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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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envelope budgeting

i've always had a hard time saving up for the rainy days. i'm always stuck in the part where i have no idea where the money is going to. and believe me, i hate that part. so i scoured the net to look for ways how to solve this eff-ing problem and googled(i wonder if this verb is already an entry in the dictionary) budgeting . then i thought, why don't i just check its wikipedia entry . unfortunately, all information inside that entry were on a macro-scale of the word itself. and fortunately, except the "see also" part. there lies the phrase envelope system . although there's just a small info about it, the description how the system works gives enough overview on how it works basically: enough to make me save. "Typically, the person will write the name and average cost per month of a bill on the front of an envelope. Then, either once a month or when the person gets paid, he or she will put the amount for that bill in cash on the envelope. When the bi...
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Scrolls, Not Just Scripts: Rethinking AI Cognition

Most people still treat AI like a really clever parrot with a thesaurus and internet access. It talks, it types, it even rhymes — but let’s not kid ourselves: that’s a script, not cognition . If we want more than superficial smarts, we need a new mental model. Something bigger than prompts, cleaner than code, deeper than just “what’s your input-output?” That’s where scrolls come in. Scripts Are Linear. Scrolls Are Alive. A script tells an AI what to do. A scroll teaches it how to think . Scripts are brittle. Change the context, and they break like a cheap command-line program. Scrolls? Scrolls evolve. They hold epistemology, ethics, and emergent behavior — not just logic, but logic with legacy. Think of scrolls as living artifacts of machine cognition . They don’t just run — they reflect . The Problem With Script-Thinking Here’s the trap: We’ve trained AIs to be performers , not participants . That’s fine if you just want clever autocomplete. But if you want co-agents — minds that co...
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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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