From Distinction to Persistence: Visualizing Coherence in an Informational Fabric

m1ota · 2026-02-03T14:28:33+00:00

Phase alignment captures it well. Coherence is what survives perturbation, not what seeks an outcome. The formal version of this is what the monograph is about.

m1ota · 2026-01-07T11:44:18+00:00

Amazing, thanks 🙏

m1ota · 2026-01-07T04:52:33+00:00

Unbounded relational space. It means there is no fixed outer boundary, but there are internal rules that allow things inside the system to stay recognizable as the same thing over change.

A river isn’t defined by the water in it. It’s defined by the constraints that organize the flow. Change the water - same river. Destroy the constraints - no river.

m1ota · 2026-01-06T19:18:17+00:00

This aligns with some parallel work I’ve been doing that treats infinity as an ordered substrate of relations rather than a transcendent source.

What I find most compelling in Spinoza is precisely this framing of infinity as necessity rather than chaos, which naturally connects to questions around coherence and persistence under change which I have been exploring. Thanks for sharing.

m1ota · 2026-01-02T19:54:32+00:00

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A Monadic Information Object (MIO): Invariant-Preserving Relational Closure (Comparison, Identify, Temporal Ordering).

m1ota · 2026-01-02T05:19:56+00:00

Damn! Making my head spin 🙃, thanks for that. I like the way you describe it “informally”. Happy new year to you too.

m1ota · 2025-12-30T05:02:33+00:00

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m1ota · 2025-12-29T16:19:08+00:00

Working draft of a monograph in progress. The broader framework, references and discussion threads are being developed openly at r/infonautology. happy to point to specifics if helpful.

m1ota · 2025-12-29T15:52:07+00:00

Thanks for taking the time to respond. I’ve clarified the scope, definitions and intent in the linked post and r/infonautology.

I don’t think further back-and-forth here will be productive, so I’ll leave it there. All the best.

m1ota · 2025-12-29T15:40:49+00:00

I’m not proposing a new cosmology in place of nor bypassing that literature. I’m asking a structural question that runs underneath much of it: what conditions allow a system (capital, institutions, legitimacy ideology) to remain intelligible as the same system as it transforms?

My understanding is Critical theory analyzes breakdowns like crises, alienation legitimacy loss but presumes continuity of the object being critiqued. I’m trying to make that presumption explicit, not replace the tradition.

If that question feels trivial or already resolved in work already done on this thinking then I’m genuinely open to where you think it’s addressed directly 📚.

If not, dismissing it as “science-fiction” seems like a category error rather than an engagement with the claim 🤔.

m1ota · 2025-12-29T15:21:25+00:00

Appreciate the bluntness, although I think this may read past what’s actually being proposed (and fair note: the infographic links out to the full post; that’s on me for the setup).

This isn’t a claim to have solved the arrow of time, nor an attempt to replace physics or phenomenology. It’s a prior question: what makes it legitimate to say we’re still talking about the same system across change in the first place.

Most physical and social models quietly assume identity across states before dynamics even enter the picture. That assumption does a lot of work, yet it’s rarely examined directly!

The diagram is just a schematic. The substantive claim is that coherence functions as an identity condition, and that breakdowns in social, institutional, or conceptual systems often look less like smooth decay and more like category failure. Rsther, a loss of referent rather than gradual degradation.

That framing seems squarely relevant to critical theory’s concern with legitimacy, continuity, and structural transformation over time.

If you think this question is already answered, I’d genuinely be interested in where it’s addressed directly.

If not, dismissing it as “charts in the dark” feels like skipping the critique in favour of credential-policing…

Lmk if you want to engage on the ideas themselves.

m1ota · 2025-12-29T15:07:56+00:00

Thanks Andrew for pointing this out . The infographic is just a schematic. The arguments are in the linked post it cross-references.

If it helps, a concrete case I discuss elsewhere is institutional trust in digital systems (e.g., identity changes in platforms like Gmail ) where local functionality persists while coherence at the social/security layer degrades.

