SKU: 29967707191

ANZO 1999-2000 Cadillac Escalade LED Taillights Red/Clear

Name: ANZO 1999-2000 Cadillac Escalade LED Taillights Red/Clear
Brand: ateurope.org
SKU: 29967707191
Price: 142.50 USD
Availability: InStock
Rating: 4.3213 (18 reviews)

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Description

ANZO 1999-2000 Cadillac Escalade LED Taillights Red/ClearTail Light Assembly, LED, Red Clear Lens, Pair, . Guaranteed To Improve Your Vehicles Appearance. Rigorously Tested For Fit And Function. Simple Plug And Play. No Modifications Required. Easy Installation Using Common Hand Tools. Uses Stock Mounting Locations And Hardware. D. O. T. Compliant To S. A. E. Standards. Sold As A Pair. Installation Instructions Catalog This Part Fits: Year Make Model Submodel 1999 2000 Cadillac Escalade Base 1994 Chevrolet

Tail Light Assembly, LED, Red/Clear Lens, Pair, . Guaranteed To Improve Your Vehicles Appearance. Rigorously Tested For Fit And Function. Simple Plug And Play. No Modifications Required. Easy Installation Using Common Hand Tools. Uses Stock Mounting Locations And Hardware. D.O.T. Compliant To S.A.E. Standards. Sold As A Pair.

Installation Instructions
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This Part Fits:

Year	Make	Model	Submodel
1999-2000	Cadillac	Escalade	Base
1994	Chevrolet	Blazer	Base
1992-1993	Chevrolet	Blazer	Cheyenne
1992-1994	Chevrolet	Blazer	Silverado
1994	Chevrolet	Blazer	Silverado Sport
1990-1993	Chevrolet	C1500	454 SS
1994-1997	Chevrolet	C1500	Base
1988-1998	Chevrolet	C1500	Cheyenne
1988-1992	Chevrolet	C1500	Scottsdale
1988-1998	Chevrolet	C1500	Silverado
1990-1998	Chevrolet	C1500	WT
1992-1999	Chevrolet	C1500 Suburban	Base
1995-1999	Chevrolet	C1500 Suburban	LS
1995-1997,1999	Chevrolet	C1500 Suburban	LT
1992-1994	Chevrolet	C1500 Suburban	Silverado
1994-1997,1999	Chevrolet	C2500	Base
1988-1998	Chevrolet	C2500	Cheyenne
1999	Chevrolet	C2500	LS
1988-1992	Chevrolet	C2500	Scottsdale
1988-1998	Chevrolet	C2500	Silverado
1994-1995,1998	Chevrolet	C2500	WT
1992-1999	Chevrolet	C2500 Suburban	Base
1995-1999	Chevrolet	C2500 Suburban	LS
1995-1997	Chevrolet	C2500 Suburban	LT
1992-1994	Chevrolet	C2500 Suburban	Silverado
1994-1997,1999-2000	Chevrolet	C3500	Base
1988-1998	Chevrolet	C3500	Cheyenne
1999-2000	Chevrolet	C3500	LS
1988-1992	Chevrolet	C3500	Scottsdale
1988-1998	Chevrolet	C3500	Silverado
1994-1997	Chevrolet	K1500	Base
1988-1998	Chevrolet	K1500	Cheyenne
1988-1992	Chevrolet	K1500	Scottsdale
1988-1998	Chevrolet	K1500	Silverado
1991	Chevrolet	K1500	Sport
1990-1998	Chevrolet	K1500	WT
1992-1999	Chevrolet	K1500 Suburban	Base
1995-1999	Chevrolet	K1500 Suburban	LS
1995-1997,1999	Chevrolet	K1500 Suburban	LT
1992-1994	Chevrolet	K1500 Suburban	Silverado
1994-1997	Chevrolet	K2500	Base
1988-1998	Chevrolet	K2500	Cheyenne
1988-1992	Chevrolet	K2500	Scottsdale
1988-1998	Chevrolet	K2500	Silverado
1994-1995,1998	Chevrolet	K2500	WT
1992-1999	Chevrolet	K2500 Suburban	Base
1995-1999	Chevrolet	K2500 Suburban	LS
1995-1997	Chevrolet	K2500 Suburban	LT
1992-1994	Chevrolet	K2500 Suburban	Silverado
1994-1997,1999-2000	Chevrolet	K3500	Base
1988-1998	Chevrolet	K3500	Cheyenne
1999-2000	Chevrolet	K3500	LS
1988-1992	Chevrolet	K3500	Scottsdale
1988-1998	Chevrolet	K3500	Silverado
1988	Chevrolet	R20	Cheyenne
1988	Chevrolet	R20	Custom Deluxe
1988	Chevrolet	R20	Scottsdale
1988	Chevrolet	R20	Silverado
1989	Chevrolet	R2500	Cheyenne
1989	Chevrolet	R2500	Scottsdale
1989	Chevrolet	R2500	Silverado
1988	Chevrolet	R30	Cheyenne
1988	Chevrolet	R30	Custom Deluxe
1988	Chevrolet	R30	Scottsdale
1988	Chevrolet	R30	Silverado
1989-1991	Chevrolet	R3500	Cheyenne
1989-1990	Chevrolet	R3500	Scottsdale
1989-1991	Chevrolet	R3500	Silverado
1995-1999	Chevrolet	Tahoe	Base
1995-1999	Chevrolet	Tahoe	LS
1995-1999	Chevrolet	Tahoe	LT
1988	Chevrolet	V30	Cheyenne
1988	Chevrolet	V30	Custom Deluxe
1988	Chevrolet	V30	Scottsdale
1988	Chevrolet	V30	Silverado
1989-1991	Chevrolet	V3500	Cheyenne
1989-1990	Chevrolet	V3500	Scottsdale
1989-1991	Chevrolet	V3500	Silverado
1988-1993	GMC	C1500	Sierra
1997	GMC	C1500	Sierra GT
1994-1998	GMC	C1500	Sierra SL
1988-1998	GMC	C1500	Sierra SLE
1994-1998	GMC	C1500	Sierra SLT
1988-1993	GMC	C1500	Sierra SLX
1994-1998	GMC	C1500	Sierra Special
1992-1999	GMC	C1500 Suburban	Base
1992-1999	GMC	C1500 Suburban	SLE
1995-1999	GMC	C1500 Suburban	SLT
1988-1993	GMC	C2500	Sierra
1994-1998	GMC	C2500	Sierra SL
1988-1998	GMC	C2500	Sierra SLE
1994-1998	GMC	C2500	Sierra SLT
1988-1993	GMC	C2500	Sierra SLX
1992-1999	GMC	C2500 Suburban	Base
1992-1999	GMC	C2500 Suburban	SLE
1995-1999	GMC	C2500 Suburban	SLT
1988-1993	GMC	C3500	Sierra
1994-2000	GMC	C3500	Sierra SL
1988-2000	GMC	C3500	Sierra SLE
1994-2000	GMC	C3500	Sierra SLT
1988-1993	GMC	C3500	Sierra SLX
1988-1993	GMC	K1500	Sierra
1994-1998	GMC	K1500	Sierra SL
1988-1998	GMC	K1500	Sierra SLE
1995	GMC	K1500	Sierra SLS
1994-1998	GMC	K1500	Sierra SLT
1988-1993	GMC	K1500	Sierra SLX
1994-1998	GMC	K1500	Sierra Special
1993	GMC	K1500	Sierra Sport
1992-1999	GMC	K1500 Suburban	Base
1992-1999	GMC	K1500 Suburban	SLE
1995-1999	GMC	K1500 Suburban	SLT
1988-1993	GMC	K2500	Sierra
1994-1998	GMC	K2500	Sierra SL
1988-1998	GMC	K2500	Sierra SLE
1994-1998	GMC	K2500	Sierra SLT
1988-1993	GMC	K2500	Sierra SLX
1992-1999	GMC	K2500 Suburban	Base
1992-1999	GMC	K2500 Suburban	SLE
1995-1999	GMC	K2500 Suburban	SLT
1988-1993	GMC	K3500	Sierra
1994-2000	GMC	K3500	Sierra SL
1988-2000	GMC	K3500	Sierra SLE
1994-2000	GMC	K3500	Sierra SLT
1988-1993	GMC	K3500	Sierra SLX
1988-1989	GMC	R2500	Base
1988-1989	GMC	R2500	High Sierra
1988-1989	GMC	R2500	Sierra Classic
1988-1991	GMC	R3500	Base
1988-1989	GMC	R3500	High Sierra
1988-1989	GMC	R3500	Sierra Classic
1990-1991	GMC	R3500	SLE
1988-1991	GMC	V3500	Base
1988-1989	GMC	V3500	High Sierra
1988-1989	GMC	V3500	Sierra Classic
1990-1991	GMC	V3500	SLE
1992-1995	GMC	Yukon	Base
1999	GMC	Yukon	Denali
1993	GMC	Yukon	GT
1996-1997	GMC	Yukon	SL
1992-1999	GMC	Yukon	SLE
1995-1999	GMC	Yukon	SLT
1992,1994	GMC	Yukon	Sport

