Seth
c947fc3fa9
Self-play (training/scripts/self_play.py): - Model generates edge-case prompts across 9 categories - Attempts commands via RCON, self-corrects on errors - Successful traces → standard training examples - Error correction traces → multi-turn tool-calling examples - Anti-collapse: focuses on categories model is weakest in - Ready for v4 deployment, not yet active Qwen3.5-9B base model bake-off (147/1542 cases): - 70.1% OK (vs 34% Qwen3-8B base) — 2x improvement - 29.9% MISS (mostly God/prayer — no persona training) - 15.6% needed syntax fixes - Avg 7.5s response (thinking tokens) - Strong v4 candidate: better base + tool-calling architecture Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>