Can a search invent a better optimizer? (run 2, 8 training instances)

MISS experiment

With 8 training instances per family the search again failed on held-out families (0, 0 and 1 of 4). The hypothesis that more training instances shrink the train/held-out gap was not supported: it shrank on 2 seeds and grew on 1.

Key numbers

held-out families beaten per seed (need 3 of 4)

0/4, 0/4, 1/4
Source file: rule-search-lab/runs/2026-10-13-run2/RESULTS.json
Source hash: a6340037f38c893c

Caveats

  • Template mutator, not a model

Watch the roundup

What we tested, and what we learned (90 s)

Video hash: 3de55bc330bba5f8

Request the full write-up

Full write-ups are not public yet. You can request one; requests are reviewed by hand.

Requests are stored privately for up to twelve months, reviewed by hand, never shared, and deleted on request. Contact QMAI@quantummindaillc.com.