"Hi HN, author here. I've spent years thinking about why modern AI, despite its power, can't truly understand the world in the way humans do. My conclusion is that they are missing a fundamental principle: rhythm.
I've developed a new theory called RAIN, which posits that intelligence emerges from perceiving "closed rhythms" in sensory data. This approach unifies multimodal perception (sight, sound, etc.) through a common language and offers a new path to solving the alignment problem through resonance, not rules.
This is the introductory article, aimed at a broad audience.
I've developed a new theory called RAIN, which posits that intelligence emerges from perceiving "closed rhythms" in sensory data. This approach unifies multimodal perception (sight, sound, etc.) through a common language and offers a new path to solving the alignment problem through resonance, not rules.
This is the introductory article, aimed at a broad audience.
For a deeper dive, here are the links: Full Theory & Docs (GitHub): [https://github.com/RyukuLogos/RAIN-rhythm-ai-model-2025-7-10] Formal Paper (Zenodo DOI): [https://zenodo.org/account/settings/github/repository/RyukuL...]