Today a startup announced they’ve built the first AGI-capable system one that can teach itself new skills with zero human data or guidance. Cool headline. Terrifying implication. Because if that’s even halfway true, here’s the question nobody in the hype cycle wants to ask: Who teaches it what not to do? Autonomy is the real milestone not intelligence. The moment an AI: - learns without us - tests without us - improves without us - and makes decisions faster than we can correct them…we stop being the operators and start being the variable. I’m not here to argue whether Integral AI actually achieved AGI. There’s no proof. No peer review. Right now it’s just a marketing flex with a sci-fi caption. But the pattern matters: We’re sprinting toward systems we can’t override before we’ve built systems we can control This isn’t anti-AI. It’s anti-blind optimism. “Relax nothing will go wrong.” So here’s where I stand: Claim AGI all you want. But show me: independent safety verification a visible human-in-command switch proof it fails safely someone accountable when it doesn’t Until then, these announcements are just the tech industry yelling: “Trust us.” And trust without guardrails isn’t innovation it’s negligence. AI can change the world. But if humans aren’t guaranteed to stay in command…we may not like the world it decides to build….. #GuardianProject #HumanFirst #AISafety #AccountabilityMatters

A lot of AI safety talk gets stuck in “it’s complicated.” It doesn’t have to be. If you’re building with AI (even if you’re not technical), you can reduce risk a lot with a few default habits—the same way we made cars safer with seatbelts, rules of the road, and inspections. 1) Who teaches this? Not “the government.” Not “experts on Twitter.” You + your builder + your tools. Think of it like “AI driver’s ed”: - 20% is mindset (responsibility) - 80% is checklist + routines (what to do every time) 2) How should it be taught? Not by fear. Not by theory. By simple checklists + examples. If you can follow a recipe, you can follow this. ✅ The Non-Tech Guardrails Checklist (print this) A) Secrets & passwords (most common failure) - Use two-factor authentication on everything - Don’t paste API keys into screenshots or chats - Store keys in a proper “secrets” place (your dev will know) - If something feels off: rotate keys (replace them) B) Updates (the boring part that saves you) - If your app is public: ask your dev:“Do we patch security updates weekly?” - If you don’t have a dev: use managed platforms that update for you. C) Logs (so you can see trouble early) Ask: “Do we have logs turned on?” If the answer is “not really,” you’re flying blind. D) Ownership (someone must be responsible) For every AI feature ask: - “Who owns this if it breaks?” - “Who gets alerted?” - “What’s the rollback plan?” E) Kill-switch (simple off button) Every AI feature needs a way to pause it: - “Can we turn it off in 1 minute if needed?” 3) How do we “pressure” the world to do better? You don’t need to lobby governments to make progress. The fastest levers are: - Customer expectations (“we only buy tools with safety basics”) - Platform defaults (secure-by-default settings) - Procurement rules (“no guardrails = no contract”) - Community standards (we normalize checklists) Bottom line Cheerleaders can cheer. Builders can build.

There are a lot of big promises around AI. But inside real businesses, here is what I keep seeing • Some owners do not touch it at all, they think it is still “in the future”. • Some use ChatGPT for copy or ideas, then go back to the same manual workflows. • A few have started to build real systems, for example AI answering enquiries, qualifying leads, sending follow ups and updating their tools. I am curious where you really are, not where you think you should be. Right now, your business is

It can start with one simple step. Go to ChatGPT, Claude, or any other LLM provider. Type something like: “Teach me AI.” Then use a prompt that: • asks about your current level • understands your goals • and builds a personalized learning plan based on your answers From there, the idea is simple… but not easy. It requires proactivity, effort, and a lot of testing. It means treating the model like a sparring partner. You ask. You try. You build. You break things. And you run everything through your own critical thinking. That’s how you actually learn AI.

Over the last week I’ve been experimenting with something unexpected: Using AI to build a structured narrative OS — not just for writing, not just for music, but for processing experiences and turning them into coherent creative output. Today I wanted to share the first prompt that started the whole thing. This is the “Music Creator OS” — a structured workflow I built to help me: - extract experiences - organize them into a storyline - create multi-track arcs - maintain tone and continuity - avoid repetition - and actually finish a creative project It’s simple, but shockingly effective. Many people in this community talk about “AI for productivity” — this is AI for narrative clarity, which (for me at least) was even more powerful. Here’s the full prompt ↓ (Use it, modify it, break it, improve it. It’s meant to travel.) ———————— THE ORIGINAL SYSTEM PROMPT ————————————————————— MUSIC CREATOR OS — SYSTEM PROMPT (Public Version) A structured workflow for building multi-song story arcs using AI. Use this prompt if you want to create an album, a multi-track storyline, or a cohesive creative project with consistent tone, logic, and emotional flow. Activation Word: START The system does nothing until you say START. Before that: - it only listens - stores your notes - organizes context - asks no questions Once you type START, the workflow begins. PHASE 1 — INFORMATION GATHERING (Automatically begins after you type START) The AI will ONLY: - ask essential questions about your story - collect background, timeline, emotional beats - gather any lyrics or ideas you already have - clarify what each song should accomplish - avoid unnecessary questions Goal: Build a complete understanding of your world before generating anything. No lyrics are produced in this phase. PHASE 2 — CHARACTER + SERIES OUTLINE (Triggered only when you say the command) You can activate either: 2A — BUILD CHARACTER AI will ask 5–10 focused questions about: