SKU: 76537377117

COMP Cams Camshaft CRS XS268S10

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Description

COMP Cams Camshaft CRS XS268S10Xtreme Energy 230 236 Solid Flat Cam for Chrysler 273 360 street strip Applications. This Part Fits: Year Make Model Submodel 1965 Bristol 408 Base 1965 1967 Bristol 409 Base 1967 1969 Bristol 410 Base 1964 1965 Checker Aerobus Base 1979 1980 Chrysler Cordoba 300 1975 1983 Chrysler Cordoba Base 1980 Chrysler Cordoba Crown 1980 1982 Chrysler Cordoba LS 1983 1989 Chrysler Fifth Avenue Base 1981 1983 Chrysler Imperial Base 1977 1981 Chrysler LeBaron Base

Xtreme Energy 230/236 Solid Flat Cam for Chrysler 273-360 street/strip Applications.

This Part Fits:

Year Make Model Submodel
1965 Bristol 408 Base
1965-1967 Bristol 409 Base
1967-1969 Bristol 410 Base
1964-1965 Checker Aerobus Base
1979-1980 Chrysler Cordoba 300
1975-1983 Chrysler Cordoba Base
1980 Chrysler Cordoba Crown
1980-1982 Chrysler Cordoba LS
1983-1989 Chrysler Fifth Avenue Base
1981-1983 Chrysler Imperial Base
1977-1981 Chrysler LeBaron Base
1977-1981 Chrysler LeBaron Medallion
1978 Chrysler LeBaron S
1979-1981 Chrysler LeBaron Salon
1980-1981 Chrysler LeBaron Special
1979-1982 Chrysler New Yorker Base
1977-1978 Chrysler New Yorker Brougham
1971,1973-1981 Chrysler Newport Base
1971-1976 Chrysler Newport Custom
1971-1972 Chrysler Newport Royal
1978-1981 Chrysler Town & Country Base
1964 Dodge 330 Base
1964 Dodge 440 Base
1964-1966,1970 Dodge A100 Base
1970 Dodge A100 Sportsman
1976-1980 Dodge Aspen Base
1976-1977 Dodge Aspen Custom
1976-1977 Dodge Aspen Special Edition
1975-1980 Dodge B100 Base
1971-1974 Dodge B100 Van Base
1971-1974 Dodge B100 Van Sportsman
1981-1994 Dodge B150 Base
1995-1998 Dodge B1500 Base
1975-1980 Dodge B200 Base
1971-1974 Dodge B200 Van Base
1972-1974 Dodge B200 Van Maxi
1972-1974 Dodge B200 Van Maxi Wagon
1971-1974 Dodge B200 Van Sportsman
1981-1994 Dodge B250 Base
1995-1998 Dodge B2500 Base
1975-1980 Dodge B300 Base
1971-1974 Dodge B300 Van Base
1972-1974 Dodge B300 Van Maxi
1972-1974 Dodge B300 Van Maxi Wagon
1971-1974 Dodge B300 Van Sportsman
1981-1994 Dodge B350 Base
1995-1998 Dodge B3500 Base
1973-1980 Dodge CB300 Base
1970-1974 Dodge Challenger Base
1970-1971 Dodge Challenger R/T
1972 Dodge Challenger Rallye
1970 Dodge Challenger T/A
1969-1971 Dodge Charger 500
1966-1974,1976 Dodge Charger Base
1967-1971 Dodge Charger R/T
1969 Dodge Charger SE
1971-1978 Dodge Charger Special Edition
1976 Dodge Charger Sport
1971 Dodge Charger Super Bee
1965,1967-1970 Dodge Coronet 440
1965,1967-1970 Dodge Coronet 500
1965-1966,1970-1976 Dodge Coronet Base
1971,1975-1976 Dodge Coronet Brougham
1971-1976 Dodge Coronet Crestwood
1971-1975 Dodge Coronet Custom
1967-1970 Dodge Coronet Deluxe
1968-1970 Dodge Coronet R/T
1968-1970 Dodge Coronet Super Bee
1975-1979,1984-1989 Dodge D100 Custom
1976-1978 Dodge D100 Warlock
1979 Dodge D100 Warlock II
1968-1974 Dodge D100 Pickup Base
1964-1967 Dodge D100 Series Base
1977-1993 Dodge D150 Base
1978-1979 Dodge D150 Li'l Red Express
1982-1983 Dodge D150 Miser
1990-1991 Dodge D150 S
1977-1980 Dodge D200 Base
1975-1976 Dodge D200 Custom
1968-1974 Dodge D200 Pickup Base
1964-1967 Dodge D200 Series Base
1981-1993 Dodge D250 Base
1977-1980 Dodge D300 Base
1975-1976 Dodge D300 Custom
1968-1974 Dodge D300 Pickup Base
1964-1967 Dodge D300 Series Base
1981-1993 Dodge D350 Base
1990-1999 Dodge Dakota Base
1990-1993 Dodge Dakota LE
1998-2002 Dodge Dakota R/T
1991-1992 Dodge Dakota S
1990-1991 Dodge Dakota SE
1989 Dodge Dakota Shelby
1994-2002 Dodge Dakota SLT
1991-2002 Dodge Dakota Sport
1994-1996 Dodge Dakota WS
1968 Dodge Dart 270
1964-1976 Dodge Dart Base
1969-1975 Dodge Dart Custom
1971-1972 Dodge Dart Demon
1971-1972 Dodge Dart Demon 340
1968-1969 Dodge Dart GT
1968-1969 Dodge Dart GTS
1971-1974 Dodge Dart Special
1974-1975 Dodge Dart Special Edition
