# Liquid AI **Entity class:** Company **Domain:** Artificial intelligence / Dynamical systems **Maturity:** Developed ## Definition Liquid AI develops neural architectures influenced by continuous-time and dynamical-system approaches associated with liquid neural networks. ## Mechanism and significance The broadcast places the company in a lineage from compact biological nervous systems to efficient artificial models, a relationship that should be treated as inspiration and engineering translation rather than literal productization of an entire worm brain. ## 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:** [[Biological Learning Algorithm]] · [[C. elegans Whole-Brain Simulation]] · [[Distributed Biological Memory]] · [[Regenerated-Brain Memory Persistence]] ## 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. - [Liquid AI](https://www.liquid.ai/) — primary organizational or project source. ## 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.