Revolutionizing AI: Modular Intelligence vs. Large Language Models

A $1B AI startup is being built on a belief most people in AI don’t even know exists.
And it completely challenges how we’re building AI today.

Yann LeCun (Meta’s former AI chief) just left to build AMI Labs.

But he doesn’t believe today’s AI architecture (LLMs) is the final form of intelligence.

And instead of building a bigger model...
He’s building something more structured.

Most AI systems today work like this:
One large model → trained on everything → predicts the best response.

But increasingly expensive and hard to control at scale.
AMI Labs is trying a different approach.

Not “one brain.”
But a system of coordinated parts.

Think of it like this:

1. World Model - Understands the environment (domain-specific context)

2. Actor - Decides what action to take

3. Critic - Evaluates whether that action is correct or risky

4. Perception Layer - Processes inputs like text, audio, video depending on context

5. Short term Memory - Maintains state across interactions

6. Configurator - Orchestrates how all of them interact

So instead of one model doing everything, it becomes specialized systems working together under structure.

And this changes everything.

Because LLMs are trained as generalists where there is one model for all tasks, scaled by size and improved with more data

But modular AI assumes something different:

- Intelligence is not one system
- Intelligence is coordination between systems

That shift has real implications.

📌 LLM approach → scale through compute
📌 Modular approach → scale through structure

📌 LLM approach → expensive reasoning loops
📌 Modular approach → controlled, cheaper execution

📌 LLM approach → general answers
📌 Modular approach → domain-accurate decisions

And if this approach works, AI products may stop being:
“chat with one model”

and start becoming:
“systems of specialized intelligence working together”

Which means builders will need to think less about prompting models and more about designing systems of decision making components

This is still early.

But it’s a strong signal that AI may not converge into one giant model...
but into many smaller, coordinated ones.

And that changes how we build everything on top of it.

#AI innovation #modular AI #future of AI #AI architecture #AI systems