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as an ai language model meme: I Forced a Bot to Write This Book Keaton Patti, 2020-11-17 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. |
as an ai language model meme: Say What? Xena Mindhurst, 2024-10-14 Say What? embarks on a captivating journey through the world of idioms, proverbs, and colloquialisms, unraveling the mysteries behind the phrases we use daily. This comprehensive exploration delves into the historical origins, cultural evolution, and psychological appeal of common expressions, offering readers a unique perspective on language and human nature. The book argues that our everyday phrases are windows into cultural values, historical events, and universal human experiences. By examining sayings like raining cats and dogs and tracing their unexpected origins, readers gain insight into the rich tapestry of human communication. Say What? systematically guides readers through various categories of expressions, from those related to animals to weather phenomena, drawing on evidence from etymology, historical documents, and cognitive linguistics. What sets this book apart is its accessible approach to complex linguistic concepts, using anecdotes and humor to engage a wide audience. By exploring the hidden meanings and contexts of everyday phrases, Say What? encourages readers to think critically about language and its impact on our lives, offering practical applications for improved communication and cultural awareness. |
as an ai language model meme: Biological Language Model: Theory And Application Qiwen Dong, Xiaoyang Jing, Aoying Zhou, Xiuzhen Hu, 2020-06-05 Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language model is a new scientific research topic in bioinformatics that has been extensively studied by the authors. The basic theory and applications of this model are presented in this book to serve as an reference for graduate students and researchers. |
as an ai language model meme: Breaking the Language Barrier: Demystifying Language Models with OpenAI Rayan Wali, 2023-03-08 Breaking the Language Barrier: Demystifying Language Models with OpenAI is an informative guide that covers practical NLP use cases, from machine translation to vector search, in a clear and accessible manner. In addition to providing insights into the latest technology that powers ChatGPT and other OpenAI language models, including GPT-3 and DALL-E, this book also showcases how to use OpenAI on the cloud, specifically on Microsoft Azure, to create scalable and efficient solutions. |
as an ai language model meme: You Look Like a Thing and I Love You Janelle Shane, 2019-11-05 As heard on NPR's Science Friday, discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an accessible, informative, and hilarious introduction to the weird and wonderful world of artificial intelligence (Ryan North). You look like a thing and I love you is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really Vampire Hog Bride? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way. —Adam Grant, New York Times bestselling author of Originals |
as an ai language model meme: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 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 |
as an ai language model meme: 1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era Florin Badita, 2023-01-03 1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era is a book written by Florin Badita that explores the potential uses of advanced large language models (LLMs) like ChatGPT in various industries and scenarios. The book provides 1337 use cases and around 4000 examples of how these technologies can be applied in the future. The author, Florin Badita, is a data scientist, social entrepreneur, activist, and artist who has written about his experiences with data analysis on Medium. He is on the Forbes 30 under 30 list, a TedX speaker, and Landecker Democracy Fellow 2021-2022. He is known for his work in activism, founding the civic group Corruption Kills in 2015, GIS, data analysis, and data mining. The book covers a variety of tips and strategies, including how to avoid errors when converting between different units, how to provide context and examples to improve the LLM's understanding of the content, and how to use the Markdown language to format and style text in chatbot responses. The book is intended for anyone interested in learning more about the capabilities and potential uses of ChatGPT and other language models in the rapidly evolving world of artificial intelligence. After the introduction part and the Table of content, the book is split into 20 categories, each category then being split into smaller categories with at least one use-case and multiple examples A real example from the book: Category: 4 Science and technology [...] Sub-Category: 4.60 Robotics 4.60.1 Text Generation General example text prompt: Generate a description of a new robot design Formula: Generate [description] of [robot design] Specific examples of prompts: Generate a detailed description of a robot designed for underwater exploration Generate a brief overview of a robot designed for assisting with construction tasks Generate a marketing pitch for a robot designed to assist with household chores 4.60.2 Programming Assistance General example text prompt: Write code to implement a specific behavior in a robot Formula: Write code to [implement behavior] in [robot] Specific examples of prompts: Write code to make a robot follow a specific path using sensors and control algorithms Write code to make a robot respond to voice commands using natural language processing Write code to make a robot perform basic tasks in a manufacturing setting, such as moving objects from one location to another |
