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What does AI know about love, happiness and making a difference? Aum Golly is a book of poems written in 24 hours. It was made possible by GPT-3 - an advanced autoregressive language model published in 2020 by OpenAI. "... a collection that surprises with humor and delicateness..." - Goodreads review "... I have to say reading it was a pleasure..." - Finnish radio host Ruben Stiller on Yle "... a beautiful dialogue between man and machine..." - a review of the Finnish audiobook The deep learning model can generate text that is virtually indistinguishable from text written by humans: poems, recipes, summaries, legal text and even pieces of code. GPT-3 is autofill on steroids. Good poetry makes us feel something and see the world differently. Despite the gut reaction some of us may have towards AI-enhanced creativity, Aum Golly is a book like any other. You will love some of the poems. You will hate others. Some will make you wonder, but all of them will make you think. Award-winning writer and TEDx speaker Jukka Aalho has guided the AI and chosen the poems for the collection.
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Humorist Keaton Patti "forced a bot" to digest massive amounts of human media to produce these absurdly funny, “totally real,” “bot-generated” scripts, essays, advertisements, and more. Ever wonder what an AI bot might come up with if tasked with creative writing? From Olive Garden commercials to White House press briefings to Game of Thrones scripts, writer and comedian Keaton Patti’s “bot” recognizes and heightens the tropes of whatever it’s reproducing to hilarious effect. Each “bot-generated” piece can be enjoyed as surrealist commentary on the media we consume every day or simply as silly robot jokes—either way, you’ll probably end up laughing.
“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times
Fans of Elizabeth Moon and Anne Leckie will love this first thrilling adventure in an epic space opera trilogy—set in a future where alien technology comes at a steep price: human life. Aliens came to Earth 40 years ago. Their anatomy proved unfathomable and all attempts at communication failed. But through trade, humanity gained technology that allowed them to colonize the stars. The price: live humans for every alien faster-than-light drive. Kara’s sister was one of hundreds exchanged for this technology, and Kara has little love for aliens. So when she is drafted by GalDiv—the organization that oversees alien trades—it is under duress. A group of colonists have been kidnapped by aliens and taken to an uncharted planet, and an unusual team is to be sent to negotiate. As an ex-army sniper, Kara’s role is clear. But artist Marc has no combat experience, although the team’s pre-cog Tse is adamant that he has a part to play. All three know that success is unlikely. For how will they negotiate with aliens when communication between the species is impossible?
They thought this was just another salvage job. They thought wrong. An AI overseer and a human crew arrive on a distant planet to salvage an ancient UN starship. The overseer is unhappy. The crew, well, they're certainly no A-team. Not even a C-team on the best of days. And worse? Urmahon Beta, the planet, is at the ass-end of nowhere. Everybody expects this to be a long, ugly, and thankless job. Then it all goes disastrously wrong. What they thought was an uninhabited backwater turns out to be anything but empty. Megafauna roam the land, a rival crew with some terrifyingly high-powered gear haunts the dig site, and a secret that will change humanity forever is waiting in the darkness. Stuck on this unmapped, hostile planet, lacking resources, and with tech built by the cheapest bidder, the salvage crew must engineer their way to payday...and beat Urmahon Beta before it kills them all. Experience this space exploration adventure told from the perspective of a snarky artificial intelligence you won't soon forget. It's perfect for fans of The Martian, Red Dwarf, Firefly, and We Are Legion (We Are Bob).
"This book collects essays, stories, and poems ... [the author] wrote with OpenAI's GPT-3 language model, a neural net that generates text sequences"--Page xi.
Is it really possible to invent a machine that does the job of a writer? What is it about the landlady's house that makes it so hard for her guests to leave? Does Sir Basil Turton value most his wife or one of his priceless sculptures? These compelling tales are a perfect introduction to the adult writing of a storytelling genius.
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala