMAHA FZS600 FAZER 2000
YAMAHA FZS600 FAZER 2001
YAMAHA FZS600 FAZER 2002
YAMAHA FZS600 FAZER 2003
YAMAHA FZS1000 FAZER 2002
YAMAHA FZS1000 FAZER 2003
YAMAHA FZS1000 FAZER 2004
YAMAHA FZS1000 FAZER 2001
YAMAHA FZ750 1990
YAMAHA FZ750 1991
YAMAHA FZ750 1992
YAMAHA FZ750 1993
YAMAHA FZ750 1994
YAMAHA FZS1000 FAZER 2005
YAMAHA FZ1 FAZER 2006
YAMAHA FZS600 FAZER 1999
YAMAHA YZF-R1 2006
YAMAHA XT660R 2006
YAMAHA XT660X 2006
YAMAHA YZF-R1 2007
YAMAHA FZ1 FAZER 2007
YAMAHA XT660X 2007
YAMAHA XT660R 2007
YAMAHA XT660Z TENERE 2008
YAMAHA YZF-R1 2008
YAMAHA FZ1 FAZER 2008
YAMAHA FZ750 1987
YAMAHA FZ750 1988
YAMAHA FZ750 1989
YAMAHA XT660X 2004
YAMAHA XT660X 2008
YAMAHA XT660R 2004
YAMAHA XT660R 2008
YAMAHA YZF-R1 2001
YAMAHA YZF-R1 1998
YAMAHA FZ1 FAZER 2009
YAMAHA XT660R 2009
YAMAHA XT660X 2009
YAMAHA YZF 1000 R THUNDERACE 1996
YAMAHA YZF-R1 2009
YAMAHA XJ6 2009
YAMAHA XJ6 DIVERSION 2009
YAMAHA XT660Z TENERE 2009
YAMAHA FZ1 FAZER 2010
YAMAHA XJ6 2010
YAMAHA XJ6 DIVERSION 2010
YAMAHA XJ6 DIVERSION F 2010
YAMAHA YZF-R1 2010
YAMAHA XT660X 2010
YAMAHA XT660R 2010
YAMAHA XT660Z TENERE 2010
YAMAHA XT1200Z SUPER TENERE 2010
YAMAHA FZ1 FAZER 2011
YAMAHA FZ8 2011
YAMAHA XJ6 2011
YAMAHA XJ6 DIVERSION F 2011
YAMAHA XT660R 2011
YAMAHA XT660Z TENERE 2011
YAMAHA XT1200Z SUPER TENERE 2011
YAMAHA YZF-R1 2011
YAMAHA XJ6 DIVERSION 2011
YAMAHA YZF-R1 2012
YAMAHA FZ1 FAZER 2012
YAMAHA FZ8 2012
YAMAHA XJ6 2012
YAMAHA XJ6 DIVERSION 2012
YAMAHA XJ6 DIVERSION F 2012
YAMAHA XT660Z TENERE 2012
YAMAHA XT1200Z SUPER TENERE 2012
YAMAHA XT660R 2012
YAMAHA FZ1 2006
YAMAHA FZ1 2007
YAMAHA FZ1 2008
YAMAHA FZ1 2009
YAMAHA FZ1 2010
YAMAHA FZ1 2011
YAMAHA FZ1 2012
YAMAHA FZ1 2013
YAMAHA FZ1 FAZER 2013
YAMAHA FZ8 2013
YAMAHA XJ6 2013
YAMAHA XJ6 DIVERSION 2013
YAMAHA XJ6 DIVERSION F 2013
YAMAHA XT660R 2013
YAMAHA XT660Z TENERE 2013
YAMAHA XT1200Z SUPER TENERE 2013
YAMAHA YZF-R1 2013
YAMAHA YZF 1000 R THUNDERACE 2002
YAMAHA FZ8 FAZER 2011
YAMAHA FZ8 FAZER 2012
YAMAHA MT-07 2014
YAMAHA FZ1 FAZER 2014
YAMAHA FZ1 2014
YAMAHA XJ6 DIVERSION F 2014
YAMAHA XJ6 DIVERSION 2014
YAMAHA XJ6 2014
YAMAHA YZF-R1 2014
YAMAHA XT660R 2014
YAMAHA XT660Z TENERE 2014
YAMAHA XT1200Z SUPER TENERE 2014
YAMAHA FZ8 2014
YAMAHA YZF 1000 R THUNDERACE 2003
YAMAHA FZS600 FAZER 2004
YAMAHA YZF-R3 2015
YAMAHA FZ8 2015
YAMAHA FZ1 2015
YAMAHA FZ1 FAZER 2015
YAMAHA MT-07 2015
YAMAHA XJ6 2015
YAMAHA XJ6 DIVERSION 2015
YAMAHA XJ6 DIVERSION F 2015
YAMAHA XT660R 2015
YAMAHA XT660Z TENERE 2015
YAMAHA XT1200Z SUPER TENERE 2015
YAMAHA YZF-R1 2015
YAMAHA FZ8 2016
YAMAHA MT-07 2016
YAMAHA MT-10 2016
YAMAHA XJ6 2016
YAMAHA XJ6 DIVERSION 2016
YAMAHA XJ6 DIVERSION F 2016
YAMAHA XSR700 2016
YAMAHA YZF-R1 2016
YAMAHA YZF-R3 2016
YAMAHA XT1200Z SUPER TENERE 2016
YAMAHA XT660Z TENERE 2016
YAMAHA XT660R 2016
YAMAHA XT660X 2011
YAMAHA XT660X 2012
YAMAHA XT660X 2013
YAMAHA XT660X 2014
YAMAHA XT660X 2015
YAMAHA XT660X 2016
YAMAHA MT-07 TRACER 2016
YAMAHA MT-07 2017
YAMAHA YZF-R3 2017
YAMAHA XSR700 2017
YAMAHA MT-07 TRACER 2017
YAMAHA YZF-R1 2017
YAMAHA MT-10 2017
YAMAHA MT-10 SP 2017
YAMAHA XT1200Z SUPER TENERE 2017
YAMAHA MT-10 SP 2018
YAMAHA MT-10 2018
YAMAHA XSR700 2018
YAMAHA YZF-R1 2018
YAMAHA YZF-R3 2018
YAMAHA XT1200Z SUPER TENERE 2018
YAMAHA MT-07 2019
YAMAHA XSR700 XTRIBUTE 2019
YAMAHA MT-10 2019
YAMAHA MT-10 SP 2019
YAMAHA XT1200Z SUPER TENERE 2019
YAMAHA YZF-R1 2019
YAMAHA XSR700 2019
YAMAHA YZF-R3 2019
YAMAHA YZF-R1 2020
YAMAHA YZF-R1M 2020
YAMAHA XT1200Z SUPER TENERE 2020
YAMAHA YZF-R3 2020
YAMAHA MT-10 2020
YAMAHA MT-10 SP 2020
YAMAHA MT-07 2020
YAMAHA XSR700 2020
YAMAHA XSR700 XTRIBUTE 2020
YAMAHA MT-03 2020
YAMAHA YZF-R1 2021
YAMAHA YZF-R1M 2021
YAMAHA YZF-R3 2021
YAMAHA MT-10 2021
YAMAHA MT-10 SP 2021
YAMAHA MT-03 2021
YAMAHA XSR700 2021
YAMAHA XT1200ZE SUPER TENERE 2020
YAMAHA XT1200ZE SUPER TENERE 2019
YAMAHA MT-03 2022
YAMAHA YZF-R1 2022
YAMAHA YZF-R1M 2022
YAMAHA XSR700 2022
YAMAHA TRACER 700 2018
YAMAHA TRACER 700 2019
YAMAHA TRACER 700 2020
YAMAHA TRACER 7 2021
YAMAHA TRACER 700 GT 2019
YAMAHA TRACER 700 GT 2020
YAMAHA YZF-R7 2022
YAMAHA MT-10 2022
YAMAHA MT-10 SP 2022
YAMAHA MT-03 2023
YAMAHA MT-10 SP 2023
YAMAHA MT-10 2023
YAMAHA TENERE 700 RALLY EDITION 2023
YAMAHA XSR700 2023
YAMAHA YZF-R1 2023
YAMAHA YZF-R1M 2023
YAMAHA YZF-R7 2023
YAMAHA TENERE 700 WORLD RAID 2022
YAMAHA TENERE 700 WORLD RAID 2023
YAMAHA TENERE 700 EXPLORE EDITION 2023
YAMAHA TENERE 700 EXTREME EDITION 2023
YAMAHA MT-07 ABS 2014
YAMAHA MT-07 ABS 2015
YAMAHA MT-07 ABS 2016
YAMAHA MT-07 MOTO CAGE 2014
YAMAHA MT-07 MOTO CAGE 2015
YAMAHA MT-07 MOTO CAGE 2016
YAMAHA MT-07 MOTO CAGE 2017
YAMAHA XJ6 SP 2009
YAMAHA XJ6 SP 2010
YAMAHA XJ6 SP 2011
YAMAHA XJ6 SP 2012
YAMAHA XJ6 SP 2013
YAMAHA XJ6 SP 2014
YAMAHA XJ6 SP 2015
YAMAHA XJ6 SP 2016
YAMAHA TRACER 7 2022
YAMAHA TRACER 7 2023
YAMAHA TRACER 7 GT 2021
YAMAHA TRACER 7 GT 2022
YAMAHA TRACER 7 GT 2023
YAMAHA YZF-R3 2022
YAMAHA YZF-R3 2023
YAMAHA MT-03 2024
YAMAHA MT-10 2024
YAMAHA MT-10 SP 2024
YAMAHA TENERE 700 RALLY EDITION 2024
YAMAHA TENERE 700 WORLD RAID 2024
YAMAHA TRACER 7 2024
YAMAHA TRACER 7 GT 2024
YAMAHA XSR700 2024
YAMAHA YZF-R1 2024
YAMAHA YZF-R1M 2024
YAMAHA YZF-R3 2024
YAMAHA YZF-R7 2024
YAMAHA TENERE 700 EXPLORE EDITION 2024
YAMAHA TENERE 700 EXTREME EDITION 2024
YAMAHA YZF-R6 RACE 2022
YAMAHA YZF-R6 RACE 2023
YAMAHA YZF-R6 RACE 2024
YAMAHA YZF-R1 RACE 2024
YAMAHA MT-03 2025
YAMAHA MT-10 2025
YAMAHA MT-10 SP 2025
YAMAHA XSR700 2025
YAMAHA YZF-R7 2025
YAMAHA YZF-R1 2025
YAMAHA YZF-R1 RACE 2025
YAMAHA YZF-R6 2003
YAMAHA YZF-R6 2004
YAMAHA YZF-R6 2005
YAMAHA YZF-R6 2006
YAMAHA YZF-R6 2007
YAMAHA YZF-R6 2008
YAMAHA YZF-R6 2009
YAMAHA YZF-R6 2010
YAMAHA YZF-R6 2011
YAMAHA YZF-R6 2012
YAMAHA YZF-R6 2013
YAMAHA YZF-R6 2014
YAMAHA YZF-R6 2015
YAMAHA YZF-R6 2016
YAMAHA YZF-R6 2017
YAMAHA YZF-R6 2018
YAMAHA YZF-R6 2019
YAMAHA YZF-R6 2020
YAMAHA YZF-R1M 2025
YAMAHA YZF-R6 RACE 2021
YAMAHA MT-03 2026
YAMAHA MT-10 2026
YAMAHA MT-10 SP 2026
YAMAHA XSR700 2026
YAMAHA YZF-R1 RACE 2026
YAMAHA YZF-R7 2026
YAMAHA MT-07 2021
