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Afternoon Tea is happening in 3 days
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🚨 New one in the NLP Logix series is live 🚨
Sat down with Katie Bakewell, a data scientist who's been building this since 2011, back when it was still just called "natural language processing" 🧮 She came up through math (DNA computing, time series on commodities) and thinks about problems like proofs, not recipes. What we get into: 🪨 The Indiana Jones "build me a chatbot" boulder she ran from in 2023 🚨 The 7 neural nets that "found" a signal that was completely fake 🏎️ A $5M Pagani vs a $100 Toyota, and why "best" is a trap 🤖 The first chatbot was built in 1966 (ELIZA)... these aren't new ideas 🐬 Meta's SAM3 turning hours of labeling dolphin fins into a single prompt 🧠 Why half the companies asking for AI are solving the wrong problem ▶️ Go watch 💬 Then drop a comment: What surprised you most, or what would you have asked her? Happy learning 🙌
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Welcome to Clief Notes. Here's where to start.
1. Go check out 📚Navigating The Course to see how to get around and what's here. 2. Start with The Foundation. Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things join in on our Biweekly competitions and win some real cash. ⭐ Competitions Mega Thread 5. If you are wanting to dive into the masterminds, grab all the past templates, artifacts and resources. Upgrade and head into the The Vault for Premium and The Drawing Room (VIP) for VIP 6. Post your work. Ask questions. Help others when you can. What are you here to build?
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🤝 NEW: The Connection Hub is live
👋 Welcome to the Connection Hub - The Vault · Clief Notes So I was on the onboarding call this today, and one thing kept coming up that I couldn't stop thinking about: The biggest value of this new age isn't just the tools. It's the people. 👥 Specifically — people who understand AI the way THIS community teaches it. Not "prompt hacks" and not "10x your output" nonsense, but actually building systems, thinking in workflows, and treating AI like a real part of how you work. That's a rare group. And a lot of you told me the same thing: 💬 "I'd love to work with someone who gets this." 💬 "I want to break into [industry] but don't know anyone in it." 💬 "Who else here does what I do?" So instead of letting those connections happen by accident... I built a place for them. 👇 🗂️👋 Welcome to the Connection Hub - The Vault · Clief Notes It's a simple set of pages, split by industry. You find your corner, drop a quick intro about what you actually do and what you're looking for, and connect with people who speak your language.
Connection Hub:🌱 Solo, Student & Exploring
Intros for The Connection Hub - The Vault 👤 Who I am: (name + where you're based) 🛠️ What I actually do: (the specific work — not "I'm in real estate" but "I run a 3-agent team doing residential resale in Austin") 🤖 What I'm building with AI right now: (your current project, workflow, or the thing you're stuck on) 🎯 What I'm looking for connection-wise: (pick one or two) 💡 Someone who's solved [X] 🤝 A collaborator / accountability partner 👀 Just here to learn from people in my field 🧰 Trading workflows & systems 📬 Best way to reach me: (DM here / comment / link)
If Your Specialized Agents Don't Think Differently. They Should.
My daughter @Brooke Hays has been studying cognitive functions for five years. She's 17, just graduated, and looking to become a holistic health coach. Last month, she typed 18 of my OS agents in one night using this framework. Today, she ran a live experiment for us on the Bullhorns & Bullseyes podcast. Two ChatGPT Projects (specialized agents). Same base model. Same prompt. Same input. Different cognitive functions wired into the instructions. Leora (Ne-Ti): came back with five ranked hypotheses and started asking unprompted follow-up questions. Her job was to explore the possibility space before locking anything down. Malachi (Ni-Te): one sentence on what was happening, then step-by-step logic, then exact next actions. No hypotheses. No exploration. Just the path. Same prompt. Different mind. Here's the operator problem: most agent teams are built like a roster of Michael Jordans. Same base model, same instruction pattern, same cognitive shape. You get consistency, but you lose the thing Rodman gave the Bulls - the guy who couldn't shoot and was irreplaceable anyway. The Bulls of the 90's had Jordan, Pippen, Grant, Kerr, Cartwright, Rodman, Kukoc. The argument we're proposing is that you want a diverse team. A diverse team of specialists, correctly assembled, is better than a team full of 5 Michael Jordans. Or take the 2002 Oakland Athletics, for example, made famous by the movie Moneyball. The A's featured a mix of college draftees, veteran players, and international all-stars. The diversity of the team wasn't just in their backgrounds; it was cognitive as well. With a front office that was willing to value unorthodox styles, older players, and statistical indicators that the rest of MLB ignored. Here's how we see it: your research agent and your copywriting agent should not think the same way. A Ne-Ti research agent generates possibilities and asks questions you didn't think to ask. An Ni-Te execution agent closes the loop and tells you what to do next. Run them in sequence and you've got a team. Wire them the same and you've got one guy doing everything at half capacity.
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