Machine Intelligence

Are you curious about artificial intelligence but unsure how to turn that curiosity into cash? AI Novice to AI Entrepreneur is your ultimate guide to launching and scaling a profitable AI-powered business—no tech degree required. Packed with step-by-step frameworks, real-world examples, and mindset mastery tips, this guide transforms AI overwhelm into entrepreneurial clarity. You’ll learn how to think like a strategist, act like a CEO, and earn like a digital mogul.

From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.

ChatGPT has become a tool hundreds of millions use every day—yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people’s jobs, it is more likely to be someone using AI that will! This book explores the ‘big three’ AI chatbots, demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools.

Agentic AI goes beyond simply automating tasks. It can plan, make decisions, take action, and adapt to new information. AI agents are capable of collaborating with other agents, systems, and people—reshaping how work gets done and how value is created. The rise of these digital workers will have a profound effect on industries, roles, and organizations of all sizes.

Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology to better serve human needs. The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities.

AI Side Hustles 2025 by VentureNest Books is a practical guide for individuals looking to harness the power of artificial intelligence to create profitable side businesses. As technology advances swiftly toward 2025, the book encourages listeners to move beyond the constraints of traditional employment and explore new financial opportunities using AI.

Written with the verve of such works as The Big Short, The History of the Future, and The Spider Network, here is the fascinating, true story of the rise of Ethereum, the second-biggest digital asset in the world, the growth of cryptocurrency, and the future of the internet as we know it...

There has been a lot of ink devoted to discussions of how robots will replace us and take our jobs. But MIT Media Lab researcher and technology policy expert Kate Darling argues just the opposite, and that treating robots with a bit of humanity, more like the way we treat animals, will actually serve us better.

In the age of Artificial Intelligence, how you ask the question is just as important as the answer you receive. Understanding Prompt Engineering: 10 Tips for Better AI Results is your essential guide to unlocking the full potential of AI models like ChatGPT, Claude, and other large language systems. Whether you're a writer, analyst, educator, marketer, coder—or simply someone curious about the future—this book will show you how to communicate with AI effectively and get results that are precise, useful, and compelling.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

Personalized is a playbook for delivering true personalization at scale. In this book, Boston Consulting Group's Mark Abraham and Harvard Business School's David C. Edelman describe Five Promises of Personalization. Personalized is a playbook for delivering true personalization at scale. With detailed examples across industries—including retail, health care, banking, technology, and travel—this book will help executives learn how to put personalization at the center of their strategy, accelerate growth, and capture their share of the $2 trillion personalization prize.

L'intelligence artificielle peut vous instruire, écrire vos chansons, façonner vos désirs. Elle est brillante. Elle est utile. Elle peut tout "faire"... Sauf respirer. Sauf aimer. Sauf être. Le Souffle de la Machine n'est pas un livre sur la technologie. C'est un livre sur nous. Demain, l'intelligence artificielle permettra à un employé de faire en 10 heures le travail de 40. La vraie question n'est pas technologique, elle est humaine: que ferons-nous de ces 30 heures libérées? Exigerons-nous de cet employé qu'il produise quatre fois plus?

Artificial Intelligence Agents: Learn to Build Smart AI Agents with ChatGPT—No Coding, No Experience Needed is your gateway into the future of automation—designed especially for curious beginners, busy professionals, and ambitious side-hustlers.

Die Schriftstellerbranche bietet unzählige Möglichkeiten, die sich frühere Generationen nicht hätten vorstellen können. Dennoch fällt es den meisten Autoren schwer, ein nachhaltiges Einkommen zu erzielen, da sie sich ausschließlich auf ihr Handwerk konzentrieren und die geschäftlichen Aspekte außer Acht lassen, die erfolgreiche Profis von denen unterscheiden, die ständig finanzielle Schwierigkeiten haben.

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.

Eliezer Yudkowsky’s Inadequate Equilibria is a sharp and lively guidebook for anyone questioning when and how they can know better, and do better, than the status quo. Freely mixing debates on the foundations of rational decision-making with tips for everyday life, Yudkowsky explores the central question of when we can (and can’t) expect to spot systemic inefficiencies, and exploit them.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

The AI Mastery 3-in-1 Collection is your roadmap to go from experimenting with AI to building a cash-generating machine powered by automation, precision, and creativity. Whether you’re brand new or already using ChatGPT, this collection bridges the gap between potential and profit.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

Will AI take over?

The evolution of artificial intelligence can be traced back to the mid-20th century, when foundational concepts were first introduced by pioneers in computer science. Early developments focused on creating machines that could mimic human reasoning and problem-solving capabilities. These initial efforts laid the groundwork for the sophisticated algorithms and machine learning techniques that underpin modern AI systems.