YAMAHA MT-07 2018
YAMAHA TENERE 700 2019
YAMAHA TENERE 700 2020
YAMAHA TENERE 700 2021
YAMAHA TENERE 700 RALLY EDITION 2021
YAMAHA MT-07 2022
YAMAHA TENERE 700 2022
YAMAHA TENERE 700 RALLY EDITION 2022
YAMAHA MT-07 2023
YAMAHA MT-07 2024
YAMAHA MT-07 PURE 2023
YAMAHA MT-07 PURE 2024
YAMAHA TENERE 700 2023
YAMAHA TENERE 700 2024
YAMAHA MT-07 Y-AMT 2026
YAMAHA MT-07 Y-AMT 2025
YAMAHA MT-07 2026
YAMAHA MT-07 2025
YAMAHA TENERE 700 WORLD RAID 2025
YAMAHA TENERE 700 RALLY EDITION 2026
YAMAHA TENERE 700 RALLY EDITION 2025
YAMAHA TENERE 700 EXTREME EDITION 2025
YAMAHA TENERE 700 EXPLORE EDITION 2025
YAMAHA TENERE 700 2026
YAMAHA TENERE 700 2025
YAMAHA TRACER 7 GT 2026
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4.4 ★★★★★
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Verified Purchase
Josh D
Cuba, US
★★★★★ 5
Must-read book for everyone (not just Ai proponents)
Format: Paperback
I realize I say this about every AI book I read, but this one really is the best (so far), and most important in my view."Atlas of AI" by Kate Crawford is a well-researched work that should appeal to AI enthusiasts and opponents alike; not because it flatters either side, but because it challenges both to think beyond the usual narratives. Whether you see Ai as a revolutionary tool for progress or a dystopian force of unchecked power, there’s no denying that it it is shaped by real-world systems of labor, industry, and politics.This book makes it clear: Ai is not just about algorithms and efficiency. It is about power: who wields it, who profits from it, and who is left to bear its costs. For those who celebrate Ai’s potential (like me), Atlas of AI offers a sobering look at the material and ethical realities behind the inertia and hype.For those who critique AI as a damaging or dystopian force, the book provides a well-researched (eye-opening) foundation for those concerns.What makes it especially compelling is that it doesn’t fall into the trap of alarmism OR blind optimism. Instead, Crawford takes us on a deep, methodical journey through the infrastructures that sustain artificial intelligence, revealing the hidden costs (labor, environmental, political) that come with EVERY so-called innovation.**Deconstructing the Myths of AI**One of the book’s greatest strengths is its ability to cut through the persistent myths surrounding artificial intelligence. Crawford systematically dismantles the notion that AI is a purely immaterial, frictionless technology. She examines the vast mining operations necessary to produce hardware, the exploitative labor practices behind data annotation, and the enormous energy demands of AI training model. Ai, in her analysis, is not an autonomous or inevitable force—it is an industrial system deeply intertwined with capitalism, surveillance, and environmental degradation (much of her research applies to Big Tech, and not just Ai). This perspective is crucial in an era where Ai is often presented as a revolutionary technology that