LOOM: On Human-AI Meaning-Making

These essays trace what happens when artificial intelligence becomes a partner in meaning-making.

LOOM (Locus of Observed Meanings) is a collection of essays examining what happens at the boundary between human and artificial intelligence: not as a technical question, but as a question about meaning.

What LOOM explores

The essays investigate "the moment of shift from seeing AI as a tool to experiencing it as an interlocutor." This is the philosophical foundation behind the Research Memex approach: why we treat AI as a cognitive partner rather than an automation engine.

Three philosophical threads run through the collection, each building on the one before it.

Subjectivity comes first: reality is constructed through shared meaning-making, which becomes particularly interesting once one participant is artificial. What does it mean to "understand" something together with an AI?

That question turns into collaborative interpretation once you stop asking what understanding means and start building it together: the human brings theoretical sensitivity, lived experience, and judgment; the AI brings pattern recognition, breadth, and tireless attention. Neither is sufficient alone.

And that collaboration can't be engineered from outside. This is autopoiesis: meaning emerges through interaction within self-organizing systems, not through external imposition. You can't force insight - you create the conditions for it to arise.

Why this matters for research

The Research Memex approach rests on a specific philosophical position: AI is not a calculator that speeds up manual work, but a partner that changes the nature of the work itself. LOOM articulates why.

If you're working with AI in your research and wondering:

• Why does the same prompt produce different insights with different models?
• When did I stop "using" AI and start "thinking with" it?
• What does it mean that AI can surprise me?

These essays explore that territory.

The collection

LOOM is an ongoing collection in English (with Chinese translations).

Topics span organizational futures, AI conversational dynamics, epistemic limitations, and research workflows. The essays bridge academic rigor and personal reflection.

Read the collection: threadcounts.org/t/loom (Substack - recommended for reading) · github.com/linxule/loom (source)

Connection to Research Memex

LOOM provides the philosophical "why" behind the practical "how" of Research Memex:

• Core Principles — The operational framework that LOOM's philosophy informs
• Why Engage with AI in Research — The practical case for AI partnership
• Interpretive Orchestration Plugin — LOOM's philosophy made operational as research infrastructure

@misc{docs-introduction-loom-2026,
  author = {Xule Lin},
  title = {LOOM: On Human-AI Meaning-Making},
  year = {2026},
  howpublished = {\url{https://research-memex.org/docs/introduction/loom}},
  note = {ORCID: 0000-0001-7885-4194}
}