Skip to main content

returning to the scene of the crime

it's been a while since i created a web page. and now im like a returning prodigal son aiming to get back what i lost. getting thru the same process i walked thru back then - studying. i visited few sites ive created and found them to be boring so i wont put their links here. hahaha! then i stumble upon my site(i want to call it that) - http://www.geocities.com/orpheum_ph/ and remembered that i have created something for myself... a tool for web design. something to start with... and i would like to tap my back for that. and so, i decided to get back into blogging and pst this.

hopefully, i would complete my tool and maybe start on a portfolio. wish me luck!

Popular

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...

Prompt Analysis Using First-Principles Thinking (FPT)

Instead of memorizing existing prompt patterns, let’s break down Prompt Analysis from First-Principles Thinking (FPT) —understanding what makes a prompt effective at its core and how to optimize it for better AI responses. Step 1: What is a Prompt? At its most fundamental level, a prompt is just: An input instruction → What you ask the AI to do. Context or constraints → Additional details that guide the response. Expected output format → Defining how the AI should structure its answer. A well-designed prompt maximizes relevance, clarity, and accuracy while minimizing misunderstandings. Step 2: Why Do Prompts Fail? Prompts fail when: ❌ Ambiguity exists → The model doesn’t know what’s truly being asked. ❌ Lack of context → Missing background information leads to weak responses. ❌ Overloaded instructions → Too many requirements confuse the AI. ❌ Vague output expectations → No clear structure is provided. ❌ Incorrect assumptions about AI behavior → The prompt d...

Contextual Stratification, Basilides, and the Shape of an Accurate Religion

Contextual Stratification quietly intersects with an unlikely figure: Basilides, the 2nd-century Gnostic often dismissed as obscure or overly metaphysical. Strip away the mythic language, and what remains is a sharp structural insight: reality is layered, and most human error comes from collapsing those layers into one. Basilides’ most radical idea was the Unknowable God—not a supreme ruler issuing commands, but a source beyond being, intention, or description. This god does nothing, says nothing, demands nothing. That sounds paradoxical until viewed through Contextual Stratification. Structurally, the Unknowable God maps cleanly onto the apex stratum: the highest layer that is necessary for grounding reality yet irrelevant for operation within it. Irrelevant here does not mean useless. It means non-operational. The apex stratum cannot be invoked to explain events, justify rules, or resolve disputes. It exists to mark a boundary—the point beyond which explanation, morality, and causati...