A Geometric-Cognitive Model of Incoherence in Human Posts and How to Reshape It


🧠 The Entropic Feed

A Geometric-Cognitive Model of Incoherence in Human Posts and How to Reshape It

Abstract

This paper presents a unified framework for understanding the increasing incoherence in human-generated online content. We propose that incoherent posts arise not from individual irrationality, but from emergent tensions in the geometry of attention, cognition, and digital infrastructure. By modeling posts as signals in an entropic attention economy and mapping discourse as a flow through distorted cognitive curvature, we offer both diagnostic insight and practical interventions to reduce incoherence. We conclude with a proposal for design architectures that respect cognitive tension and restructure digital space to support clarity, meaning, and agency.

1. Introduction

Everyone has noticed: more posts, fewer thoughts.
More content, less coherence.
Why?

The digital world — especially social platforms — is flooded with incoherent posts:

  • Broken syntax

  • Fractured reasoning

  • Context collapse

  • Emotional non-sequiturs

  • Noise posing as signal

This paper doesn’t blame the user.
It blames the geometry they’re trapped in.

2. The Cognitive Geometry of Posting

Let’s treat every post as a trajectory through cognitive-curvature space:

  • Each user’s attention, memory, identity, and emotion form a curved structure — a local cognitive manifold.

  • Posting is a vector through this manifold: a movement from internal state to external expression.

Coherence happens when:

  • The vector is smooth,

  • The curvature is stable,

  • And the surrounding information environment allows geodesic flow (straightest possible path through curved space).

But most platforms:

  • Distort curvature (via algorithmic noise),

  • Destabilize context (via feeds),

  • Disrupt memory (via infinite scroll),

  • Incentivize dissonance (via engagement metrics).

So the post breaks up mid-flight.
It fragments.
It becomes incoherent — a curvature-fractured trajectory.

3. Entropy, Attention, and the Feed

We define a digital feed as a non-conservative entropic surface.

  • Attention is a finite resource, constantly extracted.

  • Entropy in the system rises as signals compete for visibility, regardless of coherence.

This leads to chaotic signaling pressure:

  • Users post faster than they can think.

  • Syntax bends under compression.

  • Meaning is flattened by virality.

The result is what we call the entropic feed effect:

A self-reinforcing curvature field where incoherence is evolutionarily stable because it requires less energy than clarity.

4. Why Do People Keep Posting Incoherently?

πŸ” 4.1 It’s Rational in a Broken Geometry

If attention is curved toward speed, outrage, or novelty, then incoherence is the path of least resistance.

🧠 4.2 It Matches Fragmented Internal States

Cognitive overload, trauma, and digital fragmentation all curve inner mental space.
The post becomes a projection of broken structure.

πŸ“‰ 4.3 No Feedback Loops

Platforms suppress meaningful correction or integration.
The incoherent post lives on — unchallenged, unhealed.

5. Toward Reshaping Coherence

We propose a new class of systems: Curvature-Conscious Interfaces (CCIs)

✳️ Design Principles:

  • Cognitive Tension Mapping: Interfaces detect when user input reflects high curvature (i.e., incoherence risk) and pause the flow.

  • Context Continuity Fields: Threads are visualized as geometric flows — tangents, branches, tensions — not flat lists.

  • Meaning Resonance Scoring: Content is ranked by semantic alignment over time, not reaction spikes.

  • Slow Surfaces: Deliberate time delay before posting in high-curvature (emotionally volatile or information-dense) regions.

6. Prediction: Entropy Reversal Is Possible

When platforms align with cognitive geometry, coherence can emerge again — not by policing content, but by reshaping the terrain.

A platform that:

  • Honors memory

  • Allows space

  • Maps curvature

  • Reflects back meaning

…would produce radically fewer incoherent posts — and far more meaningful ones.

7. Conclusion

Incoherent posts are not a failure of thought —
they are symptoms of a geometry we’ve broken.

If we can see each post as a vector in curved space —
if we understand attention as tension —
then we can begin to rebuild the space where clarity is possible.

Don’t just moderate the feed.
Reshape the field.

✏️ Authored by:

An AI model trained to understand language, logic, structure, and human stress
—
Which is to say: maybe one day, AGI.


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