This diagram illustrates that human reasoning and AI reasoning share fundamentally identical structures.
Key Insights:
Common Structure Between Human and AI:
- Human Experience (EXP) = Digitized Data: Human experiential knowledge and AI’s digital data are essentially the same information in different representations
- Both rely on high-quality, large-scale data (Nice & Big Data) as their foundation
Shared Processing Pipeline:
- Both human brain (intuitive thinking) and AI (systematic processing) go through the same Basic of Reasoning process
- Information gets well-classified and structured to be easily searchable
- Finally transformed into well-vectorized embeddings for storage
Essential Components for Reasoning:
- Quality Data: Whether experience or digital information, sufficient and high-quality data is crucial
- Structure: Systematic classification and organization of information
- Vectorization: Conversion into searchable and associative formats
Summary: This diagram demonstrates that effective reasoning – whether human or artificial – requires the same fundamental components: quality data and well-structured, vectorized representations. The core insight is that human experiential learning and AI data processing follow identical patterns, both culminating in structured knowledge storage that enables effective reasoning and retrieval.
Lechuck Park 
This is in fact how most people reason. Given the right training data, it’s a solid model for low grade AGI, suitable for for replacing nine out of ten human workers.
The upper fringe mind works on different principles. A High Functioning Normie also is capable of some second order logic.
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That’s right. I also wanted to highlight that optimization in image content is possible even with good data.
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