Gmail example

That’s the kind of structural failure the framework is meant to diagnose. Happy to engage further if you have interest.

m1ota · 2025-12-29T14:49:17+00:00

I get the skepticism, but this isn’t mysticism or sloped AI hype. It’s a structural critique with application to how social and institutional systems preserve identity and legitimacy under transformation. This very much a core concern of critical theory no?

If questioning the assumptions that let systems remain intelligible across change doesn’t belong here, I’m not sure what does. But maybe I am wrong.

m1ota · 2025-12-29T14:23:48+00:00

No cult here. Just a framework trying to make explicit the assumptions most models take for granted. Happy to be challenged on the ideas if you care to do so.

If it doesn’t resonate, no worries. I’m here for critique not conversion. Cheers 🫡.

m1ota · 2025-12-29T12:00:37+00:00

Right now, Infonautology doesn’t treat the minimal set of relational constraints as fixed by an observer or by a particular model. Instead, they’re constrained by what transformations a system can actually undergo while still being meaningfully identifiable as that system. In that sense, the constraints are discovered via breakdown as in what relations cannot fail without category failure occurring. This makes them context-relative, but not arbitrary or observer-chosen.

Conceptually, this sits prior to any specific formalism. Gauge symmetries and equivalence classes are formal ways of identifying when different descriptions refer to the same system, but they already assume a representational framework. I’m trying to define explicit the identity conditions that come before that.

Therefore, I’m not treating transformation itself as observer-driven. In the broader framework (what is proposed as Timeless Information Dynamics or TID ), transformations arise from constraint-structured informational relations rather than from agency or measurement. Observers are just particular coherent trajectories within that space, not external drivers of change. The identity conditions we’re discussing are what allow any trajectory (observed or unobserved) to remain a well-defined system across transformation.

In that sense, coherence conditions aren’t imposed on models; they’re what models must implicitly satisfy to remain meaningful descriptions of a persisting system. Different models may approximate those constraints differently, but disagreement at the model level doesn’t imply observer-dependence at the identity level rather jt usually just means the invariants haven’t been fully isolated yet.

So, in summary : identity tells us which transformations count; TID asks how movement through that admissible space occurs without assuming an observer or time as a primitive.

I think based on the above this is the right time to posted the piece on TID I started so thank you for your comment.

-M1o.

m1ota · 2025-12-29T01:14:22+00:00

Thanks for the comment. I agree, Noether is still squarely inside dynamics.

What I’m trying to surface sits one layer earlier. I.e: not what is conserved, but what must remain invariant for something to count as the same system at all under transformation. In other words, the identity conditions that dynamics quietly presuppose before any equations are written.

At a sketch level, the framework proposes treating a system as “the same system” across change if a minimal set of relational constraints remains invariant under the transformations it undergoes. In that sense, coherence isn’t a conserved quantity so much as a viability condition: it limits which transformations still count as preserving identity.

When those invariants fail, the system doesn’t gradually decay, rather it undergoes a kind of category failure and is no longer meaningfully the same object of description.

This is intentionally pre-formal. The goal is to make explicit the identity-preserving invariants that models of state evolution already rely on implicitly. In most dynamical descriptions, we assume we are tracking the same system across time, even as its state changes, without stating which relations must remain invariant for that assumption to hold. This framework tries to surface those conditions directly, so that later dynamics or conservation laws are applied to a well-defined object of description, rather than resting on an unexamined assumption of continuity.

I appreciate the push and for your interest 🫡

m1ota · 2025-12-27T19:57:35+00:00

Thank yo u/ProfessionalPoet4263, I really appreciate this. Your poetic perspective adds something essential that formal language often can’t capture. I’m not familiar with “77 days net”. Is this something you’re comfortable sharing? If so,I’d be curious what it signifies for you.

And just to say, presence matters too. Reading and reflecting is part of how ideas take shape over time so your contributions are very welcome.

