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๐Ÿ“ข Announcements
Welcome to Clief Notes. Here's where to start.
1. Go check out ๐Ÿ“šNavigating 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. โญ 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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๐Ÿšจ New one in the NLP Logix series is live ๐Ÿšจ
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" ๐Ÿงฎ She came up through math (DNA computing, time series on commodities) and thinks about problems like proofs, not recipes. What we get into: ๐Ÿชจ The Indiana Jones "build me a chatbot" boulder she ran from in 2023 ๐Ÿšจ The 7 neural nets that "found" a signal that was completely fake ๐ŸŽ๏ธ A $5M Pagani vs a $100 Toyota, and why "best" is a trap ๐Ÿค– The first chatbot was built in 1966 (ELIZA)... these aren't new ideas ๐Ÿฌ Meta's SAM3 turning hours of labeling dolphin fins into a single prompt ๐Ÿง  Why half the companies asking for AI are solving the wrong problem โ–ถ๏ธ Go watch ๐Ÿ’ฌ Then drop a comment: What surprised you most, or what would you have asked her? Happy learning ๐Ÿ™Œ
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๐Ÿค NEW: The Connection Hub is live
๐Ÿ‘‹ Welcome to the Connection Hub - The Vault ยท 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. ๐Ÿ‘ฅ Specifically โ€” 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: ๐Ÿ’ฌ "I'd love to work with someone who gets this." ๐Ÿ’ฌ "I want to break into [industry] but don't know anyone in it." ๐Ÿ’ฌ "Who else here does what I do?" So instead of letting those connections happen by accident... I built a place for them. ๐Ÿ‘‡ ๐Ÿ—‚๏ธ๐Ÿ‘‹ Welcome to the Connection Hub - The Vault ยท 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.
We aren't that far from removing Claude/Codex from our ICM. 3B Model beats 1 Trillion parameters.
This isn't exactly a new model but it deserves recognition. A 3B Model called VibeThinker, beats models like Opus 4.5 and Gemini 3 Pro. While these aren't the latest frontier models, it gives us an idea of how open source will catch up and then beat frontier models while also being able to run on consumer level hardware, maybe not now, not in the next year either, but within the next 5 years? Definitely possible. It was built on top of Qwen 2.5 3B (Not even the latest low parameter qwen model either), and focused directly on reasoning tasks. Now the use case this model provides is very specific, it's mainly meant for generating outputs that have a direct Yes/No as an answer. Now that brings up the question, for most of the ICM systems where you aren't directly creating new software or having AI do insane tasks such as editing videos from scratch with animations and such, how far are we from removing frontier models entirely from our ICM systems? I would say that setting up the ICM folder and workflows inside of it can be given to one of the top models, but if the ICM is set up properly, it's a step by step workflow that doesn't change, the results do, but the steps to make the results don't (assuming this under the average use case of the ICM). So if a model is able to achieve something like this, we aren't that far from having tiny hyper focused/fine-tuned models or a cluster of tiny models for a specific use case being implemented into our daily lives. A model for content writing, a model for deep research, a model for front end HTML visual explanation pages. That's exactly what I'm on a mission to build, let's see how it works out. Might be a cluster of fine tuned models, or just a really smart MoE model.
Linkedin + AI Avatars = $29,3478
You don't need to be the one sending every connection request. Most founders think outbound only works if it's them. Their face. Their inbox. Their time. So they burn out trying to carry the whole pipeline solo. The fix isn't doing more. It's building a system that runs without you in it. I broke down exactly how we structure this for our clients real setup, no fluff. Video's linked below. ๐Ÿ‘‡
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