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[permaculture] Go here: venaura permaculture (@venaurapc.bsky.social) — Bluesky to see my posts on AI and why it is important to people in PC
- From: Lawrence London <lfljvenaura@gmail.com>
- To: permaculture <permaculture@lists.ibiblio.org>
- Subject: [permaculture] Go here: venaura permaculture (@venaurapc.bsky.social) — Bluesky to see my posts on AI and why it is important to people in PC
- Date: Sat, 4 Apr 2026 00:50:36 -0400
Go here: venaura permaculture (@venaurapc.bsky.social) — Bluesky to see my posts on AI and why it is important to people in PC
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Try CLAUDE
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Yesterday and today I have posted a few Earth-shaking posts about AI, how to use it and how to benefit from it.
1) AI Tools for those creating projects with online AI services
2) AI engines online for the public to use, free or with a free account.
"16 Must-Have AI Tools to Make Your Career Tasks 16x Easier"
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Everything you need to know about Claude."
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Breaking: MIT just quietly dropped one of the most valuable AI learning lists on the internet
12 MIT-level AI books
From foundations → deep learning → RL → probabilistic ML."
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In 2019, a MIT lecture revealed something unsettling about your own mind.
Most people never think about it.
It came from Nancy Kanwisher and instead of explaining the brain, she showed how it quietly shapes everything you experience."
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References about "chunking". See especially the link to the
researcher/course at Duke University who has done extensive work on the
benefits of chunking."
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This is the complete Claude Code learning path — videos, repos, docs, and books.
No noise. No confusion. Just everything in one place."
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Claude code full step-by-step guide
video i4 hours long covers nuances working with Claude
how to build your own project using Claude"
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How to set up Claude Code (without ever coding):"
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Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
The people who watch this tonight will wake up tomorrow with a skill that most people will not have in 2 years."
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AI engines, good and bad
[] The good ones:
The ones that actually stood out did one specific thing differently.
They classify intent before they ever touch a model.
Here's the 3-tier decision tree the best ones use:"
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Tech Nation
"Episode 26-12 You Are Smarter Than You Think!!!"
On this week’s Tech Nation, you are smarter than you know - Dr. Angus Fletcher talks about “Primal Intelligence”
"Egmont Colerus's "Mathematics for Everyman""
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GROK
x.com/i/grok
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Barbara Oakley's contribution to improving your brain function
and learning new skills."
A professor of engineering who failed math all through school built one of the most popular online courses in history by figuring out exactly why her brain had been working against her the whole time.
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Your working memory is an octopus sitting in your prefrontal cortex with exactly four arms. Those four arms reach out and grab pieces of information, hold them in place, and manipulate them while you are actively thinking through a problem. Four is the limit.
When you try to hold more than four things in conscious awareness at once, the arms start dropping things and everything becomes a scramble which is exactly what you experience as confusion when learning something genuinely difficult.
This is not a flaw. It is a design feature. And the entire game of becoming expert at anything is learning how to game this constraint.
The mechanism is something neuroscientists call chunking, and it is the most underexplained concept in all of learning.
When you practice something enough times that it becomes automatic a guitar chord, a grammatical structure, a mathematical procedure, a debugging pattern in code your brain compresses it into a single neural package stored in long-term memory. That compressed package now fits in just one of your four working memory slots instead of filling all of them.
Which means once you have built enough chunks, your octopus can reach down into long-term memory, pull up an entire complex procedure in a single grab, and still have three arms free to work with new information on top of it.
This is what expertise actually is. Not raw intelligence. Not natural talent. A library of compressed patterns that can be retrieved quickly and stacked together to solve problems that would overwhelm a beginner whose working memory is still occupied with fundamentals.
The finding that Oakley emphasizes most forcefully is the one that sounds backward until you understand the mechanism. People with smaller working memory capacity those who can only hold two or three items at once rather than four are often forced to develop stronger chunking habits earlier and more aggressively than people with larger working memories, because they have no choice. Their constraint becomes their training. Over time, that aggressive chunking practice can produce more robust expertise than a larger working memory that never had to be disciplined in the same way.
The most powerful practical implication is this: when you feel completely overwhelmed trying to learn something, that feeling is almost always your four-slot octopus running out of arms. The solution is not to concentrate harder. The solution is to stop, isolate one small piece of the problem, practice it until it compresses into a single chunk, and only then pick up the next piece.
You cannot learn everything at once because your brain was never designed to hold everything at once. It was designed to build libraries of compressed knowledge and retrieve them on demand.
Every expert you have ever admired is not smarter than you. They just have a bigger library.
- [permaculture] Go here: venaura permaculture (@venaurapc.bsky.social) — Bluesky to see my posts on AI and why it is important to people in PC, Lawrence London, 04/04/2026
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