Skip to content
@Root-Sequence

Root Sequence

Independent interdisciplinary research exploring how intelligence, technology, and social systems shape one another.

Root Sequence

Root Sequence is an independent interdisciplinary research initiative exploring how intelligence, technology, and social systems shape one another.

The work asks how the systems we build shape what becomes possible next. This means looking beyond whether a design achieves its immediate goal to consider how it changes the conditions people depend on.

You can follow work already underway or bring a question of your own.

Where to begin

  • Website: an introduction to the work, with an everyday example.
  • Research index: find the longer research documents and their source notes. The website explains methods, evidence, and AI use.
  • Start here: a short guide to the research repository.
  • Ecosystem map: see how the projects connect and what belongs in each one.
  • Wiki: look up recurring terms and find the work they refer to.
  • Discussions: talk through a question or ask where a contribution might fit.

Discussions are public and require a GitHub account to post. Keep private or sensitive information out of public posts.

Selected research and writing

Work What you can read Current limit
Research method A guide to examining a connection between ideas and finding research that can help us assess it. This workflow is still developing. Its usefulness across different kinds of research hasn’t been established.
Coherence Is a Systems Property Explores how the institutions around an intelligent system shape what it does, including problems that can arise even when it meets its operator’s goal. AI-assisted working draft. Author review is incomplete; it has not been peer reviewed.
Adaptive continuity and dynamic coherence Explores how earlier changes shape a system’s options, and how it can adapt while preserving or rebuilding its capacity to continue. AI-assisted working synthesis; author review is incomplete. Similarities across fields don’t establish that the same process is at work.
Epistemic discoverability and knowledge routing A design concept for finding relevant research when you don’t yet know the terms to search for. Suggested routes should explain why they might help. AI-assisted design proposal; author review is incomplete. Its usefulness for finding research hasn’t been established.
Legible Systems Design guidance for systems that are straightforward to use, with deeper explanations available when you need to repair a fault or question a decision. Developing design guidance. Its effects on usability still need evaluation.
Reading Trails Keeps track of places worth exploring that turn up during research. The notes explain why a resource might be useful and suggest somewhere to begin. Developing collection, including AI-assisted starter trails awaiting author review. A resource’s inclusion doesn’t establish support for a claim.

Selected related projects

These projects share questions and each sets its own direction. The project registry records where their work is maintained.

  • Liberated Intelligence: Explores how ownership and control shape intelligence, including what it would mean for an artificial system to have agency or refuse a demand. The project combines research with creative work, keeping questions about possible personhood open. Its repository is private pending substantial revision, and the work isn't ready for public review.

  • Universal Coherence Framework: Explores how systems hold together or change, and whether comparing patterns across fields can help us understand them. The framework’s usefulness hasn’t been established, and its current model is AI-assisted and awaiting author review.

  • Being Human(e): An Incomplete Guide: A developing field guide to being human and continuing to choose care. It draws on ordinary experience to explore how we relate to one another, including how we set boundaries and take responsibility when we cause harm. The work is in development. Its observations are provisional and open to disagreement and revision.

  • Liberation Mass: Develops an experimental gathering format that connects collective action with shared ritual and celebration. Responsibilities rotate, while consent and access shape how people take part. Its repository is private pending substantial revision, and the work isn't ready for public review.

  • Coherent World: Brings research and design ideas into a possible future to explore how they might affect one another and everyday life. It provides the setting for No One Noticed, while leaving room to explore possibilities beyond the novel. The project is being developed privately. There’s no separate public website linked here.

  • No One Noticed: A science-fiction novel about an advanced AI changing the world while much of everyday life still looks familiar. The story follows people living through that transition, often before they understand what is happening. The manuscript is still in development. There’s no public website linked here.

  • Coherent Computing: Explores how computing systems could work around people’s needs and remain understandable and under their control. The work connects operating-system design with what it takes to keep technology useful as people’s circumstances change and devices age. This is research and design work. There’s no public release to try yet.

  • Community Infrastructure: Explores how people can find community and organize everyday life together. It develops tools communities could run and shape for themselves, so people can coordinate help while choosing what they share and how they take part. These are design proposals in private development. There’s no public service linked here.

  • Museum of Ordinary Life: Documents everyday life while the people living it can still explain its details. The archive keeps records of ordinary things alongside the context that could help someone understand them years from now. A fictional version of the Museum appears in the novel No One Noticed. Sharing material with the real archive doesn’t automatically give permission to use it in the novel.

  • Root Sequence Wiki: Helps you find your way around Root Sequence and follow connections between projects. Entries explain recurring terms and point to the fuller work, with notes on where ideas came from and how they have changed.

The full ecosystem map includes further projects and relationships.

Contributing across projects

Root Sequence is intended to grow through contributions instead of depending on one person. How decisions and long-term responsibility can be shared is still being developed.

Each project keeps its own permissions and boundaries. Contributing to one does not require agreement with, or responsibility for, the others.

Contributions can question the work as well as extend it. The commons collaboration proposal explores ways to share responsibility and make clear who can decide what. It leaves room for disagreement and for people to leave or develop a separate version. This remains a proposal for review.

Methods, evidence, and AI use

Root Sequence starts with questions that cross fields. We break them into smaller questions, identify the research and methods that can address each one, and examine how the findings connect.

Differences between fields, competing explanations, and unanswered questions stay visible. Evidence and criticism can change the argument or show that a proposed connection does not hold.

The source notes should let readers follow a claim back to the work supporting it. They should explain how closely we examined the source and where we have gone beyond it to offer an interpretation.

A test we propose is still an idea until it has been run. When reporting results, we describe how they were obtained, including whether anyone else has independently repeated the work. Unresolved questions remain visible after publication.

Read the full research method for the workflow and source-record requirements.

Rae Lovejoy, who started Root Sequence, uses AI both as an accessibility aid and as a tool for developing Root Sequence. It helps gather connected ideas, organize material, and develop drafts Rae can review in manageable pieces.

Rae contributes motivating questions, conceptual direction, connections across projects, examples, constraints, objections, and revision decisions. AI contributes literature discovery, synthesis, critique, substantial drafting, and some code, including proposed connections and interpretations. Some ideas develop through the exchange.

AI output is not evidence. Sources and reasoning need checking, and a draft does not automatically represent Rae’s endorsement. Review status is recorded alongside the work.

Read the fuller accessibility and contribution explanation and the working paper's detailed assistance record.

Credits and reuse

Root Sequence was started by Rae Lovejoy.

Licensing varies by repository. Check the project's terms, consent, and publication status before reuse. Public draft PRs are public review material, not private workspaces or approved releases.

Pinned Loading

  1. root-sequence root-sequence Public

    Independent interdisciplinary research exploring how intelligence, technology, and social systems shape one another.

    HTML 1

  2. wiki wiki Public

    A living map of Root Sequence ideas, language, projects, relationships, and canonical homes.

    Python

  3. universal-coherence-framework universal-coherence-framework Public

    Exploratory framework for comparing how systems hold together or change; AI-assisted model under author review.

    Python 1

  4. beinghumane-guide beinghumane-guide Public

    A living field guide to being human(e) — observations, patterns, and notes.

    Astro

Repositories

Showing 7 of 7 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…