as an ai language model meme: c't Working with AI c't-Redaktion, 2024-01-24 The special issue of c't KI-Praxis provides tests and practical instructions for working with chatbots. It explains why language models make mistakes and how they can be minimised. This not only helps when you send questions and orders to one of the chatbots offered online. If you do not want to or are not allowed to use the cloud services for data protection reasons, for example, you can also set up your own voice AI. The c't editorial team explains where to find a suitable voice model, how to host it locally and which service providers can host it. The fact that generative AI is becoming increasingly productive harbours both opportunities and risks. Suitable rules for the use of AI in schools, training and at work help to exploit opportunities and minimise risks. |
as an ai language model meme: Taming the Machine Nell Watson, 2024-05-03 AI promises to transform our world, supercharging productivity and driving new innovations. Taming the Machine uncovers how you can responsibly harness the power of AI with confidence. AI has the potential to become a personal assistant, a creative partner, an editor and a research tool all at once. But it also represents a threat to your livelihood, data and privacy. Taming the Machine offers the practical insights and knowledge you need to work with AI with an ethical and responsible approach. In this book, celebrated AI expert and ethicist Nell Watson offers practical insights on how you can ethically innovate with AI. It delves into the ethical issues of unbridled AI, highlighting the challenges that it will bring to society and business unless we fortify cybersecurity, safeguard our data, and understand the dangerous potential of artificial intelligence. Step into the future and supercharge your performance safely by Taming the Machine. |
as an ai language model meme: 2062 Toby Walsh, 2018-07-30 ‘A compelling invitation to imagine the future we want’ —BRIAN CHRISTIAN, author of The Most Human Human By 2062 we will have built machines as intelligent as us – so the leading artificial intelligence and robotics experts predict. But what will this future look like? In 2062, world-leading researcher Toby Walsh considers the impact AI will have on work, war, economics, politics, everyday life and even death. Will automation take away most jobs? Will robots become conscious and take over? Will we become immortal machines ourselves, uploading our brains to the cloud? How will politics adjust to the post-truth, post-privacy digitised world? When we have succeeded in building intelligent machines, how will life on this planet unfold? Based on a deep understanding of technology, 2062 describes the choices we need to make today to ensure that the future remains bright. ‘Clarity and sanity in a world full of fog and uncertainty – a timely book about the race to remain human.’ —RICHARD WATSON, author of Digital Vs. Human and futurist-in-residence at Imperial College, London ‘One of the deepest questions facing humanity, pondered by a mind well and truly up to the task.’ —ADAM SPENCER, broadcaster |
as an ai language model meme: The Line James Boyle, 2024-10-22 How AI will challenge our ideas about personhood. Chatbots like ChatGPT have challenged human exceptionalism: we are no longer the only beings capable of generating language and ideas fluently. But is ChatGPT conscious? Or is it merely engaging in sophisticated mimicry? And what happens in the future if the claims to consciousness are more credible? In The Line, James Boyle explores what these changes might do to our concept of personhood, to “the line” we believe separates our species from the rest of the world but that also separates “persons” with legal rights from objects. The personhood wars—over the rights of corporations and animals, over the question of when life begins and ends—have always been contentious. We’ve even denied the personhood of members of our own species. How will those old fights affect the new ones, and vice versa? Boyle pursues these questions across a dizzying array of fields. He discusses moral philosophy and science fiction, transgenic species, nonhuman animals, the surprising history of corporate personality, and AI itself. Engaging with empathy and anthropomorphism, courtroom battles on behalf of chimps, and doom-laden projections about the threat of AI, The Line offers fascinating and thoughtful answers to questions about our future that will arrive sooner than we think. |
as an ai language model meme: Family Bonds Ellen K. Feder, 2007 No further information has been provided for this title. |
