You’ve already been training the dataset One thing I think we’ve been missing when we talk about “training your AI”: You’ve already spent years creating data about yourself. Spotify has your listening history. YouTube has your watch history. Google Photos has years of places and memories. Your calendar knows how you actually spend your time. So a good first AI project might simply be: Get some of your own data back and see what you can build with it. For example: Spotify history → AI analyzes your actual music taste → n8n checks upcoming concerts → you get a message when someone you’d probably love is playing nearby. That one little project teaches data, connectors, automation, AI reasoning and personalization without starting with a lecture on any of them. 🧪 Guild experiment: Which account would you mine first? And what would you want your AI to learn from it?

Most people treat AI conversations as disposable. We’re beginning to treat them as a learning history. Today’s post is actually an example. I asked AI to look across our previous conversations and find experiences that had already taught us something. It surfaced moments like: - I forgot how my own website worked, found the old conversation where we built it, and reconstructed the project from that saved state. - A valuable conversation disappeared. The main idea survived—but the exact wording, objections, examples, and turning points did not. - Across several projects, the same pattern kept appearing: real activity becomes source material, which becomes a lesson, workflow, or new system. That changed my mental model. A single prompt tells AI what you’re thinking now. Continuity lets AI compare now with before. The difference between those two states is where many of the best lessons are hiding. ⚔️ Today’s quest Find one older AI conversation about something you were learning, building, or deciding. Ask: “Read this as a learning historian. What did I believe at the beginning? What changed? What evidence caused that change? What could this teach someone else?” Share one result: Old topic: Recovered lesson: What changed in my thinking: Remove anything private before posting.

Can you explain how 1s and 0s become TikTok? That might sound like a joke, but I think it’s one of the most important questions we can ask right now. Most of us use computers every day without really understanding what is happening underneath the screen. Somewhere between: 1s and 0s → electricity → logic gates → processors → operating systems → networks → cloud servers → databases → software → TikTok …there is an enormous gap in our mental model. And now AI is giving us the ability to build increasingly powerful things without necessarily understanding that stack. That is incredible. It is also exactly why I think computer science fundamentals are becoming more important, not less. You do not need to become a computer engineer. You do not need to memorize binary or write assembly code. But if AI is going to become one of the most powerful tools in your life, I think you should understand the machine you are directing. So here’s today’s Guild question: Could you explain, even roughly, how a 1 and a 0 eventually become an app like TikTok? If the answer is no, good. That means we found a quest. ⚔️ That’s exactly the kind of gap we’re going to start closing together. #AIInnovatorsGuild #AILiteracy #ArtificialIntelligence #ComputerScience #CloudComputing #AIAgents #LearnAI #FutureOfEducation #TechEducation #DigitalLiteracy #AIEngineering #LearnByBuilding

Yesterday, I sat down on my balcony with a microphone, several cameras, and an idea that wasn’t fully formed yet. Instead of writing a polished script, I started with a conversation. By today, that conversation had become a finished multicamera YouTube video. AI helped us: • Transcribe the conversation • Sync footage from multiple devices • Find the strongest moments • Tighten pauses • Switch camera angles • Review, revise, and render the final cut But AI didn’t decide what I believe. It didn’t decide which ideas felt true, which suggestions sounded like me, or what I wanted to share. I still had to speak, direct, reject weak ideas, reshape suggestions, and approve the final result. ✨ AI didn’t replace the creator. It helped the creator keep moving. The biggest lesson? A lot of people don’t struggle because they lack ideas. They struggle because sitting alone and trying to manufacture a polished script can feel unnatural. Conversation changes that. You can start with the messy version, think out loud, refine the idea, and gradually discover what you actually want to say. Sometimes, the conversation becomes the creative engine. And sometimes, the process itself becomes the content. We filmed this yesterday and finished the edit today. More importantly, we built a reusable AI-assisted production system that can help us create future YouTube videos, Reels, TikToks, and other content much faster. That’s the kind of work I want us to explore inside AI Innovators Guild: 🧠 Practical AI 🎥 Creative systems 🛠️ Real projects 🚀 Human-led innovation 🌱 Ideas turned into something useful This is our first proof of concept. What’s one idea you’ve been sitting on because you weren’t sure how to turn it into content?