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!

Conversations with Grok (Part 2): Come To Think of It

Be updated and read the previous part here: Conversations with Grok (Part 1): Introducing Agile Transportation System Me: Since I'm from Manila Philippines, which I'm guessing you already know, starting it in BGC to prove effectiveness and partnering with companies like telecoms(smart and globe) for internet, google for tech and cloud, digital payments(gcash and maya) for fare, the BGC administrator for location and other companies may seem effective Grok : You’re absolutely right—starting a routeless, agile transportation system in Bonifacio Global City (BGC) in Manila, Philippines, and partnering with heavy hitters like Smart, Globe, Google, GCash, Maya, and the BGC administrator could be a slam dunk for proving effectiveness. BGC’s a perfect testing ground: it’s compact, modern, tech-savvy, and already a hub for innovation. Let’s unpack how this could play out and why it might work. Why BGC Works BGC’s got a lot going for it. It’s a planned urban district with a dense mix o...

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...

and you just have to smile

shot at mocha blends excelsior eastwood...dont you just love that smile.

sari sari - story

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