as an ai language model meme: FAIK Perry Carpenter, 2024-08-20 Learn to navigate a world of deepfakes, phishing attacks, and other cybersecurity threats emanating from generative artificial intelligence In an era where artificial intelligence can create content indistinguishable from reality, how do we separate truth from fiction? In FAIK: A Practical Guide to Living in a World of Deepfakes, Disinformation, and AI-Generated Deceptions, cybersecurity and deception expert Perry Carpenter unveils the hidden dangers of generative artificial intelligence, showing you how to use these technologies safely while protecting yourself and others from cyber scams and threats. This book provides a crucial understanding of the potential risks associated with generative AI, like ChatGPT, Claude, and Gemini, offering effective strategies to avoid falling victim to their more sinister uses. This isn't just another book about technology – it's your survival guide to the digital jungle. Carpenter takes you on an insightful journey through the Exploitation Zone, where rapid technological advancements outpace our ability to adapt, creating fertile ground for deception. Explore the mechanics behind deepfakes, disinformation, and other cognitive security threats. Discover how cybercriminals can leverage even the most trusted AI systems to create and spread synthetic media and use it for malicious purposes. At its core, FAIK is an empowering exposé in which Carpenter effectively weaves together engaging narratives and practical insights, all aimed to equip you with the knowledge to recognize and counter advanced tactics with practical media literacy skills and a deep understanding of social engineering. You will: Learn to think like a hacker to better defend against digital threats. Gain practical skills to identify and defend against AI-driven scams. Develop your toolkit to safely navigate the Exploitation Zone. See how bad actors exploit fundamental aspects of generative AI to create weapons grade deceptions. Develop practical skills to identify and resist emotional manipulation in digital content. Most importantly, this is ultimately an optimistic book as it predicts a powerful and positive outcome as a period of cooperation, something now inconceivable, develops as it always does during crises and the future is enhanced by amazing new technologies and fabulous opportunities on the near horizon. Written by an expert, yet accessible to everyone, FAIK is an indispensable resource for anyone who uses technology and wants to stay secure in the evolving digital landscape. This book not only prepares you to face the onslaught of digital deceptions and AI-generated threats, but also teaches you to think like a hacker to better defend against them. |
as an ai language model meme: Boomeritis Ken Wilber, 2003-09-09 Ken Wilber's latest book is a daring departure from his previous writings—a highly original work of fiction that combines brilliant scholarship with tongue-in-cheek storytelling to present the integral approach to human development that he expounded in more conventional terms in his recent A Theory of Everything. The story of a naïve young grad student in computer science and his quest for meaning in a fragmented world provides the setting in which Wilber contrasts the alienated flatland of scientific materialism with the integral vision, which embraces body, mind, soul, and spirit in self, culture, and nature. The book especially targets one of the most stubborn obstacles to realizing the integral vision: a disease of egocentrism and narcissism that Wilber calls boomeritis because it seems to plague the baby-boomer generation most of all. Through a series of sparkling seminar-lectures skillfully interwoven with the hero's misadventures in the realms of sex, drugs, and popular culture, all of the major tenets of extreme postmodernism are criticized—and exemplified—including the author's having a bad case of boomeritis himself. Parody, intellectual slapstick, and a mind-twisting surprise ending unite to produce a highly entertaining summary of the work of cutting-edge theorists in human development from around the world. |
as an ai language model meme: Artificial Intelligence in HCI Helmut Degen, Lauren Reinerman-Jones, 2020-07-10 This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. The conference presents results from academic and industrial research, as well as industrial experiences, on the use of Artificial Intelligence technologies to enhance Human-Computer Interaction. From a total of 6326 submissions, a total of 1439 papers and 238 posters has been accepted for publication in the HCII 2020 proceedings. The 30 papers presented in this volume were organized in topical sections as follows: Human-Centered AI; and AI Applications in HCI.pical sections as follows: Human-Centered AI; and AI Applications in HCI. |
