# Text-Free Neural Model **Entity class:** Machine-learning concept **Domain:** Artificial intelligence / Cognitive modeling **Maturity:** Developed ## Definition A text-free neural model is trained without language tokens as its primary representational substrate, relying instead on images, actions, sensory streams, or other structured signals. ## Mechanism and significance Such systems provide a way to ask which aspects of reasoning arise from language and which can emerge from nonverbal world regularities. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Neural Decoding and Cognitive Systems|Neural Decoding and Cognitive Systems]] - **Primary fields:** [[Neural Decoding]] · [[Brain-Computer Interfaces]] · [[Functional Magnetic Resonance Imaging]] - **Adjacent concepts:** [[Thought-Perception Distinction]] · [[Thought Cloud Cognition]] · [[Image-Native Cognition]] · [[Biological Learning Algorithm]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.