Beyond the Single Model#
Early AI research treated knowledge representation as a database problem—how to store facts and retrieve them. Modern AI has updated this to a vector space problem. But both approaches assume that cognition happens entirely inside the model.
In reality, cognition is not isolated. It operates within a broader cognitive ecology consisting of people, tools, institutions, environments, and consequences.
The Components of a Cognitive Ecology#
A robust cognitive ecology recognizes that:
- Models need tools: Systems require external compilers, search engines, and calculators to verify claims.
- Humans provide orientation: Humans supply the values, context, and review that models lack.
- Context is environmental: The structure of the workspace determines how information flows and how errors are caught.
Structuring the Ecology#
Rather than trying to build a single model that knows everything, we should focus on designing the relationships among models, human review, and environmental constraints. When we treat cognition as an ecology, we can build more resilient, transparent, and trustworthy systems.