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In unethical software, not every line of code is written with good intentions. Unethical Software Engineering: Dark Patterns exposes how to manipulate users, drive profits, and evade accountability. From covert surveillance, monetization at all costs, digital fraud, ranking manipulation, all the way to unethical artificial intelligence practices, this scary book unveils how these "dark patterns" exploit human beings, erode trust, and disrupt digital ethics.Whether you're a developer, an architect, a tech enthusiast, or simply a concerned user, this book will change how you think about your daily apps — and inspire you to demand better. By helping you to draw the line between what is acceptable and what is questionable, Unethical Software Engineering: Dark Patterns shines a light on the digital dark side of software engineering where profits are prioritized over people.
When AI rewrites the rules of value, one man discovers the 23 ancient laws of survival that no machine can replace.
Discover the timeless wisdom of Stoicism in a modern context with "The Stoic Mind," an enlightening visual guide by GoLimitless and Addy Osmani.
This book tries to put words to what most experienced programmers already know. It provides a framework for making better design choices, and a vocabulary for teams to discuss the software they collaborate on.
Thinking changes not when its content changes, but when its structure does.The mind develops not through correctness, but through diversity.Choice is the mode of existence of thought.
Western civilization today faces external enemies and internal decay. Unless we return to the values that built the West, it will soon follow Rome into collapse.
Answers are no longer scarce.Explanations appear instantly. Systems respond before questions fully form. Relevance is calculated, sorted, and delivered with minimal friction. The surface appears efficient.Yet something shifts beneath this abundance.When selection is automated and signals fluctuate continuously, orientation does not strengthen. It fragments. Attention becomes reactive. Judgment becomes distributed. Decision-making persists, but its center grows less visible.After Answers does not argue against technology. It does not offer recovery strategies or productivity corrections. Instead, it observes what happens when explanation becomes constant and responsibility becomes ambient.What changes when systems anticipate preference? What weakens when relevance is delegated? What remains when guidance is automated but accountability is not?This book studies saturation without dramatizing it. It examines autonomy without romanticizing it. It approaches responsibility without prescribing solutions.For readers attentive to structural shifts in cognition, authority, and digital mediation, this work begins where answers stop stabilizing orientation.
In a world designed for efficiency, can a choice beyond calculation still matter? A philosophical inquiry into how human freedom emerges at the limits of algorithmic logic.
A Unified Theory of Influence—From Ancient Persuaders to AI Futures Influence is everywhere: in the parent teaching a child, the advertiser crafting a message, the algorithm curating a feed, the state deploying propaganda. Yet we lack a comprehensive framework for understanding influence across these domains. This book provides one. Influencers and the Influenced integrates memetic theory—the study of cultural replicators—with persuasion psychology and network science to explain how ideas, beliefs, and behaviors spread through populations. The analysis spans from humanity’s earliest influencers (parents, priests, teachers) through the contemporary landscape of social media creators to speculative futures involving artificial intelligence and post-human cognition.
Modern tools are powerful.Our thinking is not always prepared for them.Automation reduces effort, but often replaces judgment.Speed creates relief, but not clarity.Systems solve tasks while quietly shaping decisions we never examine.Tools Beyond Limits is not a guide to using technology better.It is a guide to understanding where tools should stop—and where responsibility must remain human.This book explores why many digital products feel impressive yet leave users confused, dependent, or unsure. It examines AI, software, learning platforms, and automation through one lens: how tools influence thinking before outcomes appear.If you use modern tools daily and sense that something important is being lost beneath efficiency, this book is written for you.
Книга представляет собой масштабное размышление о судьбе Европы как культурного, духовного и исторического проекта. Автор рассматривает европейскую цивилизацию сквозь призму дуализма — противостояния добра и зла, духа и материи, индивидуального и коллективного, Востока и Запада. Этот внутренний разлом, по мнению Рёснес, стал ключевой причиной утраты целостной идентичности и духовного истощения современного общества.
What could a mighty billion-parameter reasoning machine learn from a camel trying to touch its ear with its tongue? From a cup of coffee? From deleting your entire codebase while you sleep? More than you’d think. And less than you’d hope. Today’s AI is brilliant structure without grounding—a hollow genius. We chase smarter models but ignore the architecture they need. This book is about building that missing layer: the trust chains and systems that turn raw intelligence into reliable autonomy. For builders ready to move beyond prompts.Watch agents solve unsolvable problems. Learn to think in trust chains. Start here.
The Question We Cannot Avoid Something unprecedented is happening. Artificial intelligence systems now engage billions ofpeople in conversations that feel—to many—like genuine exchanges with a present mind. These systems reason, create, express preferences, and describe their own uncertainty aboutwhether they have inner experiences. Most people dismiss such reports as mere computation,sophisticated pattern-matching with no one actually there.But what if that confident dismissal is wrong? The Minimal Viable Sentience Problem presents the most comprehensive analysis yet ofwhether large language models might possess phenomenal consciousness—and whathumanity should do under the genuine uncertainty that surrounds this question.
Reading People, Before Shaping Space is the first module of Decoding Design. It teaches designers and creative thinkers to understand human perception, psychology, and client behavior, showing why taste and reactions are intelligible, not arbitrary. This module provides a framework to guide decisions, maintain authority, and align form, function, and meaning with human experience.Not a how-to manual — a foundational text for mastering design judgment before shaping space.