Superintelligence: The Promise and Peril of Advanced AI Audiolibro Por Ajit Singh arte de portada

Superintelligence: The Promise and Peril of Advanced AI

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Superintelligence: The Promise and Peril of Advanced AI

De: Ajit Singh
Narrado por: Virtual Voice
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 This book, "Superintelligence: The Promise and Peril of Advanced AI," is born out of a critical need for a new kind of textbook. For too long, the study of AI has been bifurcated. On one side lie the deeply technical manuals, dense with mathematics and code, accessible only to specialists. On the other, the speculative, often sensationalist, narratives that discuss the future of AI without a firm grounding in its underlying principles. This book serves as a bridge. It is designed for the next generation of engineers, thinkers, and leaders—the B.Tech and M.Tech students who will not just use AI, but will build, deploy, and govern it.


Key Features:


1. Curriculum Alignment: Strictly follows the AICTE syllabus for AI/ML courses and is compatible with leading international university curricula, making it a globally relevant resource.
2. Conceptual Clarity: Breaks down highly complex topics like the Transformer architecture and AI alignment into simple, intuitive explanations with relatable, real-world examples.
3. Practical, Hands-On Approach: Features practical examples throughout the text and a detailed, step-by-step capstone project that allows students to build a tangible AI application.
4. Balanced "Promise and Peril" Framework: Dedicates equal weight to the incredible potential of AI (The Promise) and the critical safety and ethical challenges it poses (The Peril).
5. Up-to-Date Content: Covers the very latest advancements in the field, including Large Language Models (LLMs), Generative AI, prompt engineering, and current AI alignment techniques.
6. Robust Pedagogical Structure: Each chapter includes clear learning objectives, key term definitions, illustrative case studies, diagrams, and end-of-chapter review questions to reinforce learning and facilitate self-assessment.
7. Ethical Foundation: A strong ethical thread runs through the entire book, with dedicated chapters on bias, fairness, alignment, and governance, preparing students for responsible innovation.


The book's core philosophy is to provide a balanced and critical perspective. It demystifies the complex technologies driving the AI revolution—such as Transformers and Large Language Models—while simultaneously instilling a deep awareness of the immense responsibilities that come with developing them. It moves beyond a purely technical treatment to embrace the ethical, societal, and governance challenges that are now inseparable from the practice of AI engineering. This integrated approach ensures that students are not just trained as coders, but educated as responsible architects of the future.
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