---
title: mini-AGI Replication
emoji: 🔬
colorFrom: blue
colorTo: gray
sdk: static
app_file: index.html
pinned: false
license: mit
short_description: Small-scale replication of mini-AGI's forgetting claims
---

# Does mini-AGI forget? A small-scale replication (revision 2)

An independent replication of the continual-learning claims in
[volotat/mini-AGI](https://github.com/volotat/mini-AGI) (commit `201852d`), by
[Jason Matthews](https://github.com/dreddnafious), September 2026.

**Revision 2.** The first version overstated forgetting: our scaled-down setup took 4× more optimizer steps per
character than upstream. At matched step density the README's headline replicates. The step-density effect, with
forgetting roughly quadratic in how far the shared trunk moves, is now a central result.

- **Read it:** the Space's App tab (`index.html`), or [`report.pdf`](report.pdf).
- **Check it:** [`code/`](code/) holds the harness, the scaled-down config, every probe's raw `probe.json`, and
  `NOTES.md` (every deviation from upstream plus the full run log, including the correction).

AI assistance: the experiments, analysis and write-up were produced with Claude Opus 5.5 (Anthropic),
directed and reviewed by Jason Matthews.