Driven by key insights from statistical physics and cognitive science, in particular by Karl Friston’s active inference framework, the approach pioneered at Noumenal Labs unlocks the capability of machines to represent the physical world in the same way we do, enabling them to act safely and in alignment with human values — and thereby, to deliver on the promise of Physical AI.

Inspired by neural reuse and reassembly, we consider key design features that unlock the ability for AI to reason by analogy and by metaphor

We discuss approaches to AI alignment, and in particular, the crucial role of theory of mind, the ability to take the perspective of another

Here we discuss key gaps in SOTA applications of active inference in AI - and how Noumenal Labs is working to fill them.