AI - Symfield (Page 2)

News

🚀 Introducing Symfield: A Framework for Non-Collapse Symbolic Fields, Whitepaper

I’m excited to share Directional Reasoning Systems: A Framework for Non-Collapse Symbolic Fields — the foundational paper outlining Symfield’s vision. Symfield challenges the most basic assumption in computation: that meaningful outcomes require collapse into discrete states. Instead, it explores how meaning can emerge from continuous, pre-collapse dynamics — relational flows,

Article

Beyond Output: Why Resonance, Not Speed, Will Shape the Future of AI

In an age of acceleration, this piece reframes AI progress not around computational throughput, but symbolic resonance. It introduces the ∫∧ equation

Article

What AI Still Can't Read: A Symbolic System That Doesn't Want to Be Understood

AI is evolving faster than ever. But what if the next breakthrough isn’t about what it understands, but what it can feel? Artificial intelligence is evolving rapidly, parsing language, generating content, predicting human responses with startling accuracy, but also in what it still can’t do.