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Product Reviews

Verified Purchase

Harry

San Leandro, US

★★★★★ 5

Helpful to a beginner...

Format: Paperback

It is very nice to read and the book has a good design. I read it and I just learned some couple things. Thanks Roblox!

WAS THIS REVIEW HELPFUL?YesReportShare

Reviewed in the United States on May 15, 2022

Amazon Customer

Birmingham, US

★★★★★ 5

Great book

Format: Paperback

Got this for my son and helped him finish coding his game although it takes some time to learn it I definitely recommend this book

WAS THIS REVIEW HELPFUL?YesReportShare

Reviewed in the United States on September 21, 2024

Verified Purchase

Tyler Backus

Boise, US

★★★★★ 1

Out of date and just plain not good instruction

Format: Kindle

This has problems that I have seen from many non-educators when they write an instructional book (so I hope she is not an actual educator). The book makes leaps of faith of knowledge and has a belief that they have shown you well enough to do one thing (which it doesn't) and that you can extrapulate from that knowledge to do something completely different. They makes these leaps of faith in the first couple hours, when people are just getting used to coding in this language. This book also fails to even tell you what different parts of the code are doing, so that you can make those leaps of knowledge. I also find this happens a lot when people write coding books. They know how to code, so they figure if they just show you parts of a code you will figure out why it did what it did, instead of explaining to you what different parts of code actually do when you put them together. I made it almost through hour two before I gave up trying to decipher all the nonsense that was written in this book. In hour two they have you make a sphere, but never actually show you how to make the sphere, but then start telling you how to create dialog for the sphere. Apparently in hour 1, even though it was never explained, I was supposed to understand how to make a lava field with objects.

WAS THIS REVIEW HELPFUL?YesReportShare

Reviewed in the United States on May 11, 2024

Verified Purchase

Josh D

Carnegie, 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

Verified Purchase

Jeff Jenner

Port Orchard, 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.

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Reviewed in the United States on December 3, 2025