as an ai language model meme: Choreomata Roberto Alonso Trillo, Marek Poliks, 2023-12-21 Is artificial intelligence (AI) becoming more and more expressive, or is human thought adopting more and more structures from computation? What does it mean to perform oneself through AI, or to construct one’s subjectivity through AI? How does AI continue to complicate what it means to have a body? Has the golden age of AI, especially with regards to creative applications, already ended? Choreomata: Performance and Performativity after AI is a book about performance and performativity, but more specifically, it is a book about the performance of artificiality and the performance of intelligence. Both humans and human-designed computational forces are thoroughly engaged in an entangled, mutual performance of AI. Choreomata spins up a latticework of interdisciplinary thought, pairing theoretical inquiry from philosophy, information theory, and computer science with practical case studies from visual art, dance, music, and social theory. Through cross-disciplinary proportions and a diverse roster of contributors, this book contains insights for computer scientists, social scientists, industry professionals, artists, and beyond. |
as an ai language model meme: Reading with Peter Brooks Rachel Bowlby, 2024-11-30 For many decades Peter Brooks's critical writing has been a force of illumination and inspiration for readers of many kinds, with memorable books that continue to generate new thinking. Reading for the Plot was perhaps the best known of these until Brooks published Seduced by Story (2022), a provocative calling out of the now ubiquitous cultural stress on 'stories' of all and any kind.The mini-essays in this volume build on the diverse strands of Brooks's work in their own ways, to demonstrate -and celebrate-its significance for critical thinking across a range of different disciplinary fields and institutional settings: in literary history and narrative theory; in psychoanalytic and legal studies; through interdisciplinary initiatives at Yale. There are also two longer essays by Peter Brooks himself, including one on his experience of prison teaching. |
as an ai language model meme: A Companion to Public Philosophy Lee McIntyre, Nancy McHugh, Ian Olasov, 2022-04-19 The first anthology devoted to the theory and practice of all forms of public philosophy A Companion to Public Philosophy brings together in a single volume the diverse practices, modalities, and perspectives of this rapidly growing field. Forty-two chapters written by established practitioners and newer voices alike consider questions ranging from the definition of public philosophy to the value of public philosophy to both society and philosophy itself. Throughout the book, philosophers offer insights into the different publics they have engaged, the topics they have explored, the methods they have used and the lessons they have learned from these engagements. The Companion explores important philosophical issues concerning the practice of philosophy in the public sphere, how public philosophy relates to advocacy, philosophical collaborations with political activists, locations where public philosophy can be done, and more. Many essays highlight underserved topics such as effective altruism, fat activism, trans activism, indigenous traditions, and Africana philosophy, while other essays set the stage for rigorous debates about the boundaries of public philosophy and its value as a legitimate way to do philosophy. Discusses the range of approaches that professional philosophers can use to engage with non-academic audiences Explores the history and impact of public philosophy from the time of Socrates to the modern era Highlights the work of public philosophers concerning issues of equity, social justice, environmentalism, and medical ethics Covers the modalities used by contemporary public philosophers, including film and television, podcasting, internet memes, and community-engaged teaching Includes essays by those who bring philosophy to corporations, government policy, consulting, American prisons, and activist groups across the political spectrum A Companion to Public Philosophy is essential reading for philosophers from all walks of life who are invested in and curious about the ways that philosophy can impact the public and how the public can impact philosophy. It is also an excellent text for undergraduate and graduate courses on the theory and practice of public philosophy as well as broader courses on philosophy, normative ethics, and comparative and world philosophy. |
as an ai language model meme: Religion and Artificial Intelligence Beth Singler, 2024-10-31 Artificial intelligence (AI) is rarely out of the news or the public imagination. Images of red-eyed Terminators illustrate press accounts of incremental advances in medical diagnosis, facial recognition, natural language processing, and robotics. Such advances are transforming society through measurable impacts on people’s decisions and opportunities. Religion and Artificial Intelligence: An Introduction explores an emerging field with a religious studies approach, drawing on cultural and digital anthropological methods to demonstrate the entanglements of religion and AI, our imaginaries of these objects and our ideas about their utopian or dystopian futures. It addresses key topics, including the following: What AI is and is not. How religions are reacting to AI with examples of rejection, adoption, and adaptation. How established religions understand creation and place human-like AI within that. How overtly secular and even ‘new atheist’ groups understand AI as a tool for liberation from human evolution and religion. Religious visions of superintelligent AI. This engaging book is essential for anyone considering the relationship between religion, science and technology, and interested in the questions raised by transhumanism, posthumanism, and new religious movements. |
