1. I've been trying to reduce my writing and note taking into shorthand. Haven't taken good time out of my schedule to practice this yet though.
2. I think chunking probably has large effects on how quickly you can think things. Purposely trying to chunk concepts for an hour a day may lead to something interesting.
3. Also relates to Chain of Symbol (CoS) in LLMs.

Sorry for commenting on so many of your comments, but they're very interesting to me.

The reason I can think this would work, is because maybe there are a lot of floating Neurotransmitters that enzymes can't catch in time that are binding to random synapses. Then, if you decrease the density of the brain, a floating neurotransmitter has further to travel before starting a random reaction. Totally possible I'm missing something.

This is a very interesting question. I have not interacted with anything Tuplamancy since I was a teen. But I imagine it's mostly doing something in language centers. But then... Idk. I need to think about this more.

If you'd like an explanation from Claude that starts quite basic and builds up, I have had great success with the following phrase as a "Style" in app, no changes necessary.

"Wait, start from the baseline and work your way up to the explanation"

Perhaps a silly question, but does the recent "Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs" paper, imply that people calling a model good or bad online results in a self fulfilling prophecy?

e.g.

1. Bob Says "Alice.ai is bad"
2. Alice.ai is trained on this data
3. The next iteration of Alice.ai will think of itself as worse than if Bob had never made that comment. This results in Alice.ai creating bad outputs
4. Those bad outputs push Charlie over a threshold and Charlie says "Alice.ai is bad"
5. Loop

Edit: Oops, I didn't realize Alice.ai was a real site. Though it's got a pretty art style, so I'll keep it in here.

Feels weird to be linking to a video on LW. But you’ve just gotta watch this It’s brilliant.

• Create educational content to sway opinions of large voting demographics. Especially when you can successfully signal that you are a part of that demographic.
• Do what Zvi is doing but for a lower IQ audience
• Form organisations in your local area
• Try your best to avoid making AI a culture war
• Stay grounded

I think this post points at something quite important. I might suggest adding a TLDR at the top, because the implication section is most valuable, but gets buried.

Anyhow, strong upvote from me.

Not sure yet. I haven't had the opportunity to try it out. I expect it'll be cut down as I use it, for friction avoiding purposes. I'll update in a week if I've found anything interesting.

Haha! I did the exact same thing. I have a Claude project that makes templates for me draft one up. It's a much longer version of yours. I think I'll probably steal the one you made instead. But, I'll post this here in case anyone wants a longer version.

type: think-faster created: <% tp.date.now("YYYY-MM-DD HH:mm") %> tags: [think-faster, reflection] aliases: ["TF-<% tp.date.now("YYYYMMDD-HHmm") %>"] situation: "" duration: 5 # minutes spent on reflection difficulty: 3 # 1-5 scale

Think it Faster - Quick Reflection

[!info] Situation What happened? Brief description of the situation or problem that took longer than ideal to solve.

Part 1: Analysis

[!note] Actual Steps Taken

[!tip] Optimal Path What would be the minimum necessary steps to solve this?

Key Insights

1. Wasted Motion: What steps could have been skipped?

2. Missed Opportunities: What clues or approaches did I overlook?

3. Required Skills: What capabilities would have helped?

Part 2: Future Application

[!question] Pattern Recognition Where else might this lesson apply?

• Past:
• Future:
• Next Week:

Action Plan

4. Immediate Action: What can I do right now?

5. Trigger Setup: When should I remember this lesson?

   • When I feel [emotion/situation]
   • During [activity/context]
   • Before starting [task type]

6. Success Prediction: How confident am I this will help? (/10)

   • Confidence:
   • Why:

Quick Wins

[!important] Key Takeaway The single most important insight from this reflection:

Review Prompts

• [ ] Did I identify the true bottleneck?
• [ ] Is my action plan specific enough?
• [ ] Have I set clear triggers for future application?
• [ ] Could this insight generalize to other areas?

[!note] Related Notes Previous similar situations: [[]] Related principles: [[]] Skills to develop: [[]]