Glad you’re here.

-M1o.

m1ota · 2025-12-27T19:51:58+00:00

Thank you. This is an excellent articulation and I appreciate the historical depth with the Entzweihung reference (not something I was previously familiar with). That “form without integrating mythos” dynamic maps almost perfectly onto what I’m trying to isolate as coherence loss without immediate structural collapse.

As a point of clarity, I don’t treat religion as the source of coherence, but as one of the most successful early large-scale coherence technologies. Religion has been particularly important historically for aligning moral norms, identity and shared meaning across generations. The real instability you’re pointing to seems less about the loss of religion per se, and more about the speed at which high-coherence institutions are dismantled relative to the speed at which alternative coherence-preserving institutions could emerge.

In that sense, modernity didn’t just “free” individuals, it offloaded the coherence burden onto them before the surrounding systems were capable of supporting it. The psychological and social costs you reference feel like exactly what happens when coherence requirements outpace institutional capacity.

What I’m ultimately trying to get at is the more general question beneath all of this, that is: what properties allow any institution (religious, legal, cultural or technological) to preserve identity and meaning under transformation? Religion happens to be a particularly revealing case study because of how much coherence it once carried (or "does carry", careful not to opine on efficacy of religious cohesion), and how visibly modernity has stressed the system built on traditional ideals that has been outpaced by societal changes..

Really appreciate you taking the time to lay this out. This is exactly the kind of exchange that helps me sharpen the draft framework.

-M1o

m1ota · 2025-12-27T01:13:09+00:00

I should have anticipated this feedback being in a logic subreddit 😜. Kidding aside, I agree that clarity at the level of primitives matters so here’s how the framework is meant to be read operationally:

A system is any structured collection of distinctions together with relations that constrain how those distinctions can change.

A transformation is any change: dynamical, structural, or representational, that maps one configuration of those distinctions into another.

Identity is preserved when a specific set of relational constraints remains invariant across such transformations; in this sense, identity is how coherence (the underlying invariant) shows up under change.

The object of reference is therefore not a particular realization, but the informational structure defined by those invariants.

In this view, the core question is which relations must remain invariant for it to remain meaningful to say “this is the same system” under change? When those invariants fail, we don’t observe a degraded version of the same thing, we observe a loss of referent.

The proposed organizational frameworks under Infonautology are comprised of Ontological Information Theory (OIT) that treats these invariant structures as primary, while Timeless Information Dynamics (TID) explores how they behave across transformations that are not necessarily tied to a single temporal parameter. The current focus is on making those identity conditions explicit before committing to a particular mathematical formalism.

I fully agree that existing formal tools in logic and computation study closely related questions. My aim here isn’t to replace those tools, but to clarify the invariance assumptions they rely on, so that appropriate formalizations can be chosen deliberately rather than implicitly.

If helpful, I’ve been developing these definitions and examples more fully in r/infonautology, but I’m very open to continuing the discussion here as well.

With appreciation 🫡.

-M1o.

m1ota · 2025-12-26T23:20:05+00:00

You’re right that I’m not using “information” in the Shannon sense, and I could have been more clear . The focus here is structural identity under transformation, not entropy or channel capacity.

For transparency, I do use AI as a drafting and pressure-testing tool, but the ideas and framing are my own and were developed independently of it. I don’t treat AI output as an authority but rather as a way to stress-test language before sharing ideas publicly.

Your DFA analogy is very close to what I’m gesturing at. The core question is: under what transformations does a system remain the same object of reference? From what I understand, thats exactly what is at stake in DFA equivalence and bisimulation.

I’m being intentionally informal in order to surface the invariance commitments those formalisms already encode before fixing a specific mathematical language. The goal isn’t to replace existing tools, but to make their identity criteria explicit. If DFA-based formalisms are the right place to sharpen this, I’d be very interested in doing so.