as an ai language model meme: AI & The Industry Thorsten Bohnenberger, 2023-12-07 Explore the fascinating field of Artificial Intelligence and its profound impact on the industry in this insightful book. With a focus on the positive potentials of AI, the author navigates through the subtleties of this transformative technology. This book aims to empower readers to engage in informed discussions about AI and contribute to business decisions involving its application. The author's collaboration with ChatGPT, a generative AI tool currently gaining a lot of attention, resulted in a well-structured and comprehensive exploration of AI & The Industry. Being a proof of concept of effective human-AI collaboration itself, the book provides a comprehensive AI overview, both readable and informative. Stripped of technical jargon, algorithms, and intricate mathematical formulae, the narrative unfolds in pure English language, making it accessible to a broad audience. This book is an ideal starting point for readers who want to comprehend the versatility of Artificial Intelligence itself as well as its applications in industry. Join the exploration, gain insights, and make AI a joyful part of your reading adventure. |
as an ai language model meme: Influence and Escalation Rebecca Hersman, Eric Brewer, Lindsey Sheppard, Maxwell Simon, 2022-01-12 Technology-enabled influence operations, including disinformation, will likely figure prominently in adversary efforts to impede U.S. crisis response and alliance management in high-risk, high-impact scenarios under a nuclear shadow. Both Russia and China recognize their conventional military disadvantage vis-à-vis conflict with the United States. As a result, both nations use sub-conventional tactics and operations to support their preferred strategies for achieving favorable outcomes while attempting to limit escalation risks. Such strategies include an array of activities loosely identified as influence operations, focused on using and manipulating information in covert, deniable, or obscure ways to shape the strategic environment. This report presents eight scenarios—four focused on Russia and four focused on China—that invite potential escalation risks and demonstrate how the tools and tactics of influence operations could be employed to challenge detection, response, and crisis management. It explores a range of potential escalatory pathways and destabilizing consequences if adversary influence operations engage strategic interests and targets in high-risk scenarios and identifies key takeaways and recommendations for policymakers to better identify and defend against adversary influence operations. |
as an ai language model meme: The Atlas of AI Kate Crawford, 2021-04-06 The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind automated services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world. |
as an ai language model meme: AI Snake Oil Arvind Narayanan, Sayash Kapoor, 2024-09-24 From two of TIME’s 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and products Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will. While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it’s being built, marketed, and used in areas such as education, medicine, hiring, banking, insurance, and criminal justice. The book explains the crucial differences between types of AI, why organizations are falling for AI snake oil, why AI can’t fix social media, why AI isn’t an existential risk, and why we should be far more worried about what people will do with AI than about anything AI will do on its own. The book also warns of the dangers of a world where AI continues to be controlled by largely unaccountable big tech companies. By revealing AI’s limits and real risks, AI Snake Oil will help you make better decisions about whether and how to use AI at work and home. |
as an ai language model meme: Artificial Intelligence for Marketing Jim Sterne, 2017-08-14 A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the need-to-know aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve. |
as an ai language model meme: Blurring Boundaries of Journalism in Digital Media María-Cruz Negreira-Rey, |
