In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

In June of 2024, thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most valuable corporation on Earth. The Thinking Machine is the astonishing story of how a designer of video game equipment conquered the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia’s meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI.

When turmoil hits, executives and investors face notoriously unreliable macroeconomic forecasts, whipsawing data, and contradictory opinions. Are disruptions transient and ephemeral-or permanent and structural? False alarms are costly traps, but so are true structural changes that go undetected. Leaders must also assess the doom-laden public macroeconomic discourse, which habitually presents worst-case scenarios as foregone conclusions.

The breakthrough concepts of Pattern Breakers come from the observations of Mike Maples Jr., a seasoned venture capitalist, who noticed something strange. Start-ups like Twitter, Twitch, and Lyft had achieved extraordinary success despite their disregard for “best practices.” In contrast, other startups deemed highly promising often failed, even when they seemed to do everything right. Seeking answers, Maples and coauthor Peter Ziebelman set out to discover the hidden forces that drive extraordinary start-up success.

In Quit, Duke teaches you how to get good at quitting. Drawing on stories from elite athletes like Mount Everest climbers, founders of leading companies like Stewart Butterfield, the CEO of Slack, and top entertainers like Dave Chappelle, Duke explains why quitting is integral to success, as well as strategies for determining when to hold 'em, and when to fold 'em, that will save you time, energy, and money.

It used to be that ravaging another country’s economy required blockading its ports and laying siege to its cities. Now all it takes is a statement posted online by the U.S. government. In Chokepoints, Edward Fishman, a former top State Department sanctions official, takes us deep into the back rooms of power to reveal the untold history of the last two decades of U.S. foreign policy, in which America renounced the gospel of globalization and waged a new kind of economic war.

There’s no more important sector of institutional portfolios or the global economy to understand than private equity. Private equity owned businesses are everywhere around us and touch every aspect of our daily lives. In Private Equity Deals, Ted Seides gives you an insight to the conversations that typically happen behind the closed doors of institutional investors and private equity managers. Through a series of case studies , Private Equity Deals shares the dynamics of deal making, companies, and ownership that make private equity a force in the world.

From launchpad explosions to a pernicious cricket infestation to the demanding management style of Musk himself, the rise of SpaceX was beset with challenges and far from inevitable. Find out how the startup beat the odds and flew high enough to outpace their rivals... and where they're going next.

Principles of Economics is a university-level textbook in economics that offers a clear and concise exploration of the most important economic concepts. This book is unapologetically Austrian in its approach. It tackles major economic concepts and topics independently, but in a logical sequence aimed at delivering the listener an understanding of economics at an individual and societal level, and the widespread implications of economics as a topic.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.