Artificial Intelligence: What Do I Already Know About This?: From Turing’s question to the machine that writes for you

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Bol Artificial Intelligence: What Do I Already Know About This? From Turing's question to the machine that writes for you Series "In Twelve Evenings" Book 19 Vita Harwood >Why can a chatbot sound completely confident when it is wrong? How did Alan Turing's question about thinking machines lead to neural networks, large language models, and systems that can write, draw, and recognize faces? This short course explains artificial intelligence through its mechanisms, not through headlines. Across twelve evenings, readers move from early rule-based AI to machine learning, perceptrons, backpropagation, ImageNet, computer vision, tokens, transformers, generative models, and today's debates about responsibility. The course also examines hallucinations, bias in data, deepfakes, black-box decisions, the changing world of work, and the open questions shaping AI's future. No programming is required. Every lesson includes key terms, a profile of a researcher who changed the field, a verified surprising case, a ten-question quiz, and a simple hands-on experiment. Answer explanations, a full glossary, sources, and further reading are collected at the end. Written for for curious adults starting from zero, this book offers a clear way to understand what AI can do, why it works, where it fails, and what to ask before trusting it.

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Artificial Intelligence: What Do I Already Know About This? From Turing's question to the machine that writes for you Series "In Twelve Evenings" Book 19 Vita Harwood >Why can a chatbot sound completely confident when it is wrong? How did Alan Turing's question about thinking machines lead to neural networks, large language models, and systems that can write, draw, and recognize faces? This short course explains artificial intelligence through its mechanisms, not through headlines. Across twelve evenings, readers move from early rule-based AI to machine learning, perceptrons, backpropagation, ImageNet, computer vision, tokens, transformers, generative models, and today's debates about responsibility. The course also examines hallucinations, bias in data, deepfakes, black-box decisions, the changing world of work, and the open questions shaping AI's future. No programming is required. Every lesson includes key terms, a profile of a researcher who changed the field, a verified surprising case, a ten-question quiz, and a simple hands-on experiment. Answer explanations, a full glossary, sources, and further reading are collected at the end. Written for for curious adults starting from zero, this book offers a clear way to understand what AI can do, why it works, where it fails, and what to ask before trusting it.


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