This image shows a flowchart titled “Road to AI” that illustrates the step-by-step process of AI development.
Main Stages:
- Digitization – Starting from a globe icon, data is converted into digital format (binary code)
- Central Processing Area – Data is processed through network structures, where two key processes occur in parallel:
- Verification – Confirming data accuracy
- Tuning – Improving the model through “Higher Resolution” and “More Relative Data”
- AI System – Finally implemented as an AI robot
Development Phases (Right Side):
- “Easy First, Everybody Know” – Starting with simple tasks that everyone can understand
- “Again & Again” – Iterative improvement process
- “More Difficult & Auto Decision” – Advanced stage with complex and automated decision-making
This diagram visually represents how AI development progresses from simple data digitization, through continuous verification and tuning processes, and gradually evolves into sophisticated AI systems capable of complex automated decision-making. The process emphasizes the iterative nature of AI development, moving from basic, universally understood concepts to increasingly complex autonomous systems.
With Claude
Lechuck Park 