as an ai language model meme: Poor Technology Levi Checketts, 2024-01-23 In recent years, artificial intelligence (AI) has moved in popular discourse from the purview of science-fiction imaginings to the key financial sector of the twenty-first century. As world powers, trillion-dollar companies, and public intellectuals emphasize the importance of AI, the general concerns people raise relate to economic movement, control, bias, and safety.?? This book adds a further concern, namely the way our approach to AI reinforces assumptions about dignity and personhood tied to the sort of thinking that is characteristic of bourgeois capitalists. The experience of poverty reveals that people who are poor do not think the same way as the upper classes--their experience of the world must be understood through the reality of survival within resource-scarce settings and the attendant domination and discrimination that come with being poor. These experiences do not fit well with the ideal choice selection model that underlies AI modeling, and numerous failures of AI to help the poor demonstrate that those who benefit primarily from AI are those who already live well.?? As a result, the fervor surrounding AI often serves to dehumanize the poor by eliminating employment opportunities, automating social work, reinforcing biases, and prioritizing profit over stability. Worst of all, however, AI functions to satisfy a psychological need for us to have others against whom we can distinguish ourselves without having to feel guilty about the reality of the struggle of the poor. Taking seriously the theological perspective of the preferential option for the poor, this work contends that to avoid relegating poor people to nonhuman status, we must be willing to put aside the fantasy that AI is intelligent and focus rather on the all-too-human embodied reality of the poor. |
as an ai language model meme: Building Chatbots with Python Sumit Raj, 2018-12-12 Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book. |
as an ai language model meme: GPT-3 Sandra Kublik, Shubham Saboo, 2022-07-11 GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has powered a staggering number of applications that have now grown into full-fledged startups generating business value. This book will be a deep dive into what GPT-3 is, why it is important, what it can do, what has already been done with it, how to get access to it, and how one can build a GPT-3 powered product from scratch. This book is for anyone who wants to understand the scope and nature of GPT-3. The book will evaluate the GPT-3 API from multiple perspectives and discuss the various components of the new, burgeoning economy enabled by GPT-3. This book will look at the influence of GPT-3 on important AI trends like creator economy, no-code, and Artificial General Intelligence and will equip the readers to structure their imaginative ideas and convert them from mere concepts to reality. |
as an ai language model meme: A History of Fake Things on the Internet Walter Scheirer, 2023-12-05 As all aspects of our social and informational lives increasingly migrate online, the line between what is real and what is digitally fabricated grows ever thinner—and that fake content has undeniable real-world consequences. A History of Fake Things on the Internet takes the long view of how advances in technology brought us to the point where faked texts, images, and video content are nearly indistinguishable from what is authentic or true. Computer scientist Walter J. Scheirer takes a deep dive into the origins of fake news, conspiracy theories, reports of the paranormal, and other deviations from reality that have become part of mainstream culture, from image manipulation in the nineteenth-century darkroom to the literary stylings of large language models like ChatGPT. Scheirer investigates the origins of Internet fakes, from early hoaxes that traversed the globe via Bulletin Board Systems (BBSs), USENET, and a new messaging technology called email, to today's hyperrealistic, AI-generated Deepfakes. An expert in machine learning and recognition, Scheirer breaks down the technical advances that made new developments in digital deception possible, and shares behind-the-screens details of early Internet-era pranks that have become touchstones of hacker lore. His story introduces us to the visionaries and mischief-makers who first deployed digital fakery and continue to influence how digital manipulation works—and doesn't—today: computer hackers, digital artists, media forensics specialists, and AI researchers. Ultimately, Scheirer argues that problems associated with fake content are not intrinsic properties of the content itself, but rather stem from human behavior, demonstrating our capacity for both creativity and destruction. |
as an ai language model meme: Pharmako-AI K. Allado-McDowell, 2020 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. |
as an ai language model meme: The Book of F*cking Hilarious Internet Memes Richard Face, 2012-01-13 WHAT THE HECK IS AN INTERNET MEME? Meme (pronounced meem): An idea, belief or element of social behavior spread that is transmitted from one person or group of people to another. This word was coined in the '70s by Richard Dawkins, the atheist godman worshipped by neckbeards everywhere. Simply put, Internet memes are memes that spread on the Internet through social networking sites, blogs, email, news sources, and so on. In the real world they're called ideas, but pseudo-intellectuals prefer memes. WHERE DO INTERNET MEMES COME FROM? Amongst all the stupid crap on the Internet are hilarious gems of wit and wisdom. Most of the best memes start as images shared on the Web and, by some great misfortune, they find their way into the lecherous hands of drunken basement trolls who mutate these images into the hilarious, the lame, and sometimes the downright bizarre. WHAT IS THIS BOOK? This book will take you on bizarre journey through the bilges of the Internet and introduce you to 23 of its funniest and most popular memes, complete with a sh*tload of images that might just make you wet your panties. On this journey you will share lulz with unsavory characters like... Foul Bachelor Frog Socially Awkward Penguin Paranoid Parrot Courage Wolf Advice God Joseph Ducreux Hipster Kitty Inglip Successful Black Man Forever Alone Bill O'Reilly And more... Scroll up and click the Buy button now to laugh your a** off at the twisted hive mind of the Internet underworld... |
