README.md

metadata

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 (commit 201852d), by Jason Matthews, 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.
• Check it: 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.