Why Your Brain Can’t Model the Whole World
What if the way you think is limiting how smart you can be? This matters to everyone.
What if the core question isn’t how to model everything, but how to relate to the parts of the world you can’t directly model or control? The article explores two perspectives. The third-person view places you outside the world, acting like a good Bayesian with clear hypotheses and actions. But it runs into problems: other agents model you back, modeling yourself can create contradictions, and you’re too small to model most of reality. Taking those problems seriously leads to the first-person view, where the world is mainly a stream of sensory data and you work with partial, overlapping concepts—like a baby, or even a single cell. A cell inside a friendly body can afford to be more open; a free-floating bacterium has to be more cautious. In the end, we’re all closer to a cell’s-eye perspective than a god’s-eye one.
- Your brain can’t perfectly predict the world, so it uses two flawed approaches: acting like an outside observer or adapting like a cell.
- Game theory and probability models fail when reality involves unpredictable reactions from others or the environment.
- A ‘first-person’ mindset (like cells use) is more adaptive but less precise, which could explain why humans struggle with uncertainty.
Why It Matters
This could change how we make decisions, teach AI, or even understand human intelligence—if we can balance control and adaptability.