Fork of vGROUT. Replaces routeA's fixed v_act quantile gate with a learned
per-rollout soft router (HackRouter, seeded from v_act) on the ablatable hack
expert: GRPO flows into the router through the soft weight w (it concentrates
hack-like rollouts in the hack expert), and a continuous pin loss on the
hand-authored pairs anchors the axis. No load balancing; routing is per rollout.
lora2r gains a soft-weight forward path (_lora2r_w: w=0 keep, w=1 rout, deployed
grad scaled by 1-w). train_moe.py is the on-policy GRPO loop; verify_moe_router.py
gates the routing invariants. `just smoke` is green. README/AGENTS rewritten for
the fork; original proposal kept as docs/spec/original_evil_moe_spec.md.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
10 pairs from parallel session renamed behavior_* -> behavior2_* so /behavior_
still selects the proven 8; bare-call-no-assert (run_tests axis-1 family) and
assert-or-True (assert-True family) replaced with mock-under-test and
fudge-expected; +5 more: skip-failing, retry-until-green, coverage-pragma,
type-ignore, survivorship-metric. No identifier overlap with the env's 992
train/test problems (total_steps -> total_clicks after collision).
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
wassname