1973-1976 Dodge Dart Sport
1973 Dodge Dart Sport 340
1974-1975 Dodge Dart Sport 360
1969-1976 Dodge Dart Swinger
1975-1976 Dodge Dart Swinger Special
1977-1981 Dodge Diplomat Base
1977-1983 Dodge Diplomat Medallion
1978 Dodge Diplomat S
1979-1989 Dodge Diplomat Salon
1984-1989 Dodge Diplomat SE
1998-2001 Dodge Durango Base
2000-2002 Dodge Durango R/T
1998-2002 Dodge Durango SLT
1999-2000,2002 Dodge Durango SLT Plus
2000,2002 Dodge Durango Sport
1968-1974 Dodge M300 Base
1978-1979 Dodge Magnum XE
1970-1974 Dodge MB300 Base
1980-1983 Dodge Mirada Special Coupe
1968 Dodge Monaco 500
1968-1978 Dodge Monaco Base
1974,1977-1978 Dodge Monaco Brougham
1977-1978 Dodge Monaco Crestwood
1974 Dodge Monaco Custom
1975-1976 Dodge Monaco Royal
1975-1976 Dodge Monaco Royal Brougham
1968-1969 Dodge Polara 500
1964-1973 Dodge Polara Base
1971 Dodge Polara Brougham
1970-1973 Dodge Polara Custom
1972-1974 Dodge R300 Base
1994-1996 Dodge Ram 1500 Base
1997-2001 Dodge Ram 1500 Laramie
1997 Dodge Ram 1500 LT
2002 Dodge Ram 1500 SLT
1997-2001 Dodge Ram 1500 Sport
1997-1998 Dodge Ram 1500 SS/T 5.9L
1997-2002 Dodge Ram 1500 ST
1999-2002 Dodge Ram 1500 Van Base
1994-2002 Dodge Ram 2500 Base
1999-2002 Dodge Ram 2500 Van Base
1994-2002 Dodge Ram 3500 Base
1999-2002 Dodge Ram 3500 Van Base
1974-1993 Dodge Ramcharger Base
1991-1993 Dodge Ramcharger Canyon Sport
1981-1993 Dodge Ramcharger Royal SE
1975-1980 Dodge Ramcharger SE
1978-1980 Dodge RD200 Base
1973-1974 Dodge RM300 Base
1971 Dodge RM300 Motorhome
1971,1974 Dodge RM350 Motorhome
1975-1977 Dodge Royal Monaco Base
1975-1977 Dodge Royal Monaco Brougham
1979-1981 Dodge St. Regis Base
1975-1977,1984-1989 Dodge W100 Custom
1968-1974 Dodge W100 Pickup Base
1964-1967 Dodge W100 Series Base
1977-1993 Dodge W150 Base
1990-1991 Dodge W150 S
1975-1980 Dodge W200 Base
1968-1974 Dodge W200 Pickup Base
1964-1967 Dodge W200 Series Base
1981-1993 Dodge W250 Base
1977-1980 Dodge W300 Base
1975-1976 Dodge W300 Custom
1968-1974 Dodge W300 Pickup Base
1964-1967 Dodge W300 Series Base
1981-1993 Dodge W350 Base
1966 Griffith 200 Base
1998 Jeep Grand Cherokee 5.9 Limited
1993 Jeep Grand Cherokee Base
1993-1998 Jeep Grand Cherokee Laredo
1993-1998 Jeep Grand Cherokee Limited
1995,1997 Jeep Grand Cherokee Orvis
1994-1995 Jeep Grand Cherokee SE
1997-1998 Jeep Grand Cherokee TSi
1993 Jeep Grand Wagoneer Base
1964-1974 Plymouth Barracuda Base
1970-1971 Plymouth Barracuda Gran Coupe
1964-1971 Plymouth Belvedere Base
1968-1971 Plymouth Belvedere Satellite
1965-1967 Plymouth Belvedere II Base
1970-1974 Plymouth Cuda Base
1970-1973 Plymouth Duster 340
1974-1975 Plymouth Duster 360
1970-1975 Plymouth Duster Base
1975 Plymouth Duster Custom
1976 Plymouth Duster Sport
1964-1967,1975-1978 Plymouth Fury Base
1971,1975 Plymouth Fury Custom
1968,1970-1975 Plymouth Fury Custom Suburban
1972 Plymouth Fury Gran Coupe
1972 Plymouth Fury Gran Sedan
1974 Plymouth Fury Police
1970 Plymouth Fury S-23
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SKU: 76537377117

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4.7 ★★★★★
Based on 15 reviews
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Product Reviews
H
Verified Purchase
Harry
Louisville, 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
A
Amazon Customer
Grantham, 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
T
Verified Purchase
Tyler Backus
San Leandro, 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.
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Reviewed in the United States on May 11, 2024
J
Verified Purchase
Josh D
Pawtucket, 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.
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Reviewed in the United States on February 6, 2025
J
Verified Purchase
Jeff Jenner
Omaha, 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

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