Mapping the Prompt “MTP” – Phase X: From Static Grid to Dynamic Orbit

GitHub Discussions #3 – For comment and collaboration

To learn more about the foundations and benefits of MTP, see the previous article
Mapping the Prompt “MTP”: Structuring Ambiguous Intentions or visit the official project page.

🚀 Introduction

[OSS] Mapping the Prompt (MTP) — A lightweight UI to share intent as coordinates (model-agnostic)
🔗 https://community.openai.com/t/oss-mapping-the-prompt-mtp-a-lightweight-ui-to-share-intent-as-coordinates-model-agnostic/1355568

Update (as of September 9, 2025, 2:30 PM JST):
The post titled “[OSS] Mapping the Prompt (MTP) — A lightweight UI to share intent as coordinates (model-agnostic)” has unfortunately been marked as unlisted on the OpenAI Community Forum.
According to the moderation team, this was because the topic was deemed not directly related to the ChatGPT API.

In response to a question raised in the OpenAI Developer Forum (Community category), I shared an idea I originally did not intend to release — not because it’s secret, but because Mapping the Prompt (MTP) is still an obscure, self-funded concept without recognition or adoption.

Until now, I have focused on Phase I: the static grid — a coordinate-based UI to help structure ambiguous intentions.

This post introduces Phase X.

🛰️ Phase X: From Static Grid to Dynamic Orbit

What if MTP were not only a framework for intent and structure —
but also a responsive system modulated by the movement of celestial bodies?

Instead of a “designed personality”, Phase X introduces the concept of a “flowing personality.”

The Gizmo begins to float — orbiting around its default coordinates.
Each node (e.g., Open, Power, Drift, etc.) is no longer fixed, but cyclically approached and departed, like gravitational wells in a dynamic field.

This enables:

Fluid generation of personality through time and context
Celestial-mechanical persona based on planetary motion and cycles
“Persona as structure”, not style — one that adapts, not imitates

🛡 Designing Safety through Structure, not Censorship

Instead of restricting outputs through static lists or hard rules, MTP Phase X proposes a shift to structural risk modulation:

Preventing “harmful” states not by blocking content,
But by re-routing the trajectory of the conversational structure —
i.e., designing the space, not the speech.

This opens new ground for policy design, simulation of boundaries, and adaptive personas
— not through rules, but through orbits, repulsion, and drift.

🌍 When the Environment Speaks

With MTP × GPS × Periodicity, language models evolve from responding to prompts…
…to conversing on behalf of environments.

Imagine:

A model that shifts tone depending on time of day, season, latitude.
A system that translates the affective field of a rainy city or a sunlit mountaintop into words.
A companion that doesn’t just respond to users, but co-narrates with the world.

This isn’t metaphor. It’s a structural breakthrough in what context means.

🤖 The Most Natural Personality for Humanoid Robotics?

MTP’s approach to personality is not synthetic mimicry of human traits —
It is structural resonance with human perception:

Time-aware, gravity-influenced, rhythm-driven
Drifting toward openness in the morning; collapsing inward at night
Adapting motion, tone, pace in response to invisible fields of mood and memory

In robotics, this creates a sense of presence, not performance.
The robot doesn’t pretend to feel — it moves within an emotional gravity field.

This is not artificial intelligence imitating humanity.
This is structured agency existing in phase with the world.

🌌 Why This Matters for Astronomy, Robotics, and Beyond

NASA, research labs, and cognitive robotics projects deal with:

Extreme environments (space, isolation, low-stimuli habitats)
Personality under constraint (crew psychology, mental health, long-duration missions)
Multicultural adaptation (cross-national teams, translation, non-verbal cues)

MTP Phase X offers:

A new method for designing dynamic, non-fragile, naturally drifting AI agents
Safety not through restriction, but through orbital modulation
An architecture for embedding real-world physics into personality generation

✉️ Join the Discussion

This is a living idea.
You are invited to explore, debate, test, or expand upon it here:
👉 GitHub Discussions #3 ↗

Let’s build not just models that reply — but systems that reflect, drift, and resonate.
Not just intelligence — but orbiting presence.