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New Member Onboarding. is happening in 4 days
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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.
Recommendations for hardware (Desktop/Laptop)?
So I'm quite conflicted as of now. I've been looking into it for 2 weeks but still can't decide. Then I remembered that I'm part of a 36,000 member community with experts everywhere, so why not ask here. Here's the "context.md": I am a university student but I also love experimenting and working with open source frameworks, LLM's and so on. So a lot of the parts I value is: Portability - A laptop let's me easily go anywhere with all my work, projects, anything and everything. An issue though, because they are laptops, that means it can't handle as much power (watts) coming in = less performance. This again could be a very minor issue, don't have experience with MacBook's but everyone running portable AI friendly local hardware always has a MacBook. - Yet another caveat, it's still possible to have a whole home desktop and connect with it over the internet, but there's always a slight delay and it might not feel that smooth ruining the "flow state" or whatever, not too sure about this as I haven't tested anything other than https://remotly.com for very light usage. Performance - The most important thing is performance of course, I want to run 9B, maybe even Gemma 4 26B on top of tons of locally running systems like my own OS, Hermes, cron jobs and so much more. The overall aspect - Things such as "If I get a laptop, will it sound like an airplane", "Is the plastic good enough to sustain 4-5 years of constant moving in a bag, floors (in a bag) and so on?", "Is the battery life good enough to hold out if I am out the entire day (considering I don't use 100% of the ram of course)", "Cuda would definitely be good, most of the open source LLM stuff is easily supported by Cuda, aka RTX's", "Can 32GB's of DDR5 RAM hold out better than a 16 GB RTX 6 GB VRAM laptop, and is it even worth getting a RTX x on a laptop? Instantly butchering the capabilities?". Now the budget aspect Over the last few weeks I've had come to a few conclusions:
Nobody in vibe coding talks about security. Gap, or just me?
I spent this week doing something I don't see talked about much in the vibe-coding world. Instead of just shipping my site, I tried to break it. I built it careful. Rate limiter, guards, the usual. But reading your own code never catches anything, you wrote it, you're blind to it. So I pointed an AI at it and told it to act like an attacker. It got in in about 40 seconds, through a header I forgot you could fake. Then it found two more holes on the poll, same root cause: a security switch flipped on, but the rule behind it let everyone through. Dashboard said protected. It wasn't. Fixed it the same day, then ran the attack again live on the patched version to check the work. What's stuck with me since: this whole space is optimized for building fast. Almost nobody talks about building it so it lasts, or so it doesn't quietly leak everyone's data because you never thought to ask it not to. That maintainable, secure side is the part I actually care about, and it feels underserved. So I'm curious what you all are seeing out there. Is there real appetite forming for the "build it right, not just fast" angle? Or is the market still mostly heads-down on speed and model comparisons? Trying to read whether this is a lane worth going deeper on. Video where I walk through the whole thing: https://youtu.be/mdQ8xiKWTc0
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