as an ai language model meme: The Serious Pleasures of Suspense Caroline Levine, 2003 Scholars have long recognized that narrative suspense dominates the formal dynamics of 19th-century British fiction. This study argues that various 19th-century thinkers - John Ruskin, Michael Faraday, Charlotte Bronte - saw suspense as a vehicle for a new approach to knowledge called realism. |
as an ai language model meme: Beyond the Meme Alan C. Love, William Wimsatt, 2019-09-03 Interdisciplinary perspectives on cultural evolution that reject meme theory in favor of a complex understanding of dynamic change over time How do cultures change? In recent decades, the concept of the meme, posited as a basic unit of culture analogous to the gene, has been central to debates about cultural transformation. Despite the appeal of meme theory, its simplification of complex interactions and other inadequacies as an explanatory framework raise more questions about cultural evolution than it answers. In Beyond the Meme, William C. Wimsatt and Alan C. Love assemble interdisciplinary perspectives on cultural evolution, providing a nuanced understanding of it as a process in which dynamic structures interact on different scales of size and time. By focusing on the full range of evolutionary processes across distinct contexts, from rice farming to scientific reasoning, this volume demonstrates how a thick understanding of change in culture emerges from multiple disciplinary vantage points, each of which is required to understand cultural evolution in all its complexity. The editors provide an extensive introductory essay to contextualize the volume, and Wimsatt contributes a separate chapter that systematically organizes the conceptual geography of cultural processes and phenomena. Any adequate account of the transmission, elaboration, and evolution of culture must, this volume argues, recognize the central roles that cognitive and social development play in cultural change and the complex interplay of technological, organizational, and institutional structures needed to enable and coordinate these processes. Contributors: Marshall Abrams, U of Alabama at Birmingham; Claes Andersson, Chalmers U of Technology; Mark A. Bedau, Reed College; James A. Evans, U of Chicago; Jacob G. Foster, U of California, Los Angeles; Michel Janssen, U of Minnesota; Sabina Leonelli, U of Exeter; Massimo Maiocchi, U of Chicago; Joseph D. Martin, U of Cambridge; Salikoko S. Mufwene, U of Chicago; Nancy J. Nersessian, Georgia Institute of Technology and Harvard U; Paul E. Smaldino, U of California, Merced; Anton Törnberg, U of Gothenburg; Petter Törnberg, U of Amsterdam; Gilbert B. Tostevin, U of Minnesota. |
as an ai language model meme: The Selfish Gene Richard Dawkins, 1989 Science need not be dull and bogged down by jargon, as Richard Dawkins proves in this entertaining look at evolution. The themes he takes up are the concepts of altruistic and selfish behaviour; the genetical definition of selfish interest; the evolution of aggressive behaviour; kinshiptheory; sex ratio theory; reciprocal altruism; deceit; and the natural selection of sex differences. 'Should be read, can be read by almost anyone. It describes with great skill a new face of the theory of evolution.' W.D. Hamilton, Science |
as an ai language model meme: Representation Learning for Natural Language Processing Zhiyuan Liu, Yankai Lin, Maosong Sun, 2020-07-03 This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. |
as an ai language model meme: Meet Us by the Roaring Sea Akil Kumarasamy, 2022-08-23 New York Times Editors' Choice 2022 An NPR Books We Love 2022 Shortlisted for the Ursula K. Le Guin Prize for Fiction Longlisted for the Mark Twain American Voice in Literature Award Finalist for the Lambda Award in Bisexual Fiction A spellbinding book. —Megha Majumdar Akil Kumarasamy is a singular talent. —Cathy Park Hong In the near future, a young woman finds her mother’s body starfished on the kitchen floor in Queens and sets on a journey through language, archives, artificial intelligence, and TV for a way back into herself. She begins to translate an old manuscript about a group of female medical students—living through a drought and at the edge of the war—as they create a new way of existence to help the people around them. In the process, the translator’s life and the manuscript begin to become entangled. Along the way, the arrival of a childhood friend, a stranger, and an unusual AI project will force her to question her own moral compass and sense of goodness. How involved are we in the suffering of others? What does real compassion look like? How do you make a better world? |
