No Artificial Limits


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Artificial Intelligence


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Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.




The Limits of Language and the Search for Understanding in Artificial Intelligence


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The development of artificial intelligence (AI) has led to remarkable advances in natural language processing (NLP), enabling machines to process human language with increasing sophistication. While this progress holds extraordinary promise for various applications, it also raises profound philosophical questions about meaning, sentience and understanding within language games. This paper delves into the intricate relationship and interplay between AI, language and meaning. It explores some of the philosophical underpinnings of language, examining how AI systems can extract, translate and manipulate semantically sensible content. It also investigates a few of the challenges of developing AI systems with the ability to ‘understand’ meaningful language that goes beyond surface semantic and syntactic proficiency, algorithmic intelligence and the probabilistic semantic route finding used by Large Language Models (LLMs) with their reliance on large data sets. The paper addresses the wider limits of logic and language for humans as well as for digital intelligence. By examining some of the philosophical and practical dimensions of meaning in AI NLP and LLM, this paper aims to foster a deeper understanding of the challenges and opportunities that lie ahead in this rapidly evolving field. It seeks to promote informed discussions about AI language models, ensuring that these powerful tools are used to improve human understanding and communication. The paper seeks to encourage greater humility in how Homo sapiens define and approach the concept of intelligence. The author deprecates our historic excessive interspecies exceptionalism. The author makes no claims of original thoughts or research in the fields of philosophy of language, linguistics or the development of more generally applicable AI. The paper is intended to help specify the key issues using ordinary human readable language and to understand some of the main conceptual issues involved in the development of artificial general intelligence (AGI). Images stated as being by the author have been created using generative AI image creation tools.




Toward the Light


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Essays and Addresses


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Drama and Mankind


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The Century


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The Practitioner


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The Theory and Practice of Translation


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"The Theory and Practice of Translation," first published in 1982 and a companion work to "Toward a Science of Translating" (Brill, 1964), analyses and describes the set of processes involved in translating. Bible translating, the focus of this work, offers a unique subject for such a study, as it has an exceptionally long history, involves more than 2,000 languages, a vast range of cultures and a broader range of literary structures than any other type of translating. Not only of interest to Biblical scholars, therefore, this work explores issues of textual meanings and the procedures for communicating these meanings into other languages and cultures.