AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

SerenAI: State-transition system inspired by text-based world AI models

arXiv · AI, language, vision and robotics · article · Sep 6, 2026 · UTC

Although professional workflows leverage large language models widely, the interpretation for auditing unconstrained free-text generation is usually intractable if such generation demands legal, operational or financial workflow. We hereby demonstrate a text based system called SerenAI - inspired by world-models, it is a state transition system that outputs verifiable predictions rather than merely text: Provided with a description of the environment, state, and actions, the generated output contains 4 items: causal deltas that causally effect the given state, a next state that can logically f

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-20T21:12:06.801Z. This is not the publication date.