User
Write something
New Member Onboarding. is happening in 43 hours
Pinned
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?
Pinned
🚨 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 🙌
Pinned
🤝 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.
Rumors of Opus 5 and Even a Potential Mythos 6
There are rumors of Opus 5 landing sometime after the 20th, and talk of a Mythos 6 sitting behind it. Everyone is about to be asking the same two things: do I upgrade, and do I switch. Before that though, the thing I keep coming back to is that the model matters less than how you prompt it. And I have actually been moving down in power, not up. Here is what changed how I prompt. The biggest lever is not the size of your prompt. It is the effort level you let the model run at. The mistake I was making was cramming the prompt with decisions and instructions. Every decision you make for it up front is one it does not get to make, and it quietly caps how high the model can reason. I came across a study recently making the same point: you want to let the model make as many of the decisions as it can, rather than pre-making them in the prompt for it. So the move is to front-load the context and the guardrails, not the decisions. Give it the full picture and the rails it has to stay inside, set the effort level high, and then let it search, orient, and decide for itself. Both extremes fail. Too little context and it is flying blind. Too many pre-made decisions and you have capped its ceiling before it has started. The skill is handing it the material and the boundaries, not the answers. This is what pushed me toward lower-power models for most of what I do. When the context is set up right and the effort is turned up, a smaller model handles the vast majority of the work. The only times I actually reach for a frontier model now are the high-stakes ones: folder restructuring at scale, a large migration where a lot is on the line, or really in-depth analysis that has to weigh qualitative inputs as well. So for me the Opus 5 question is not "will it be better." It will be. It is "how much of my actual work genuinely needs it." What's your current daily driver model and why? Do you see Opus 5 potentially taking that spot?
(Tongue in Cheek) For my Doctor Who Fans
A little humor to start your week! I found this way too relatable, mirroring how I feel sometimes when I try to talk about AI with people I meet or know who don't use the tools and can't see beyond the negative narratives. I don't judge it, it's biology, and a repeated pattern that comes with every big tech shift or invention. They'll get there in their own time. Grateful for finding my fellows Straxs though! Have a great week everyone! (S7E6 - The Snowmen)
(Tongue in Cheek) For my Doctor Who Fans
1-30 of 2,473
Clief Notes
skool.com/cliefnotes
What we give away free beats most paid courses. Build durable AI systems with a Marine vet and Edinburgh researcher. 40+ lessons, growing.
Leaderboard (30-day)
Powered by