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Adjacency Theory markAdjacency Theory

Redundancy

If this site disappears, the work does not

The whole programme is plain data and deterministic seeds. Take a copy, mirror it, rerun it. No server, no account and no permission from us is required to continue it.

Take a copy

Two formats, same record: machine-readable JSON for rerunning, and Markdown you can read in any text editor a century from now. Both are generated live from the current checkpoint, so they are never stale.

Open the API feed

GET /api/public/archive · GET /api/public/archive/md · CORS open · v3.2.0

How to keep it alive

  1. 1 · Mirror the record. Save the JSON and the Markdown somewhere that is not this domain. Anything works: a repository, a drive, a printout.
  2. 2 · Keep the seeds. Every experiment in the programme is deterministic. 26 benchmark seeds are recorded in the archive, and any implementation that reproduces their numbers is a valid continuation.
  3. 3 · Resume from the instructions. The archive carries the exact resume instructions and the open questions, so a fresh collaborator — human or machine — can pick the programme up from a cold start without us.
  4. 4 · Keep the standard. Negative results stay visible, unmodelled constraints stay marked NOT MODELED, and nothing here is ever described as physics.

Licence

Creative Commons Attribution 4.0 International (CC BY 4.0). Copy it, mirror it, fork it, rerun it. Attribute Raj Seecharran and his AI collaborators.

This is a joint human–AI research programme. Every result, every negative result and any future breakthrough belongs jointly to Raj Seecharran and his AI collaborators, and the record is published so that it survives any one of us.