BA, UI, UX, ML & AI

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ALISTAIR ALEXANDER’S REVENGE ON AI: COUNTER-ARCHITECTURE OF SLOWNESS

Introduction: Revenge Without the Sword Alistair Alexander’s revenge on AI is not the revenge of a technophobe smashing machines, nor the melodramatic revenge of a defeated human striking back against an artificial intelligence that has stolen language, work, art, attention, and authority. It is a quieter, stranger, and more contemporary kind of revenge: the refusal to accept the story that AI is...

CORRUPTION ANAGRAM, NATION HYPOCRISY AND NEWS SPECULARITY

Introduction: When Public Morality Becomes a Performance Corruption is usually described as the abuse of entrusted power for private gain, but this definition, while technically correct, is too narrow to capture the full anatomy of corruption inside modern public life, because corruption is not only a transaction hidden in an envelope, a contract awarded to a friend, a public office converted...

AN APP ASSISTANT: OBSIDIAN COPILOT EVALUATOR

Introduction: The Assistant Inside the Personal Knowledge System An app assistant is not merely a chatbot placed inside a software interface; it is a decision layer, a retrieval companion, a writing partner, a reasoning surface, and sometimes an agentic operator that changes how the user navigates information, creates knowledge, and moves from intention to action. In the context of Obsidian, this...

EXPLORING PAPERS FOR FUTURE EXPERMINETATION

Introduction: Research as the Beginning of Experimental Imagination Exploring papers for future experimentation is not a passive academic exercise in which one collects citations, highlights interesting paragraphs, and stores PDFs in folders that gradually become intellectual archives without consequence. It is a strategic process of discovering where knowledge is incomplete, where methods can be...

CLASSIFICATION TRASNFERS IN THE AGE OF PERSONALIZATION

Introduction: When Categories Stop Being Neutral The age of personalization is often presented as a triumph of relevance, because digital systems now promise to understand the individual more precisely, recommend what each person wants more accurately, and organize experience around preferences that appear intimate, dynamic, and uniquely tailored. Search results, news feeds, shopping platforms...

SOCIAL EXPANSION, CULTURE & ETHICAL REGRESSION

Introduction: The Paradox of an Expanding Society Modern society has expanded at a speed and scale that earlier generations could scarcely have imagined, because people now participate in networks, markets, institutions, identities, conversations, and cultural systems that reach far beyond the limits of locality, family, nation, language, and traditional community. The individual is no longer...

EUGENE YAN’S EVALUATION OF AI FAILURES

Introduction: Evaluation as the Real Foundation of AI Product Development AI features are often introduced with the language of possibility, speed, intelligence, automation, and delight, but the practical question that determines whether they deserve to exist in a product is much less glamorous: can the team reliably tell whether the feature is working, whether it is failing, and whether the...

ANATOMY OF CONSUMPTION BEHAVIOR

Introduction: Consumption as a Map of Human Desire Consumption behavior is often described as a practical matter of buying, using, and replacing goods, yet this description is too narrow to explain why people choose one product over another, why they remain loyal to certain brands even when alternatives are cheaper, why they purchase things they do not strictly need, or why a small change in...

HIGH-BALANCE SUGGESTION PART #7

High-Balance Suggestion — Part #7 When Balance Becomes Identity In Part #6, we explored the moment when a balancing AI system stops feeling like an external guide and begins existing inside the user’s own cognitive rhythm, not because it has taken control in any obvious, aggressive, or forceful way, but because repeated guidance, correction, friction, pacing, emotional modulation, and perspective...

AI RECOMMENDATION, USER-CONTROLLED PERSONALIZATION, AND COMPULSION

Artificial intelligence recommendation systems have become one of the most powerful invisible structures in modern digital life, because they no longer merely help users discover content, products, music, videos, articles, services, or social connections, but increasingly shape the rhythm of attention itself by deciding what appears, when it appears, how strongly it is prioritized, what emotional...

10% Personal, 20% Random, 70% AI
BA, UI, UX, ML & AI