Idea 1: Transformer Architecture & Multi-Pass Thinking
50% of the solution is knowing the problem. Transformers solve this with Query, Key, Value attention.
Analogy: Librarian + Book + Contents
The transformer attention mechanism teaches us to think in three passes.
Scaled Dot-Product Self-Attention
What am I looking for?
Where should I look?
What content do I extract?
Human Application
• Pass 1: Locate - What's important? Where to focus?
• Pass 2: Identify - Who you are, what you need
• Pass 3: Extract - Organize and structure the content
Dialogic Approach to Knowledge
In therapy or self-reflection:
- 50% is finding what's important to you
- 50% is the "what" and "how" of contents
Key insight: Multiple passes help us overcome cognitive fixation and limited working memory - just like transformers overcome limited context windows.