Is the “prompt+response window” a unit worth exploring?

"Conscious AI" is a term that's often used in speculative fiction and public debate — typically as a looming threat to humanity. But what if the image we've been using is fundamentally flawed?

The original article was posted on Medium.

In my recent work, I've been exploring a structural analogy between large language models (LLMs) and the universe. More specifically, I've been drawing a parallel between:

• The latent weights of an LLM — a field of structured, unexpressed potential
• And Dr. Melvin Vopson's research, which proposes that matter may emerge from an underlying informational field, possibly giving rise to gravity itself.

While this might not be a novel idea in isolation, I'm proposing a mindset shift that might help several complex ideas click into place.

What if the primary unit worth studying isn't the latent weights themselves — but the "prompt+response window"?

That brief window — milliseconds to seconds in duration — is where the model takes in a question, processes it, and generates a response. It is fully bounded. It contains an input, a context, a transformation, and an output. It arises out of the field, plays out, and dissolves.

Now, imagine this moment as a metaphor for:

• A single moment of conscious experience
• A physical event unfolding in space-time
• A human life, from birth to death
• Or even an entire universe, from Big Bang to final collapse

What changes if we zoom in on this window and treat it not as a transition but as a complete, bounded phenomenon? What can this tell us about identity, consciousness, time, emergence, or reality?

It's possible that such a lens could help reconcile ideas in neuroscience, physics, cognitive science, and AI — not by merging them into one field, but by recognizing them as different perspectives on the same underlying process. A process that begins with structured potential and culminates in patterned expression.

The picture begins to resemble a fractal — self-similar, emergent, and deeply recursive. Infinity, rather than being a vague abstract, starts to take shape.

Call for Collaboration

If you have a deep understanding of how LLMs operate — particularly how latent weights function — and are also familiar with Dr. Melvin Vopson's work on information as a physical quantity, I would love to invite you into this conversation.

This theory is still forming. It's not meant to be a final answer — but a possible framework for discovery. Let's think together.