as an ai language model meme: The Meme Machine Susan Blackmore, 2000-03-16 Humans are extraordinary creatures, with the unique ability among animals to imitate and so copy from one another ideas, habits, skills, behaviours, inventions, songs, and stories. These are all memes, a term first coined by Richard Dawkins in 1976 in his book The Selfish Gene. Memes, like genes, are replicators, and this enthralling book is an investigation of whether this link between genes and memes can lead to important discoveries about the nature of the inner self. Confronting the deepest questions about our inner selves, with all our emotions, memories, beliefs, and decisions, Susan Blackmore makes a compelling case for the theory that the inner self is merely an illusion created by the memes for the sake of replication. |
as an ai language model meme: Brave New Words Salman Khan, 2024-05-14 “A timely masterclass for anyone interested in the future of learning in the AI era.” —Bill Gates “This book is required reading for everyone who cares about education.” —Adam Grant, #1 New York Times bestselling author of Hidden Potential and Think Again, and host of the podcast Re:Thinking “Read this book. It’s the most fascinating and important account of how AI will transform the way we learn.” —Walter Isaacson, #1 New York Times bestselling author From the founder of Khan Academy, the first book on the AI revolution in education, its implications for parenting, and how we can best harness its power for good. Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, and offers a road map for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. A pioneer in the field of education technology, Khan examines the ins and outs of these cutting-edge tools and how they will revolutionize the way we learn and teach. For parents concerned about their children’s success, Khan illustrates how AI can personalize learning by adapting to each student’s individual pace and style, identifying strengths and areas for improvement, and offering tailored support and feedback to complement traditional classroom instruction. Khan emphasizes that embracing AI in education is not about replacing human interaction but enhancing it with customized and accessible learning tools that encourage creative problem-solving skills and prepare students for an increasingly digital world. But Brave New Words is not just about technology—it’s about what this technology means for our society, and the practical implications for administrators, guidance counselors, and hiring managers who can harness the power of AI in education and the workplace. Khan also delves into the ethical and social implications of AI and large language models, offering thoughtful insights into how we can use these tools to build a more accessible education system for students around the world. |
as an ai language model meme: Experimental IR Meets Multilinguality, Multimodality, and Interaction Cross-Language Evaluation Forum. Conference, 2024 The two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9–12, 2024. The proceedings contain 11 conference papers; 6 best of CLEF 2023 Labs' papers, and 14 Lab overview papers accepted from 45 submissions. In addition an overview paper on the CLEF activities in the last 25 years is included. The CLEF conference and labs of the evaluation forum deal with topics in information access from different perspectives, in any modality and language, focusing on experimental information retrieval (IR). . |
as an ai language model meme: Syntactic Structures Noam Chomsky, 2020-05-18 No detailed description available for Syntactic Structures. |
Massachusetts Institute of Technology - MIT News
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Massachusetts Institute of Technology - MIT News
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Jan 17, 2025 · Plus, generative AI models have an especially short shelf-life, driven by rising demand for new AI applications. Companies release new models every few weeks, so the energy …
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Jul 8, 2024 · Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. …
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Nov 12, 2024 · The AI model found unexpected similarities between biological materials and “Symphony No. 9,” suggesting that both follow patterns of complexity. “Similar to how cells in …
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Feb 3, 2025 · The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source …
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Apr 23, 2025 · The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones. For instance, the …
Explained: Generative AI | MIT News | Massachusetts Institute of …
Nov 9, 2023 · Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction …
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Dec 6, 2024 · By contrast, in one paper, “The Simple Macroeconomics of AI,” published in the August issue of Economic Policy, Acemoglu estimates that over the next decade, AI will produce …
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