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Returning to Simplicity: Complexity is an Inevitable Path in Cognition
Cognitive Development
👤 Learners and practitioners interested in cognitive science, AI applications, and investment strategies, seeking readers for deep thinking
This article uses examples from AI programming and investment to illustrate that cognitive development must go through a complexity stage to achieve true simplicity (returning to basics). The author points out that good abstraction requires a deep understanding of the problem domain and cannot skip complexity, otherwise one falls into the 'Midwit trap'. Navigating complexity requires investing attention and recycling cognition, reducing learning costs through controlled small-scale practice. Ultimately, the simplicity gained by those who have experienced complexity is a simplicity of choice, equipped with the ability to manage complexity.
- ✨ Cognitive development is a spiral upward process that must go through complexity to achieve a return to simplicity
- ✨ Good abstraction requires a deep understanding of the problem domain; AI cannot replace human cognitive processes
- ✨ Avoid the 'Midwit trap' in investment by not using simple theories to evade deep thinking
- ✨ Complexity provides failure experience, complete mental models, and intuitive judgment
- ✨ Navigating complexity requires investing attention and recycling cognition to avoid false learning
📅 2026-02-03 · 1,067 words · ~5 min read