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Continue reading →: Adversarial Attacks in AI
When Someone Is Deliberately Trying to Fool the Machine One of the most fascinating discoveries in modern Artificial Intelligence is that highly accurate AI systems can sometimes be fooled by changes that are almost invisible to humans. These are not ordinary mistakes caused by blurry images or poor lighting. They…
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Continue reading →: Where Is Information Stored in an LLM?
A Journey from “Where is Paris?” to How Large Language Models Actually Remember One of the most fascinating questions about Large Language Models (LLMs) is deceptively simple: Where is the information stored? Not intelligence. Not reasoning. Just information. For example, consider the word “Paris.” Surely the model has to store…
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Continue reading →: Agentic AI – Modern Implementation of a Classic AI Concept
If you’ve recently started exploring Agentic AI, you might think that the idea of an “AI agent” emerged alongside Large Language Models (LLMs) like ChatGPT. In reality, the concept of an agent has been a cornerstone of Artificial Intelligence for decades. One of the clearest examples comes from Russell and…
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Continue reading →: Data Storage (OLTP)[The Architecture Program: Component 3]
The Architecture Program: Core Transactional Substrate Every enterprise eventually confronts a quieter, heavier question—not who is trusted, but what is remembered. Data Storage is often spoken of in operational fragments: tables, rows, indexes, transactions. But beneath these mechanics lies something far more foundational. OLTP storage is not merely persistence. It…
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Continue reading →: Identity & Access Management System [The Architecture Program: Component 2]
Every enterprise eventually confronts the same quiet question – who is trusted, and why. Identity & Access Management is often spoken about in technical fragments: authentication here, roles there, tokens somewhere in between. But beneath these mechanisms lies something far more consequential. IAM is not a feature. It is not…
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Continue reading →: Event Management System [The Architecture Program: Component 1]
Modern enterprises do not fail because they lack technology. They fail because their systems cannot change safely. At the center of this challenge lies a quiet but powerful architectural primitive: the Event Management System. Often treated as infrastructure, tooling, or middleware, it is in fact something far more consequential. It…
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Continue reading →: AI as a Knowledge Amplifier, Not Magic
There is a quiet but important misunderstanding surrounding artificial intelligence today. AI is often spoken about as if it were a kind of digital sorcery—feed it data, and insight appears; deploy a model, and intelligence emerges. This framing is not just inaccurate, it is dangerous. It obscures the real source…
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Continue reading →: What It Means to Understand a System
Understanding is often assumed to be a matter of accumulation: more information, more diagrams, more experience. In practice, it is something else entirely. Systems rarely disclose their nature directly. They reveal themselves indirectly—through limits, failures, and the consequences of earlier decisions. What follows is an attempt to clarify this difference.…
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Continue reading →: The Importance of Reading Books in the Digital Age
In today’s fast-paced, tech-driven world, we humans are gradually moving away from books. The rise of platforms like YouTube has shifted our tendencies when it comes to learning and acquiring knowledge. Nowadays, instead of googling something to learn about it, we “YouTube” it. Watching videos has become the go-to method…
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