Large language models were never the final destination. They were a stepping stone.
The latest signal comes from Yann LeCun’s new venture, which raised over $1 billion to pursue “world models” — AI systems that can reason, plan, and understand the physical environment .
It’s a subtle but important shift. Instead of predicting text, these systems aim to simulate reality — building internal representations of how the world works.
If that sounds abstract, the applications are anything but: autonomous systems, advanced robotics, scientific discovery, and decision-making frameworks that go beyond pattern recognition.
Even more interesting is the ecosystem forming around it. Companies like Nabla are already positioning themselves to leverage these models, effectively becoming early adopters of a new AI layer .
The implication is that we may be entering a second phase of the AI cycle:
Phase 1: Language, content, interfaces
Phase 2: Reasoning, simulation, action
And Phase 2 is likely to be far more capital-intensive — and far more defensible.
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