I kept watching Jake's videos, reading the ICM paper, Karpathy threads… and forgetting most of it a week later. Learning the wrong layer, but with my own knowledge. So I built the thing the content kept pointing at. Not a notes app. An ICM workspace for my own learning. The rules (sound familiar?): - raw/ is immutable. Transcripts, PDFs, papers. The LLM reads, never edits. - wiki/ is the LLM's workspace: entities, concepts, sources, analysis, overview. - index.md = catalog. log.md = append-only timeline. Welcome.md = the schema the agent follows. - Claude Code writes. Obsidian is the front-end. I read; it writes. - Every claim links to a source. No orphan facts. One ingest: I drop a transcript in raw/ and say "ingest it." A single 22-min Van Clief video cascaded into ~10 linked pages in one pass (a summary, 2 new entities, 5 updated pages, index + log), cross-linked, with contradictions flagged rather than silently resolved. After ~3 months: ~35 sources, 84 interlinked pages, every claim cited. No vectors, no RAG. The folder path is in the memory, and I can read every byte. I'm using the method to learn the method. Folders over agents, pointed at my own head. (I'm starting an AI-implementation practice in Brazil built on ICM, so this doubles as the knowledge base behind my client work.) Schema's attached if you want to start your own. What would you ingest first?https://github.com/jarantes-prog/icm-knowledge-vault

The waitlist is up and seats are limited, so this is your nudge to go lock yours in. 👇 New here? Quick context. 👀 The Lyceum is Jake's live cohort program built on ICM, the methodology 35,000 people in this community are already using to get real results with AI. The short version: folders over agents. You learn the layer underneath the tools, the one that keeps working when the next model drops. Full breakdown is on the site. Here's what's inside: 🎯 Three cohorts, Technical, Business, and Creator. Same methodology, built around what you actually do. 🎥 Live sessions with Jake and a full team of instructors. ♾️ Lifetime recordings, written curriculum, and a private cohort Discord. 📜 An Eduba ICM certification you can put on your resume. And a guarantee no course makes: ✅ You leave with a working product, or the team finishes it with you. ⏳ Seats are limited and this community moves fast, so the math is not in your favor if you wait. 💡 Pricing and start dates aren't public yet. The waitlist sees them first, gives feedback on timing, and gets in before the program opens. Everything you want to know is on the page. If you already know this is for you, get on it. 🔥 👉 https://lyceum.eduba.io

At a going away party this weekend, I was talking to some government workers who mentioned they're mandated to use Copilot at work every day. Naturally curious I asked, "Oh what do you use it for?" They both sheepishly admitted that they don't. "We just don't see how it's useful for what we do." Later that night: birthday dinner at a German restaurant I'd been trying to get to for years. Some old theater colleagues: a props artisan, a lighting designer, they spend their days with hands-on physical work. AI didn't come up once. Meanwhile I was sitting at the table quietly asking Claude to translate the menu. It didn't just give me definitions — it told me the story behind one of the dishes. Monks during Lent, hiding meat inside pasta to get around fasting restrictions. Made for a very fun conversation topic but nobody noticed I had found out from Claude. It's very interesting being inside this bubble of thinking about how to make the most of AI all the time and finding that everybody else seems to just not care. A small win though, my brother got a Claude subscription this weekend. I've been sharing with him what I've been able to do with what I've learned here and it took him a bit to get over the hurdle of paying for a subscription (he's very frugal), but after a day auto-transcribing a jazz improvisation recording straight to sheet music, he's already organizing his context with folders and texting me about projects he wants to build. How is everyone else finding how people outside the community talk about AI?

Been sitting on this for a few weeks and figured it's time to show you. 👀 Over the last month, three companies have reached out asking the same thing. How do we hire people from Clief Notes. They've seen what folks here are building with ICM and they want that on their teams. Not LinkedIn AI experts. Not Coursera grads. People who can actually ship. So we're building it. 🛠️ talent.eduba.io Heads up, that's a demo. No real backend, no signups, no live data. Click around and you'll see what the full thing is going to be. A private platform where you list yourself with a real portfolio, companies browse, and they request an intro through us. We make the intro. You take it from there. Few things worth knowing. 🔍 Every profile gets reviewed by the Eduba team before it goes live. The quality bar is the whole point. 🔒 Companies don't see your last name, your employer, or your contact info until we make a formal intro. You can block your current employer too, plus five more companies if you want. Nobody you don't want seeing you sees you. You can list as actively looking, open to offers, or not looking. Passive welcome. Honestly most of the strongest people we've trained are employed and plan to stay that way until the right thing shows up. That's fine. Sit on the platform, see what comes through. 💰 When a placement happens you get a $500 to $1,000 bonus after 90 days in the role. On top of whatever you negotiate. We pay you for staying. This is why the community matters. Companies aren't asking us for resumes. They're asking us for the people who already get it. ICM, agent architecture, knowing when not to use AI. That's not on a LinkedIn profile. Go click around. Tell me what's missing, what's confusing, what you want to see when the real thing ships. We're already building it. 🚀

📊 You've probably seen this chart floating around LinkedIn and Twitter Each dot is 3.2 million people. ⬜ Grey is the 84% of humans who have never used AI 🟩 Green is the 16% who have used a free chatbot 🟨 Yellow is the 0.3% who pay for one 🟥 Red is the tiny sliver who use AI coding tools Most of the people sharing it have not actually said what it means. So here it is. 🔁 We live inside an algorithm. Mine shows me AI all day. Yours probably does too. Every reel, every post, every podcast clip, every ad. The feed makes it feel like the whole world has moved on without you and you are sprinting to keep up. Inside Clief Notes that feeling gets louder. You log in and see people building agents, shipping side projects, automating their inbox, talking about Claude Code and MCP servers like it is normal. In this room, it is. Step outside and almost nobody is doing any of it. 6.8 billion people have never opened a chatbot. Plenty of the ones who did opened it once, asked it something dumb, got a dumb answer, and decided the whole thing sucked. They are not coming back this year. Maybe not next year either. 🪖 When I was in the Marine Corps I never felt like I was doing anything special. I was surrounded by other Marines. Everyone around me could do what I could do. The standard was the standard. It was not until I left and stood next to people who had never served that I understood. The thing I thought was ordinary was rare. I just could not see it because I was inside it. That is what is happening to you in here. If you feel behind in this community, that is the right feeling to have. It means you are standing next to the people pushing the edge. Step outside this room and the thing you are calling behind is so far ahead of where most of the world is sitting that they cannot see you from where they are. And do not forget. The thing you built last week, the workflow you set up this morning, the conversation you just had with Claude. A version of you from two years ago would have paid good money to do any of it.