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Enabling Environment |
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Imagine the place you do your best work. Andy Matuschak defined this, and as someone who aspires to effectiveness, I fell in love with the concept. As a techie who loves efficiency, I also set about building my own. From Andy: An enabling environment significantly expands its participants’ capacity to do things they find meaningful and important. This blog is the consumption environment for mine.
- From Andy
- Igor's Computing Setup
- Igor's Physical Setup
- By Task
- The rider, the elephant, and the path
- By Scope
- Visualizations
- AI Augmentation
There's so much to say here. Pulling in some content from Andy: {%include blob_image_float_right.html src="blog/raccoon-enable.webp" %}
- Igor's about page
- Some of the features in the readme.
- Tons of VIM/CLI stuff
At its core, is writing:
{% include summarize-page.html src="/writing" %}
- I think there are some coffee shop rituals that are part of mine.
{% include summarize-page.html src="/switch" %}
You'd think this is about the rider, but the elephant is super important too
Mood matters, and for some reason, illustrating my blog makes me thrilled. If I'm stuck having DALL-E illustrate my blog makes me thrilled!
Check out illustrate.py
Check out think.py
Check out this thing on embeddings. I think the story here needs to be embeddings + rag
Old school, but pretty simple, perhaps do a second pass through gpt to simplify
Ala - obsidians graph view
What I'm most excited about is how to expand this with AI. My thinking program is my first cut.
Spell check and summary/eli5/TLDR are the obvious ones, but what if we extended to reflection questions, implicit assumptions, etc....
Running over Andy's enabling environment page ...
gist.github.com/idvorkin/25eadce2222a09d9dca620679afd59d6
github.com/idvorkin/nlp/blob/main/think.py
https://gist.github.com/idvorkin/25eadce2222a09d9dca620679afd59d6