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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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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...

Contextual Stratification - Chapter 25: AI and Technology

  Machines at Boundaries In 2016, AlphaGo defeated the world champion at Go, a game so complex that brute-force computation seemed impossible. The victory felt momentous: machines mastering domains requiring intuition, pattern recognition, strategic depth. Then researchers tried applying the same system to StarCraft, a real-time strategy game. It struggled. Same underlying architecture, different domain; and the framework that dominated Go couldn't transfer. This isn't a flaw in AlphaGo. It's a demonstration of contextual stratification in artificial systems. The AI learned F_Go at λ_board-game with M_Go (measurable game states, valid moves, winning positions). That framework produced brilliant Q_Go (optimal strategies, creative plays). But F_Go doesn't apply to F_StarCraft at λ_real-time with different M_StarCraft. The boundary between frameworks isn't crossable by mere scaling. It requires different architecture, different learning, different framework. AI system...

Contextual Stratification - Chapter 26: Human Flourishing

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