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noobie!

'nak ng...sa tagal ko ng naka-online sa internet, ba't ngayon ko pa naisipang gumawa nito? di ko naman kailangan.

isa lang po ang sagot jan...

WALA ako magawa. "as in". sinubukan kong kumain, matulog, manood ng t.v., mag-istrol sa hanep kong box-type pero ganun pa rin.

WALA ako magawa. "as in". pero ngayon susubukan kong gumawa ng blog at tignan ko kung tatagal. try kong ilista nangyayari sakin, sa asawa't anak ko. sama ko na rin mga kaibigan, kamag-anak, at ibang kakilala. dadagdagan ko pa ng mga ginagawa, pinupuntahan, kinakain at iniinom namin. sa madaling sabi "everything under the sun" basta tungkol sa'kin.

Popular

that 80's show: turbo teen

i clearly remember that it was gma7, here in the philippines, that aired turbo teen every afternoon back then. although, i just saw it once and never even knew the title. i searched for it in google with "man turns into car" keywords and followed the search to turbo teen. here's the intro

Exploring the Riemann Hypothesis Through the Lens of Contextual Stratification

The Riemann Hypothesis stands as one of mathematics’ most profound unsolved problems. It concerns the distribution of prime numbers and the zeros of the Riemann zeta function, offering a tantalizing promise: if proven, it could unlock deep secrets about the fabric of numbers and even influence fields like cryptography and quantum physics. But what if we step back and ask not just how to solve the Riemann Hypothesis, but where it fits in the grand scheme of knowledge? This is where the Contextual Stratification Knowledge Framework (CSKF) —with its equation Q=Fλ, Q⊆M —comes into play. CSKF provides a meta-framework for understanding how knowledge, theories, and frameworks relate to reality across all domains, from physics to art to mathematics. Could the Riemann Hypothesis be interpreted through the lens of CSKF? The answer is a resounding yes . While CSKF doesn’t offer a direct path to proving or disproving the hypothesis, it provides a powerful way to contextualize its significance ...

Speech: The Future of Public Transport—Why Autonomous Vehicles Need ATS

[Opening] Ladies and gentlemen, esteemed guests, and forward-thinking innovators, Today, we stand at the intersection of technology and transportation, where the decisions we make will shape the way cities move for generations. The rise of autonomous vehicles is no longer science fiction—it is an inevitability. But these vehicles cannot operate in isolation. They need an intelligent system—an Agile Transportation System (ATS)—to function efficiently, safely, and dynamically. This is not just about replacing drivers with AI. This is about creating a transportation network that is smarter, more responsive, and deeply integrated into the fabric of our cities. --- [The Problem: Why Current Transportation Models Will Fail] Let’s step back for a moment. Today’s public transport operates on fixed routes and rigid schedules, often leading to overcrowded peak hours and empty vehicles off-peak. It’s a system built on predictability, not adaptability. And while autonomous vehicles pro...