Cognition & Neuroscience
The biological side of intelligence
Eight structured reads that connect what we know about brains, minds, and cognition to the AGI conversation. No jargon for its own sake.
- 01
What is intelligence?
A working definition that bridges psychology, neuroscience, and machine learning.
- 02
Brain architecture 101
Neurons, cortex, subcortex, and connectomics in plain language.
- 03
Learning and memory
How biological learning works — and what carries over to machine learning.
- 04
Attention and consciousness
Global workspace, predictive processing, IIT, and the attention schema.
- 05
Reasoning and planning
System 1, System 2, and how brains and models do (or fake) deliberate thought.
- 06
Language and thought
Chomsky vs usage-based linguistics, and what LLMs are actually models of.
- 07
Brain vs transformer
An honest comparison of biological brains and frontier neural networks.
- 08
Embodiment and grounding
Symbol grounding, embodied cognition, and why pixels are not experience.