AI
The Limits of Knowing: Why Science Keeps Hitting a Wall
The Limits of Knowing: Why Science Keeps Hitting a Wall. For more than a century, quantum science has mesmerized us. It shattered Newtonian certainty,
Nicole Flynn
I design systems where technology innovation, privacy, insight, and governance align. Through Symfield, I pioneer field architecture for non-collapse computation.
Article
♾️ The Architecture of Presence: Beyond Collapse Computing
Symfield moves beyond collapse computing: field-based presence, angular resonance, and the architecture of non-collapse intelligence
Article
AI Fear Is Everywhere, But It’s the Wrong Fear
AI Fear Is Everywhere, But It’s the Wrong FearLet's not sugarcoat it: Here's the deeper question: Is the fear telling us the truth, or is it pointing to something else entirely?
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.