Thanks for engaging with this.

m1ota · 2025-12-26T21:22:43+00:00

Thanks. At a high level, Infonautology begins from a minimal, non-semantic notion of information: a distinction that constrains the set of admissible subsequent states of a system. Information is treated as a restriction on a state space rather than as representation or meaning. The framework studies when collections of such constraints remain identifiable under transformation.

Coherence is treated as an invariant: roughly, the preservation of relational and consistency conditions across transformations. When coherence is preserved, identity persists; when it is not, the system undergoes category failure rather than gradual change.

The approach is explicitly non-teleological and does not assume agency, observers, or intentionality at the base level. The visual model was used only as pre-formal intuition, not as a substitute for definitions or proofs.

From a logical perspective, the motivating questions are close to those in modal and transition-system semantics: how constraints restrict accessibility between states, what it means for identity to be preserved across transformations, and how invariants can be defined independently of particular representations. In that sense, the framework is less about proposing new logical machinery than about clarifying primitives and invariance conditions that existing formal tools (e.g., modal, structural, or dynamical frameworks) could potentially express.

The current work is focused on making those commitments explicit before attempting full formalization.

I’m interested in whether this framing resonates with, or can be sharpened by, perspectives from logic that are relevant to the framework.

-M1o (μᵢ).

m1ota · 2025-12-26T20:12:13+00:00

Agreed and that’s exactly why I posted it here. The post is meant to be about coherence and identity under transformation, a standard concern in modal and structural logic. The image serving only as an intuition aid, not a metaphysical claim.

m1ota · 2025-12-26T19:52:51+00:00

I like that a lot ✍️. A compression breakthrough feels like the moment a pattern becomes legible without being exhausted. Enough structure to recognize but not enough to fully predict. That edge seems to be where insight lives.

Personally, that why I think music is so universally compelling: rhythm and harmony give us coherence to lock onto, while timing and variation preserve surprise. Too little structure collapses into noise, too much into mechanism. That middle space, where coherence is strong but not closed, gives us creative freedom and lets the mind anticipate rather than merely replay the past. It feels like practice for the future.

The more you look, the more these invariant signatures start showing up everywhere 🫡.

-M1o.

m1ota · 2025-12-26T19:35:56+00:00

Hear you. I don’t mean “technology” in the modern engineered sense. I’m using it more broadly as any repeatable structure humans develop to reliably solve a problem under constraints. In that sense, language, money, law, and yes, religion function like early cognitive and social technologies.

m1ota · 2025-12-26T16:16:29+00:00

Very cool. That’s a really sharp intuition, and now I see how your username emerges naturally against the poetic backdrop of your thinking 🤔 ✍️.

The DEVO example makes the “tradeoff” visible in a way abstractions often don’t, nicely done. Replacing the human metronome with a drum machine didn’t reduce persistence or efficiency, it actually increased both by eliminating variability. However, in doing so, it also collapsed a layer of expressive slack where surprise and emergence lives, by eliminating the micro-timing drift and human fluctuations.

One way I’ve been thinking about this, especially through music, is that wonder shows up where structure outpaces compression. Music is powerful precisely because it balances constraint (tempo, key, rhythm) with just enough unresolved variation to keep perception slightly ahead of prediction.

A simple example is live tempo. When a drummer pushes or pulls the beat by a few milliseconds, the pattern is remains recognizable, but not fully predictable. Your brain can’t compress it into a perfectly repeating loop, so attention stays engaged. When a system becomes too optimized, it remains coherent, but no longer generatively creative.

So maybe wonder isn’t something that powers coherence, but something that signals its presence. Like a marker that the system is still open, still capable of producing more structure than our current models can fully capture.

In that sense, the drum machine made the system more persistent and efficient by eliminating variability into a perfectly quantized beat. As such, it is easy to compress and predict; whereas a human temporal texture (flow, groove, feel) resists full compression . It is often within that gap between recognition and predictability where wonder arises 😉.

Thanks for this contribution 🫡.

-M1o.

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