Four Battlegrounds: Power in the Age of Artificial Intelligence

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Four Battlegrounds: Power in the Age of Artificial Intelligence

Four Battlegrounds: Power in the Age of Artificial Intelligence

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Fortune 500 CEOs won’t like Desmond’s message for rewriting the social contract—which is precisely the point. MEI welcomes financial donations, but retains sole editorial control over its work and its publications reflect only the authors’ views. Autonomous weapons expert Paul Scharre takes readers inside the fierce competition to develop and implement this game-changing technology and dominate the future. Excellent writing on how to protect against espionage and intellectual property theft from foreign actors. It is unlikely that TII expected Falcon to top Hugging Face’s Leaderboard but consider the broader context here: using the comparatively limited compute and talent available to TII, they chose to build a model in the same family as OpenAI’s GPT-3 while making the conscious decision to fully open-source the model, rather unlike OpenAI’s decision to keep its most advanced systems’ technical details secret.

analysis of where we are with AI development, who the big players are, where it's being used currently, where it will be used in the future, and the places where if we are not careful it will allow major powers to use it in dangerous ways. Brother's perspective on international relations, particularly the nuanced approach to China and technology cooperation, is thought-provoking.First step: Read this book, a farsighted and comprehensive survey of the issues involved and the paths forward. The levels of compute and equipment needed, furthermore, is potentially unsustainable for private AI labs, possibly shifting the burden to governments keen on harnessing AI. I'm angry at Scharre for trying to steer us toward war without articulating a sensible justification for war.

Four Battlegrounds argues that four key elements define this struggle: data, computing power, talent, and institutions. Four Battlegrounds: Power in the Age of Artificial Intelligence" by Paul Scharre is a riveting read, especially for a work of non-fiction.Scharre's patterns here suggest that he's mostly focused on convincing the US to go to war with China. Models trained on multiple types of data, including images and video, may eventually “associate concepts represented in multiple formats. The American system is disaggregated and somewhat chaotic, but it attracts the best talent and is capable of radical breakthroughs. The global scope of the book, combined with Scharre’s sensitivity to the shortcomings and dangers of existing AI systems, makes it a valuable contribution to understanding the dynamics that increasingly define the geopolitical landscape.

Scharre’s four battleground themes do provide an interesting framework in which to discuss the implications and challenges of applying AI to today’s strategic competition. Scharre does a great job at explaining complex topics in a way that the average reader can understand, as well as underlining the importance of these latest developments. The idea of the US positioning its AI as safer and more reliable than those produced by Russia or China, due to more extensive testing, is intriguing and quite possible.

A solid, well-organized account of the military applications of AI and of the race to take the lead global position. Scharre covers a lot of ground in the "intelligentization" or "cognitization" of militaries, from comparing Chinese and American AI military integration efforts to startups, procurement systems, and the possibilities of posthuman war. However, a clearer discussion at the beginning of the book would have made the remaining chapters clearer. They represent intentional design choices that link up with the national ambitions of the UAE, and not coincidentally.

My intuition says it will change war in some important way, but the book left me without any vision of that impact.Power is an obvious take on the leverage that companies and nations can get from data analysis and AI. You need access to advanced machines, and the struggle between government and big business… how does a newcomer start? One potential area that is under supported is the idea that the regulatory space is too onerous for ai companies to innovate. And all of us, the author urges, must become “poverty abolitionists…refusing to live as unwitting enemies of the poor. Most of those concerns assume a moderate degree of competence in the US military's efforts to adopt AI.



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