When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

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.

Robert McKee's popular writing workshops have earned him an international reputation. The list of alumni with Academy Awards and Emmy Awards runs off the page. The cornerstone of his program is his singular book, Story, which has defined how we talk about the art of story creation. Now in Storynomics, McKee partners with digital marketing expert and Skyword CEO Tom Gerace to map a path for brands seeking to navigate the rapid decline of interrupt advertising.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

For most of human history the world was a magical and enchanted place ruled by forces beyond our understanding. The rise of science and Descartes's division of mind from world made materialism our ruling paradigm, in the process asking whether our own consciousness—i.e., souls—might be illusions. Now the inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, and the spread of digital metaphors for self-understanding, the core questions of existence urgently require rethinking.

In this eye-opening account, Cal Newport debunks the long-held belief that "follow your passion" is good advice. Not only is the cliché flawed - preexisting passions are rare and have little to do with how most people end up loving their work - but it can also be dangerous, leading to anxiety and chronic job hopping. After making his case against passion, Newport sets out on a quest to discover the reality of how people end up loving what they do.

As high achievers, we’ve been conditioned to believe that the path to success is paved with relentless work. That if we want to overachieve, we have to overexert, overthink, and overdo. That if we aren’t perpetually exhausted, we’re not doing enough. But lately, working hard is more exhausting than ever. And the more depleted we get, the more effort it takes to make progress. Stuck in an endless loop of “Zoom, eat, sleep, repeat”, we’re often working twice as hard to achieve half as much.

From mechanical looms to the combustion engine to the first computers, new technologies have always provoked panic about workers being replaced by machines. For centuries, such fears have been misplaced, and many economists maintain that they remain so today. But as Daniel Susskind demonstrates, this time really is different. Breakthroughs in artificial intelligence mean that all kinds of jobs are increasingly at risk.

Future-proof your career and maximize your competitive advantage by learning the skill necessary to stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way in this essential guide. Scott Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself - among them Ben Franklin, Judit Polgar, and Richard Feynman, as well as a host of others, such as little-known modern polymaths like Nigel Richards who won the World Championship of French Scrabble - without knowing French.

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.

Developing and implementing a strategy is the central task of a leader. A good strategy is a specific and coherent response to - and approach for - overcoming the obstacles to progress. A good strategy works by harnessing and applying power where it will have the greatest effect. Yet, Rumelt shows that there has been a growing and unfortunate tendency to equate Mom-and-apple-pie values, fluffy packages of buzzwords, motivational slogans, and financial goals with “strategy”.

At Amazon, "Day One" is code for inventing like a startup, with little regard for legacy. Day Two is, in Jeff Bezos' own words, "stasis, followed by irrelevance, followed by excruciating, painful decline, followed by death." Most companies today are set up for Day Two. They build advantages and defend them fiercely, rather than invent the future. But Amazon and fellow tech titans Facebook, Google, and Microsoft are operating in Day One: They prioritize reinvention over tradition and collaboration over ownership.

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.

Robert Greene is a master guide for millions of listeners, distilling ancient wisdom and philosophy into essential texts for seekers of power, understanding, and mastery. Now he turns to the most important subject of all - understanding people's drives and motivations, even when they are unconscious of them themselves. Whether at work, in relationships, or in shaping the world around you, The Laws of Human Nature offers brilliant tactics for success, self-improvement, and self-defense.

From social disruptions like economic recessions, pandemics, and new technologies to individual disruptions like getting married or divorced, illness and injury, career transitions, and becoming a parent, we undergo change and transformation—both good and bad—regularly. Change is not the exception. It’s the rule. Yet we endlessly fight it, often viewing it as a threat to our stability and sense of self.

Tell a stranger that you talk to yourself, and you’re likely to get written off as eccentric. But the truth is that we all have a voice in our head. When we talk to ourselves, we often hope to tap into our inner coach but find our inner critic instead. When we’re facing a tough task, our inner coach can buoy us up: Focus - you can do this. But, just as often, our inner critic sinks us entirely: I’m going to fail. They’ll all laugh at me. What’s the use?

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

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.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

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.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

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.

Nobody needs telling there isn’t enough time. We’re obsessed with our lengthening to-do lists, our overfilled inboxes, work-life balance, and the ceaseless battle against distraction; and we’re deluged with advice on becoming more productive and efficient, and “life hacks” to optimize our days. But such techniques often end up making things worse. The sense of anxious hurry grows more intense, and still the most meaningful parts of life seem to lie just beyond the horizon.

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what this technology means for us all.

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.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

Essentialism is more than a time-management strategy or a productivity technique. It is a systematic discipline for discerning what is absolutely essential, then eliminating everything that is not, so we can make the highest possible contribution toward the things that really matter.

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.

Future-proof your career and maximize your competitive advantage by learning the skill necessary to stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way in this essential guide. Scott Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself - among them Ben Franklin, Judit Polgar, and Richard Feynman, as well as a host of others, such as little-known modern polymaths like Nigel Richards who won the World Championship of French Scrabble - without knowing French.

Minimalism is the art of knowing how much is just enough. Digital minimalism applies this idea to our personal technology. It's the key to living a focused life in an increasingly noisy world. In this timely and enlightening book, the best-selling author of Deep Work introduces a philosophy for technology use that has already improved countless lives.