The philosophical, technical, and operational basis behind ONONO. A living archive for the ideas we are actively building from.
One article to begin with — a closer look at the systems, concepts and decisions shaping ONONO.
A recent survey on continual learning points to a fundamental shift in AI architecture: capability no longer needs to evolve exclusively inside model parameters. We believe this has implications far beyond continual learning.
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The principles beneath the Engine — from knowledge structure to iterative understanding and action.
Ideas, explorations and company perspectives, ordered by publication date.
What journalistic research reveals about the missing structure between information, understanding and the future.
Why do AI agents fail at complex tasks? Memory isn't enough. Learn how ONONO's Mind Ontology enables AI to reflect, adapt, and truly understand user intent.
ONONO is grounded in research on LLM limitations, institutional memory, neuro-symbolic AI, explainability, continuous learning and the limits of agentic workflows.
True intelligence can be defined by the capacity to comprehend the world and leverage that comprehension for prediction. We operate on the premise that the essence of the world is computation. However, while elemental natural phen...