Skip to main content

alternatibong pagkukuhanan ng enerhiya

sa taas ng bilihin mapapamura ka habang sinasabi sayo ang presyo ng bibilhin mo...pero hindi ko kayo hinihikayat na magmura...at kung pwede ay pigilan ninyo ang sarili nyo. may napapabalitang naghahanap na raw ng ibang pagkukunan ng langis sa may bandang palawan pero marami ang napapa-iling dito...syempre naman, palawan yun. kumikita ng dolyares galing sa mga dayuhan tapos sisirain mo lang para makakuha ka ng langis. sama naman nu'n. dami naman pwedeng pagkuhanan ng enerhiya, bakit kailangan langis pa?

napanood ko kanina 'to: Wind, The World's Fastest Growing Energy Source



kung ganito bat hindi natin masubukan para maiba-iba naman...nag mumukha na tayong langis. konting hangin naman. pwede rin namang solar cells. ba't nga ba hindi pinapapasok sa pilipinas 'to. ang balita ko e, pwede daw ipasok kaso tinataasan ang tax para magdalawand isip ang mag i-import. kasabwat ata nila yung big three (shell, caltex, petron) syempre marami silang makukuha dun kaysa magpapasok ng solar cells dito. pero pwede rin namang mali ang balita ko. ano ba alam ko e, tindero lang ako.

Popular

AI, Languages and Neuro-Kernels

“A radical rethinking of OS architecture for the age of AI: from legacy kernels to self-optimizing neuro-kernels powered by contextual intelligence.” I believe that the future will ditch Linux and Windows because AI will create it's own kernel that's ready to be fused with AI model to become neuro-kernel. Why? Because they were not created for AI. They were created several decades ago when LLM wasn’t even a phrase. They were born out of necessity, not intention — a way to make silicon respond to keyboards, screens, and human commands. Over time, they adapted: adding graphical user interfaces like Window User Interface and desktop environments of Linux, supporting mobile devices such as Android and iOS, and surviving by bolting on complexity, you get the gist. But at their core, they are still human-first operating systems, not built for real-time machine reasoning, context shifts, or model-to-model communication. Now Let's Talk Inefficiencies The inefficiencies are baked in...
Read more

dedon island resort, philippines amongst the dream hotel to visit before you die

from matadornetwork.com (which is also credited for the picture below), found, i, the 48 epic dream hotel to visit before you die  which, i would say, is worth reading (and watching the pictures). what hit me though is the dedon island resort: a resort in my own country which i didn't even know existed. so, without further ado - DEDON ISLAND RESORT
Read more

Retrieval-Augmented Generation (RAG) Using First-Principles Thinking

Instead of just learning how Retrieval-Augmented Generation (RAG) works, let's break it down using First-Principles Thinking (FPT) —understanding the fundamental problem it solves and how we can optimize it. Step 1: What Problem Does RAG Solve? Traditional AI Limitations (Before RAG) Large Language Models (LLMs) like GPT struggle with: ❌ Knowledge Cutoff → They can’t access new information after training. ❌ Fact Inaccuracy (Hallucination) → They generate plausible but false responses. ❌ Context Limits → They can only process a limited amount of information at a time. The RAG Solution Retrieval-Augmented Generation (RAG) improves LLMs by: ✅ Retrieving relevant information from external sources (e.g., databases, search engines). ✅ Feeding this retrieved data into the LLM before generating an answer. ✅ Reducing hallucinations and improving response accuracy. Core Idea: Instead of making the model remember everything, let it look up relevant knowledge when needed....
Read more