Independent research program
Reality Models
Intelligence emerges from prediction.
The world is not made of words.
Living beings understand the physical world through perception, prediction, and action. We recognize objects, understand motion, anticipate consequences, and continuously adjust β without first translating reality into language.
Todayβs physical AI systems combine simulation, digital twins, language models, and vision-language-action models to produce remarkable demonstrations. But dependable operation in the real world requires something more: continuous understanding of geometry, motion, causality, uncertainty, and time.
Movendi is developing Reality Models β AI systems designed to perceive physical environments, learn their dynamics, predict what happens next, and ultimately act upon them.
Research Notes
Toward Predictive Models of Reality
Introduces the Direct Predictive Model β a class of self-supervised models intended to learn the dynamics of physical reality directly from experience β and the hypothesis that intelligence emerges from prediction.
Read the note βFrom World Models to Reality Models
Movendi is initiating a foundational research program to define and develop Reality Models: computational systems that learn and maintain a compact, persistent, and predictive internal representation of a bounded physical environment.
Read the note β