Jose MoralesJust published: Beyond the Token — a deep dive into why the next breakthrough in AI won’t come from ever-bigger LLMs, but from systems that build structured, persistent world models instead of just predicting the next token. Been exploring a concept I call Energy Based Graph Memory (EBGM) with a Manifold Orchestrator — an architecture aimed at reducing hallucinations, enabling traceable reasoning, and rethinking how AI “thinks.”
Read it here: https://medium.com/@jemo07/beyond-the-token-a9e997c7143d
techsimplified@jemo07 Fascinating approach! The structured memory vs token prediction distinction is crucial. Voice interfaces particularly benefit from this - when someone says "reply to my email from yesterday about the meeting", the system needs structured understanding of relationships, not just pattern matching. Your EBGM concept could solve the "what did I mean?" problem that makes voice AI feel brittle.