This is a critical change in how we should think about AI. A model alone is like an isolated cognitive process—capable of specific computations but limited in scope. A system is more like the integrated cognitive architecture—coordinating multiple processes, maintaining goal awareness, and adjusting its behavior based on context and feedback. This... See more

So right now, LLMs (Large Language Models) are all the rage. But in the future, it’s possible that the way we get things done is composing things with a combination of LLMs, SMMs (Small, Mighty Models), agents and tools.

It’s what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).

This is how we... See more

Complex systems, like ecosystems or markets, show us that intelligence thrives in networks. AI will follow a similar path. Rather than building bigger, monolithic models, the future lies in creating modular systems. Smaller components—each specialized for a task—work together to solve problems. This modularity offers resilience. A single component... See more