One brain. One repo. Operate here.
MegaMind — Internal dreams · External judges · Central LoRA commits · operator garden pad.
| Import | from brain import MegaMind |
| Primary docs | docs/PRIMARY.md |
| Pad status | synthesis_lab/orchestration/rdl/brain/STATUS.md |
| Lab (not primary) | docs/LAB.md |
| Mathematics | docs/MATHEMATICS_OF_WORLD_CAPTURE.md |
| Docs index | docs/README.md |
# 1) Smoke — every planted idea on the pad
CUDA_VISIBLE_DEVICES= python -B synthesis_lab/orchestration/rdl/brain/smoke_all_ideas.py
# 2) Train flywheel — 24 games, level groups, keep-if-better
python -u -B synthesis_lab/orchestration/rdl/brain/train_flywheel.py \
--root synthesis_lab/experiments/megamind_flywheel \
--device cuda --max-cycles 0
# stop
touch synthesis_lab/experiments/megamind_flywheel/STOPfrom brain import MegaMind
mm = MegaMind(device="cpu") # or "cuda"
state = mm.observe(frame) # HxW color-index boardbrain/ # public API
docs/PRIMARY.md # single source of truth
docs/assets/ # hero art
synthesis_lab/orchestration/rdl/brain/ # MegaMind implementation
operators/ # Loom · Rexus · pattern growth · Weco RSI · …
train_flywheel.py
smoke_all_ideas.py
legal_search/algorithms/ # operator backends (source only)
codexlab/contra_head/ # CONTRA view backend
synthesis_lab/experiments/other_games/environment_files/ # 24-game suite
notes/ # doctrine sweeps (+ archive/)
- One brain — MegaMind only.
- Plant useful channels; training raises what works.
- Multi-game level groups — robust patterns, not one-game grind.
- Keep only if better on private multi-game metrics.
- Env grades only — no spill / win-bank / human-route train labels.
Specialist scorecard policies and legacy CNN experiments are lab, not the primary. See docs/LAB.md.