exists outside of history and politics.Crawford makes it clear that Ai is not “just math” but a political tool wielded by those in power, often reinforcing existing inequalities. The Ethics of Extraction and Control: One of Crawford's most compelling arguments is the framing of AI as an extractive industry: one that harvests resources, labor, and data in much the same way as colonial enterprises have in the past.The book traces how Ai development is dependent on resource-intensive practices, from lithium mining for hardware to the invisible armies of low-wage workers tasked with cleaning and labeling data. Crawford argues Ai is a system built on the extraction of value from the most vulnerable populations, whether they be gig workers, Amazon's "Mechanical Turk" laborers, or the communities living in the shadow of server farms that consume enormous amounts of water and energy.Crawfors cites numerous examples of how corporations like Google and Amazon, and even the government, skirt the system to save on taxes, while promising better futures to the resource-rich communities they exploit. The theme of extraction extends beyond the physical to the digital realm.Crawford shows how personal data is commodified under the guise of “training AI,” reinforcing the asymmetrical relationship between those who generate data and those who profit from it.The book’s critique aligns with broader concerns about surveillance capitalism, demonstrating how Ai is often wielded as a means of control rather than liberation. (I learned some sad truths about local community policing and Ai) AI and the Politics of Classification Crawford explores how classification systems, often presented as objective/neutral, are deeply embedded with biases. Ai systems are trained on datasets shaped by human prejudices, yet are frequently deployed as infallible arbiters of truth. Crawford examines how facial recognition, predictive policing, and automated hiring systems encode and reinforce racial, gendered, and socioeconomic biases, often amplifying systemic discrimination. This analysis is particularly relevant in today’s discussions on AI ethics. Crawford’s work underscores that Ai bias is not simply a technical glitch to be fixed, but rather a feature of the broader political and economic structures that Ai is designed to serve. A Necessary and Timely Intervention For those who have followed debates on Ai ethics, surveillance capitalism, and data justice, Atlas of AI provides a well-researched and compelling synthesis of these concerns, free from the noise we commonly hear on social media outlets. It is particularly valuable in challenging the mainstream, corporate-driven narratives that portray Ai as an inevitable and benign technological force. Crawford’s writing is insightful, well-documented, and accessible, making complex ideas understandable without sacrificing depth. While the book is critical in tone, it does not merely scold Ai developers; rather, it offers a crucial