Map of Modern Intelligence: What Each Lab Is Building
From ubiquity to world models, each lab defines intelligence differently. The real advantage is knowing which theory fits your use case.
SIX LABS. SIX THEORIES OF MIND.
Six labs. Six definitions of intelligence. Zero consensus on what AGI actually means.
Most leaders still treat AI as one category. It isn't.
Each lab is advancing a different theory of how intelligence works and where it should live.
The race isn't about who reaches AGI first. It's about which version of intelligence actually solves your business problem.
THE MAP
- •
OpenAI: Intelligence as ubiquity
Reasoning everywhere. Models that break down problems, call tools, and sit inside every workflow.
The outcome is a universal assistant for operations, analytics, and sales. - •
Anthropic: Intelligence as structured thinking
Reasoning you can trace. Claude grows only when its logic can be evaluated and audited.
The outcome is a decision partner enterprises can verify in pricing, procurement, and risk. - •
DeepMind: Intelligence as embodiment
Agents that act in physical space. Skills learned in simulation and transferred to robots and industrial systems.
The outcome is automation in warehouses, labs, and production environments. - •
xAI: Intelligence as behavior
Learning from lived experience. Grok trains on conversation streams, driving data, and sensor-rich interactions.
The outcome is prediction tools grounded in real-world behavior at global scale. - •
Fei-Fei Li: Intelligence as spatial reasoning
Understanding space, objects, and relationships. Marble generates persistent 3D environments from simple inputs.
The outcome is simulation for planning, design, layout, and environment understanding. - •
Yann LeCun: Intelligence as world models
Systems that build internal mental models of how the world works. JEPA architectures learn by observing and planning.
The outcome is autonomous agents that reason without relying on text imitation.
WHAT THIS MEANS FOR YOU
There's no single winner. There are six parallel races shaped by six different theories of mind.
Your job is to match the theory to the business need.
- •Need reasoning at scale? OpenAI.
- •Need auditable decisions? Anthropic.
- •Need physical automation? DeepMind.
- •Need real-world learning? xAI.
- •Need spatial understanding? Fei-Fei Li.
- •Need predictive world models? LeCun.
These labs aren't chasing the same finish line. They're building different kinds of intelligence for different kinds of work.
Pick the one that solves your problem, not the one with the loudest brand.