Showing titles in Computer Science

The writing economy is exploding with opportunities that previous generations could never have imagined. Yet, most writers struggle to earn a sustainable income because they focus solely on the craft while ignoring the business aspects that separate successful professionals from those who remain perpetually broke.

Busy schedule? Perfect. This lean audiobook gives you the exact moves to make ChatGPT 5 pay off today. In about an hour, you’ll set it up once, master reliable prompt patterns, and ship small results that compound. What you’ll get—paced for listening, built for action: • Custom Instructions that lock in your tone and rules so you stop re-explaining yourself. • Twelve durable prompt patterns (role, goal, constraints, format) that work without “magic words.

AI is already driving billions of dollars in online business growth. While most people waste time on weak prompts and gimmicks, a small group is quietly using AI to build thriving online businesses. Which side do you want to be on? If you’ve ever wished for a guide that replaces guesswork with real instructions, this is it. You’ll discover prompt systems you can copy today to create products, automate workflows, and build income sources that last. Each chapter focuses on practical action, not theory, so you can see results from the very first step.

For the last 100,000 years, we Sapiens have accumulated enormous power. But despite all our discoveries, inventions, and conquests, we now find ourselves in an existential crisis. The world is on the verge of ecological collapse. Misinformation abounds. And we are rushing headlong into the age of AI—a new information network that threatens to annihilate us. For all that we have accomplished, why are we so self-destructive?

In 2023, hundreds of AI luminaries signed an open letter warning that artificial intelligence poses a serious risk of human extinction. Since then, the AI race has only intensified. Companies and countries are rushing to build machines that will be smarter than any person. And the world is devastatingly unprepared for what would come next.

When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

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 methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

You’re stuck. More educated and capable than any generation before, yet somehow poorer, tighter on time, and watching others build wealth while you optimize routines. The 9-to-5 is already dead—but nobody told you what’s replacing it.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

What if human cloning isn’t a modern discovery, but an ancient technology rediscovered? Long before modern science, civilisations like the Sumerians and the Anunnaki may have practiced genetic manipulation, creating humanity as engineered slaves for labour and obedience, not children of gods. Myths like Adam and Eve and divine bloodlines could be encoded records of this lost history. Occultists like John Dee weren’t just dabbling in magic, they sought to create life, continuing a hidden tradition of cloning.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

En Nexus, Harari contempla a la humanidad desde la amplia perspectiva de la historia para analizar cómo las redes de información han hecho y deshecho nuestro mundo. Durante los últimos 100.000 años, los sapiens hemos acumulado un enorme poder. Pero, a pesar de todos los descubrimientos, inventos y conquistas, ahora nos enfrentamos a una crisis existencial: el mundo está al borde del colapso ecológico, abunda la desinformación y nos precipitamos hacia la era de la I.A. Con todo el camino andando, ¿por qué somos una especie autodestructiva?