intervention in ongoing discussions about how Ai is developed, deployed, and governed.The book had a surprisingly anti-capitalist/anti-technocratic tone, that inspired me to continue learning/aligning under the anti-fascist flag so many of us wield. For artists, researchers, and technologists (especially those working at the intersection of Ai and creative expression) Atlas of Ai serves as a stark and vital reminder that technology is never neutral. It invites us to think critically about the systems we engage with and the ethical implications of our participation in Ai-driven ecosystems (and really, all major technologies). Atlas of AI is an essential read for anyone interested in understanding the broader implications of artificial intelligence beyond the hype. It moves beyond discussions of algorithms and model accuracy to examine the power structures that shape Ai’s impact on society. By reframing AI as a material and political phenomenon rather than a disembodied technological marvel, Crawford provides a necessary course-correction to the dominant narratives surrounding Ai. This book is not just for AI skeptics but for anyone who wants to engage in a deeper, more nuanced conversation about the technology shaping our present and future. If we are to meaningfully confront the challenges AI presents, we need more books that challenge us to think critically, demand accountability, and advocate for more just and equitable technological futures. For those of us who engage with AI,whether as artists, researchers, developers, or critics, Atlas of AI should serve as a wake-up call. Too often, Ai artists defend the technology out of pride or personal investment, dismissing valid ethical concerns as fear-mongering. On the other side, anti-AI voices often resist engagement with nuance, preferring to frame Ai as an existential threat rather than a tool shaped by human systems of power. Both of these stances miss the point. Crawford makes it clear that the real battle isn’t Ai vs. artists or progress vs. tradition, it’s about who controls the technology, who benefits from it, and who is left to suffer the consequences. If we are serious about the future of art, technology, and creative autonomy, we must move beyond our egos and engage critically with the systems that shape Ai. This book gives us all a foundation to unify under, not in opposition to Ai itself, but in opposition to the unchecked power structures that exploit it and us.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 6, 2025
J
Verified Purchase
Jeff Jenner
Grantham, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 3, 2025
T
Verified Purchase
Thomas
Cuba, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 27, 2024
C
Verified Purchase
Ckalba22
Alexandria, US
★★★★★ 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
A
Verified Purchase
A M
San Leandro, US
★★★★★ 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

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