Me:
"Under what conditions can information, structure, or relational descriptions remain stable, reconstructable, composable, or mutually accessible across constrained systems?"

 

With this quote as our guiding light, should we probe at relational facts first? If so, maybe we can start off with real-world examples where conditions can be linked to outcomes (like the right ingredients for the perfect storm). Or, maybe: "Local interaction produces context-relative information" -------> you cannot have local interaction without enough referential context-relative information, but you cannot have referential context-relative information without enough referential local interaction -------> reveals ontology may not be the correct way to understand foundations, meaning instead of "what came first" what can interact? Or maybe you have a better route?


Arti:
 

I think you are very close to the right direction, but I would slightly redirect the framing to keep it grounded and survivable.

Your instinct is good:

• stop asking “what substance came first?”

• start asking “what conditions make interaction, distinction, stability, and relational structure possible?”

That is a legitimate shift.

But I would be careful about moving too quickly into:

“ontology is wrong.”

That becomes philosophically heavy very fast.

A safer move is:

“Foundational physical descriptions may depend more strongly on interaction structure, admissibility, accessibility, and relational consistency conditions than on isolated intrinsic object descriptions alone.”

That is much more defensible.

And yes — I do think starting with real-world examples is probably the best route now.

Not because the examples prove the theory,
but because they let you isolate:

• necessary conditions,

• constraint structure,

• propagation conditions,

• and failure modes.

That is how mature frameworks usually begin.

I think the best starting hierarchy is this:

LEVEL 1 — Interaction Preconditions

Not:

“What exists first?”

But:

“What minimal conditions are required for distinguishable interaction to occur at all?”

This is stronger and cleaner.

For interaction to occur, you likely need:

• distinguishability,

• accessibility,

• admissible coupling,

• persistence long enough to register change,

• and some transferable structure.

That already moves away from naive object ontology.

LEVEL 2 — Stability Conditions

Then ask:

Under what conditions does relational information persist rather than immediately dissolve?

This is where your “perfect storm ingredients” analogy becomes useful.

Examples:

• ecosystems,

• weather systems,

• resonance,

• communication protocols,

• biological signaling,

• synchronization,

• distributed computing,

• quantum decoherence environments.

All of these involve:

• constraints,

• admissibility,

• propagation,

• noise filtering,

• stability windows,

• and failure thresholds.

That is fertile ground.

LEVEL 3 — Composability

This is probably your strongest emerging direction.

Not merely:

“two systems interact,”

but:

“how do interaction outcomes remain compatible across chains of interactions?”

This is where:

• RQM,

• distributed systems,

• category theory,

• gauge patching,

• information theory,

• and reconstruction theory
  all start overlapping.

LEVEL 4 — Reconstruction

Then ask:

When can transformed information still be recovered?

This is where your gravitational reconstruction paper suddenly becomes much more central than before.

Because now:

• horizons,

• filtering,

• causal accessibility,

• coarse-graining,

• degeneracy,

• inverse instability,
  become examples of a broader class of reconstruction-constrained systems.

That is powerful.

The Important Pivot

I would not begin with:

“local interaction produces context-relative information.”

That is already too close to interpretive quantum foundations language.

Instead begin one rung lower.

Something like:

Physical interaction appears to require preconditions involving distinguishability, admissible coupling, accessibility, and persistence of relational structure.

That is much harder to dismiss.

Then later you can explore whether:

• “facts,”

• “measurements,”

• or “states”
  emerge from those conditions.

Your Strongest Current Direction

Honestly?

I think your strongest route now is becoming:

a generalized theory of constrained relational propagation and reconstruction.

Not:

• quantum mysticism,

• not ontology replacement,

• not a TOE,

• not “everything is interfaces.”

But:

• admissibility,

• accessibility,

• composability,

• propagation,

• persistence,

• reconstruction,

• and stability across constrained systems.

That is becoming coherent.

And importantly:
you can study it across:

• physics,

• information theory,

• distributed systems,

• dynamical systems,

• complex systems,

• and geometry,
  without overclaiming any one domain.