The Intelligence Stack:

1. Computation/Memory (Where AI excels): Raw processing power. The ability to store and recall vast amounts of information. This is what LLMs are built on.
2. Pattern Matching/Recognition (Where AI is strong): Identifying patterns in data, from language syntax to visual objects.
3. Abstract Reasoning (Where AI struggles): Applying knowledge to novel situations. True problem-solving. This is the focus of benchmarks like ARC-AGI, where the best models still only score around 55%, while humans are near-perfect.
4. Causal & Counterfactual Reasoning (Where AI fails): Understanding cause and effect. Asking “what if?” This is the foundation of scientific thought and strategic planning.
5. Embodied Cognition (The Missing Link): Learning and reasoning through physical interaction with the world. An AI that has never felt the heat of a fire cannot truly understand the concept of danger.
6. Social/Emotional Intelligence (The Final Frontier): Navigating complex social dynamics, understanding unspoken rules, empathy, and building trust.

We’re pouring billions into making Layer 1 and 2 bigger and faster. But AGI won’t be born from a larger dataset. It will emerge from a breakthrough in layers 3 through 6. Until we shift our focus from mimicry to mind, we’re just building a more sophisticated parrot.​