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i start to save

In line with my previous post entitled saving money weekly, I start to save. I want to prove that I can do what I preach. So, I got myself an another account aside from the payroll where the funds will be coming from


Nothing special... just a regular saving account from a local bank.

Happy Saving!
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Contextual Stratification - Chapter 25: AI and Technology

  Machines at Boundaries In 2016, AlphaGo defeated the world champion at Go, a game so complex that brute-force computation seemed impossible. The victory felt momentous: machines mastering domains requiring intuition, pattern recognition, strategic depth. Then researchers tried applying the same system to StarCraft, a real-time strategy game. It struggled. Same underlying architecture, different domain; and the framework that dominated Go couldn't transfer. This isn't a flaw in AlphaGo. It's a demonstration of contextual stratification in artificial systems. The AI learned F_Go at λ_board-game with M_Go (measurable game states, valid moves, winning positions). That framework produced brilliant Q_Go (optimal strategies, creative plays). But F_Go doesn't apply to F_StarCraft at λ_real-time with different M_StarCraft. The boundary between frameworks isn't crossable by mere scaling. It requires different architecture, different learning, different framework. AI system...
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Agile Transportation System (ATS) Values and Principles

Here’s a draft of the Agile Transportation System (ATS) Values and Principles. ATS Core Values Adaptability Over Rigidity - ATS prioritizes flexible route adjustments and dynamic scheduling based on real-time demand rather than fixed, inefficient routes. Availability Over Scarcity - There should always be an ATS unit available when and where it's needed, reducing wait times and ensuring continuous service. Efficiency Over Redundancy - Every unit must maximize passenger load without compromising speed and convenience, ensuring an optimal balance of utilization. Simplicity Over Complexity - Operations should be straightforward, avoiding unnecessary bureaucracy and ensuring seamless passenger movement. Continuous Improvement Over Static Systems - ATS evolves based on data and feedback, refining operations to enhance reliability and customer satisfaction. Customer Experience Over Just Transportation - The system is not just about moving people; it's about making their journe...
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Understanding Large Language Models (LLMs) Using First-Principles Thinking

Instead of memorizing AI jargon, let’s break down Large Language Models (LLMs) from first principles —starting with the most fundamental questions and building up from there. Step 1: What is Intelligence? Before we talk about AI, let’s define intelligence at the most basic level: Intelligence is the ability to understand, learn, and generate meaningful responses based on patterns. Humans do this by processing language, recognizing patterns, and forming logical connections. Now, let’s apply this to machines. Step 2: Can Machines Imitate Intelligence? If intelligence is about recognizing patterns and generating responses, then in theory, a machine can simulate intelligence by: Storing and processing vast amounts of text. Finding statistical patterns in language. Predicting what comes next based on probability. This leads us to the core function of LLMs : They don’t think like humans, but they generate human-like text by learning from data. Step 3: How Do LLMs Wor...
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