Kinder @kinderlayer
All of AI, minus the hype. Just what actually works. DMs OPEN Joined September 2022-
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this is f*cking gold. Every time you explain your projects to Claude from scratch, you’re doing work your files could be doing for you. Here’s a second-brain setup you can actually copy: 1. Create a folder called second-brain and open Claude Code inside it. 2. Add three folders: • notes/ - facts, research, ideas • people/ - contacts and meeting notes • projects/ - one file per active project 3. Add three files: • MEMORY.md - essential context about you • decisions.md - decisions and the reasoning behind them • LEARNINGS.md - mistakes, lessons, things to repeat 4. Create CLAUDE.md in the root folder. Describe where everything lives, then add these rules: Read the relevant files before answering. Cite the file you used. If information is missing, say so. Keep one topic per file. Update existing notes instead of creating duplicates. 5. Start with ONE real project. Add its goal, current status, last decision, blocker, and next action. 6. Test it: Where did I leave this project, why did I choose this approach, and what should I do next? Check the answer against your files. 7. Before ending a work session, ask: Save today’s decisions, update the project status, and record the next action. That last step keeps the system useful tomorrow. The video shows how these pieces connect. Save this checklist, then open the quoted guide for the full setup.
@nofadsec @perturbaix Clean visualization of vision vulnerabilities
@catmanyau Citations make context fully auditable.
@me_cool_off @variational_io Low competition means maximum efficiency.
@Bober_smart @bet25com Odds compounding makes huge difference.
@slash1sol Thanks for saving! Hope it saves you tons of context setup time in Claude Code.
@0xKorens Simplicity is everything here. Complex setups die after two days, but clean Markdown files stay forever.
@slash1sol @datavendor_ai Private RL environments are the new moat.
@gippp69 Interactive Bloch sphere visualizations paired with step-by-step LLM tutoring is how complex quantum concepts actually click.
@MAXdeg0 It’s a massive game changer. Being able to ask Claude months later why a specific architecture choice was made saves so much headaches.
@jeheskielsunloy 100%. Deterministic Markdown files beat vector DB overhead every time when you’re maintaining project context.
@kyzoroX Appreciate it, build once run forever!
@MAXdeg0 Pre-purchase verification and certified test environments will fix the massive quality asymmetry in AI training data markets.
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