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You Look Like a Thing and I Love You

Original price was: ₨500,000.00.Current price is: ₨250,000.00.

You Look Like a Thing and I Love You is an amusing and insightful guide to understanding artificial intelligence through the lens of humor and real-life experiments. Janelle Shane, an AI researcher, takes readers on a journey to explore how AI works, what it can do, and why it sometimes produces hilariously weird or nonsensical outcomes.

Shane offers an accessible introduction to the core concepts of machine learning and neural networks, breaking down the complexity of these topics with engaging stories and quirky examples. She shows that AI is not just a futuristic, mysterious technology but something that affects our lives every day—from the recommendations on Netflix to the way self-driving cars think.

The book also explores the ethical challenges that come with AI, particularly around bias and fairness. Shane emphasizes that as AI becomes more pervasive, we need to think carefully about how it’s designed and used, ensuring that it serves everyone equitably.

A perfect read for anyone interested in AI—whether you’re a complete beginner or just curious about the strange and funny side of machine learning—You Look Like a Thing and I Love You is a delightful and informative guide that brings AI down to earth, showing that even the most advanced technology can sometimes have a sense of humor.

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You Look Like a Thing and I Love You

Key Features:

  1. Humorous and Accessible Introduction to AI:

    • Written in an entertaining and lighthearted tone, making complex AI concepts easy to understand and enjoyable.

    • The book blends humor with insights, offering a fun approach to what can often be a technical and intimidating subject.

  2. Real-Life AI Experiments:

    • Throughout the book, Janelle Shane shares personal AI experiments she’s conducted, showcasing both the quirky and unexpected results that come from machine learning.

    • Examples include AI writing love letters, generating weird recipe ideas, and even attempting to write jokes, all illustrating how AI learns and sometimes goes hilariously wrong.

  3. Explanation of Core AI Concepts:

    • Breaks down key AI concepts such as machine learning, neural networks, training algorithms, and bias in AI.

    • The book explains how AI works at a high level without delving too deep into technical jargon, so readers can grasp the basics without needing a computer science background.

  4. AI’s Impact on Everyday Life:

    • Discusses the various ways AI is already affecting our daily lives, including its presence in voice assistants, recommendation systems, autonomous vehicles, and more.

    • Shane makes connections between the technology and its real-world applications, helping readers understand the implications of AI on industries, privacy, and personal experiences.

  5. AI’s Weirdness and Unpredictability:

    • One of the book’s central themes is how AI can be unpredictably weird—even the most advanced algorithms can produce bizarre or nonsensical results.

    • The book highlights the limitations of AI and why it sometimes fails in strange ways, shedding light on the quirks and flaws of current technology.

  6. Exploring Ethical Questions and Bias:

    • Tackles ethics and bias in AI, explaining how algorithms can unintentionally reinforce societal biases based on the data they’re trained on.

    • Discusses the responsibility of developers and society to ensure AI is designed and used in a fair and equitable manner.

  7. AI for Fun and Creativity:

    • Emphasizes how AI isn’t just about efficiency and automation but also can be a tool for creativity—such as generating art, music, and writing.

    • Shane explores how AI might contribute to creative fields and even create unexpected or humorous content.

  8. Perfect for Non-Experts:

    • The book is designed for non-technical readers, making it ideal for anyone curious about artificial intelligence without needing to understand coding or deep machine learning theory.

    • Shane’s witty writing makes the subject matter both approachable and entertaining for people from all backgrounds.

  9. Fun Anecdotes and Illustrations:

    • Throughout the book, Shane includes quirky anecdotes, stories, and fun illustrations that help visualize AI concepts and make them stick.

    • These add to the book’s charm, keeping readers engaged while they learn about the technicalities of AI.

  10. Deep Dives into Weird AI Outcomes:

    • Shane doesn’t just show how AI works correctly—she also explores the unexpected results when AI goes wrong, such as its bizarre attempts to generate product names, write books, and even predict the future.

    • These quirky failures highlight the limitations of current AI and reinforce the importance of understanding its limitations.

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