Voice Dictation for Obsidian: Notes, Zettelkasten & Knowledge Management

Contextli outputs:

# Compound Interest of Knowledge

Knowledge compounds like money. Each new piece of understanding builds on existing knowledge, making future learning easier.

## The Mechanism
- New information attaches to existing mental models
- Specialists learn faster in their domain because they have dense connection networks
- Beginners struggle because they lack attachment points

## Implications
- Early investment in learning pays exponential returns
- Depth in one area accelerates breadth
- "T-shaped" knowledge (deep + broad) compounds fastest

## Related
- [[learning-how-to-learn]]
- [[mental-models]]
- [[expertise-development]]

#knowledge #learning #compounding

Contextli outputs:

# Daily Note - {{date}}

## Wins
- ✅ Fixed authentication bug (3 days of blocking work)
  - Root cause: race condition in token refresh
  - [[debugging-race-conditions]]

## Lessons Learned
- Check async timing issues early when debugging intermittent failures
- Race conditions often appear as "random" bugs

## Key Conversations
- **Sarah** - Q2 roadmap discussion
  - Decision: Prioritize mobile over dashboard redesign
  - [[q2-planning]]

## Tomorrow
- Start mobile feature planning
- Document the auth fix for the team

#daily #debugging #planning

Contextli outputs:

# Thinking Fast and Slow - Notes

**Author:** Daniel Kahneman
**Type:** #book #psychology #decision-making

## Core Concept: Two Systems

### System 1 (Fast)
- Automatic, intuitive, effortless
- Operates constantly without conscious input
- Source of most cognitive biases

### System 2 (Slow)
- Deliberate, analytical, effortful
- Requires conscious attention
- Tires quickly (ego depletion)

## Key Insight
We believe we use System 2 more than we actually do. Most decisions—including important ones—default to System 1.

## Implications
- Cognitive biases aren't bugs; they're features of System 1
- Critical thinking requires deliberately engaging System 2
- Environment design matters (reduce decisions requiring System 2)

## Related Notes
- [[cognitive-biases]]
- [[decision-making]]
- [[mental-models]]

## Questions
- How to train better System 1 intuitions?
- When is System 1 more reliable than System 2?