In this book, subtitled "Why Superhuman AI Would Kill Us All", Eliezer Yudkowsky and Nate Soares argue that sufficiently smart AIs will develop goals of their own that put them in conflict with us—and that if it comes to conflict, an artificial superintelligence would crush us. The contest wouldn't even be close. Yudkowsky and Soares walk through the theory and the evidence, present one possible extinction scenario, and explain what it would take for humanity to survive.

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This guide equips the reader with the skills to design and build robust, distributed systems using modern C++. Starting with fundamental architectural principles and design philosophies, Andrey Gavrilin, Adrian Ostrowski and Piotr Gaczkowski walk readers through practical approaches to designing and deploying reliable systems. This edition contains significant updates across the book, including new chapters on observability, package management, and C++ modules to address real-world software challenges.

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In this book Craig Walls sets out the case that when it comes to AI applications, no Python, no problem! The Spring AI framework makes it possible to add LLM-based features to any Spring application using Java or other JVM languages like Kotlin. From setting up Retrieval Augmented Generation (RAG) to creating AI agents, Craig Walls shows the reader how to build AI applications natively using Spring AI and Spring Boot. Starting with a simple “Hello AI World” example and quickly advancing to more sophisticated techniques, including RAG, AI agents, tool use, speech, and AI observability.

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In this book, with the full subtitle "Cybersecurity Threat Mitigation Lessons from A Real-World LockBit Ransomware Response",  Zachary Lewis delivers a gripping, first-person account of how a major university squared off against one of the world's most infamous ransomware groups: LockBit. He walks you through his personal experience battling – and negotiating with – LockBit, as well as the strategies, tools, and approaches he used in resolving the crisis.

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Subtitled "Master data science competitions with machine learning, GenAI, and LLMs", this book brings together tips and techniques for excelling in Kaggle competitions and data science projects. Three Kaggle Grandmasters, Luca Massaron, Bojan Tunguz and Konrad Banachewicz,  guide the reader through modeling strategies and share hard-earned insights accumulated over years of competition. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions.

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This book shows how to use advanced functional programming principles, practical domain-driven design techniques, and production-ready Elixir code to build scalable, complex systems from simple, reusable components. Joseph Koski explains how to combine advanced functional programming concepts with production-ready Elixir and proven domain-driven design techniques to write cleaner, more thoughtful software. 

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In this book Alan Simpson shows with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. Readers will improve their skills, expand their productivity, and speed up the process of generating data-driven insights. They'll also learn to enhance their Python automations with AI, for workflows that are faster and smarter.

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This book explores ways to use Postgres for areas such as geospatial systems, time series, full-text search, JSON documents, AI vector embeddings, and other specialty database functions. Denis Magda covers recipes for using Postgres in applications normally reserved for single-purpose databases. Along the way, Magda also introduces the ecosystem of Postgres extensions like pgvector, PostGIS, pgmq, and TimescaleDB.

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This book is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Tilman M. Davies starts with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing tests and modeling. Later chapters show how to create impressive data visualizations with R’s graphics tools and contributed packages, like ggplot2, ggvis, and rgl.

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In this informative, exciting, and whimsical oversized full-color hardcover volume chronicling thirty years of the fantasy strategy franchise, Heroes of Might and Magic, Neal Hallford takes fans of fantasy, turn-based strategy, and nostalgic gaming on an expansive expedition down the heroes’ path and beyond. Readers can learn the secrets behind the development of each main game in the strategy series through never-before seen art, documentation, and interviews with key members of the creative teams.

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In this book Jeremy Morgan looks at how developers can hand off tedious software development tasks to an assistant using AI-powered coding tools like Copilot to accelerate research, design, code creation, testing, troubleshooting, documentation, and refactoring. Written for working developers, this book fast-tracks the reader to AI-powered productivity with bite-size projects, tested prompts, and techniques for getting the most out of AI. It takes you through several small Python projects with the help of AI tools, showing you exactly how to use AI to create and refine real software.

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This book collects popular essays from the "renowned Cranberry-Lemon University Press’s most illustrious scholars".  The publisher says diverse authors present their ideas to the world outside of a Substack account with 1-23 followers and a TikTok video. Author, B McGraw, says this book is for anyone who needs to know how a Markov Process proves that it’s not worth investigating the Fermi Paradox because there probably aren’t any aliens and anyway even if there were they wouldn’t lie to you about this. More importantly, cats will learn vital new ways to get their humans to provide wet food.

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