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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 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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🤝 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)
How to Actually Choose Between GPT-5.6 Sol, Terra, and Luna
*Fact-checked July 12, 2026. Availability, limits, and rate cards can change.* ## Executive summary — TL;DR / BLUF GPT-5.6 is easier to use when you stop treating Sol, Terra, and Luna as a quality ladder and give each one a different job: - **Sol investigates.** Start with **Sol High** when the problem is hard, unclear, or spread across systems. - **Terra executes.** Use **Terra Medium** when the plan, boundaries, and acceptance checks are already defined. - **Luna processes.** Use Luna for narrow, repeatable, high-volume work with an automatic or inexpensive review path. - **Max is an escalation, not a badge.** Pay for it after High fails because the model did not explore deeply enough. - **Ultra is a team, not a reasoning level.** Use it only when the work can be split into genuinely independent branches. Our week of real use reinforced one rule: **the best configuration is the cheapest one that can reliably produce a verified result.** Sol needed stopping conditions. Terra was strongest against explicit gates. Luna was reliable when the output contract was exact. One current usage note matters: **as of July 12, the five-hour restriction for Codex and ChatGPT Work temporarily does not apply to Plus, Business, or Pro, although weekly limits still apply.** OpenAI also says its experiments with internal reasoning budgets—“juice values”—were reverted. Do not treat hidden values circulating in screenshots as stable product settings. ## The picker is asking the wrong question “Which GPT-5.6 model is best?” sounds reasonable, but it collapses three decisions into one: 1. What kind of job is this? 2. How much exploration does it need? 3. How will I know the result is good enough? The first decision chooses Sol, Terra, or Luna. The second chooses reasoning effort. The third determines whether the cheaper route is actually cheaper after retries and review. OpenAI’s broad guidance is clear: Sol is for complex reasoning and coding, Terra balances capability and cost, and Luna is for cost-sensitive volume. The missing piece is an operating policy for actual work.
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