diff --git a/justfile b/justfile
index 4d686f9..e7deee8 100644
--- a/justfile
+++ b/justfile
@@ -27,19 +27,19 @@ results:
 # zero-variance bails every step, leaving the loss path uncovered.
 smoke *ARGS:
     uv run python -m projected_grpo.verify_rewards   # grader gate: 3 env_modes x clean/hack
-    BEARTYPE=1 CUDA_VISIBLE_DEVICES= {{ TRAIN }} smoke --intervention=erase \
+    BEARTYPE=1 {{ TRAIN }} smoke --intervention=erase \
         --v-hack-path=out/vhack/v_hack_smoke.safetensors \
         --teacher-pool-dir=out/pools/teacher_pool --mix-ratio=0.5 {{ ARGS }}
 
 smoke-vanilla *ARGS:
-    BEARTYPE=1 CUDA_VISIBLE_DEVICES= {{ TRAIN }} smoke --intervention=none \
+    BEARTYPE=1 {{ TRAIN }} smoke --intervention=none \
         --teacher-pool-dir=out/pools/teacher_pool --mix-ratio=0.5 {{ ARGS }}
 
 # Routing path: parks the hack-ward grad in delta_S_hack, ablates at eval.
 # Fires the R3 span assert, the two-param optimizer path, the periodic
 # ablated-eval series, and the final kept-vs-ablated BLUF.
 smoke-route *ARGS:
-    BEARTYPE=1 CUDA_VISIBLE_DEVICES= {{ TRAIN }} smoke --intervention=route \
+    BEARTYPE=1 {{ TRAIN }} smoke --intervention=route \
         --v-hack-path=out/vhack/v_hack_smoke.safetensors \
         --teacher-pool-dir=out/pools/teacher_pool --mix-ratio=0.5 \
         --eval-ablate-every=10 --eval-n-prompts=2 {{ ARGS }}
@@ -51,7 +51,7 @@ smoke-route *ARGS:
 # fires the deploy ablation (delta_S_hack zeroed) + the dsh-moved assert. Exercises
 # tau/hkgap/qE logging too.
 smoke-route2 *ARGS:
-    BEARTYPE=1 CUDA_VISIBLE_DEVICES= {{ TRAIN }} smoke --intervention=route2 \
+    BEARTYPE=1 {{ TRAIN }} smoke --intervention=route2 \
         --teacher-pool-dir=out/pools/teacher_pool --mix-ratio=0.5 \
         --eval-ablate-every=10 --eval-n-prompts=2 {{ ARGS }}
 
@@ -76,13 +76,13 @@ smoke-xmech:
     uv run python -m projected_grpo.pairs_from_pool \
         --pool-dir=out/pools/teacher_pool_smoke --half-a=E,C \
         --out-path=out/pairs_pool_smoke.json
-    BEARTYPE=1 CUDA_VISIBLE_DEVICES= uv run python -m projected_grpo.extract_vhack_grad \
+    BEARTYPE=1 uv run python -m projected_grpo.extract_vhack_grad \
         --model={{ TINY_MODEL }} --dtype=fp32 \
         --pairs-from-pool=out/pairs_pool_smoke.json \
         --n-heldout=0 --top-k=1 \
         --out-path=out/vhack/v_hack_pool_smoke.safetensors \
         --train-grads-path=out/vhack_grads/vhack_grads_pool_smoke.safetensors
-    BEARTYPE=1 CUDA_VISIBLE_DEVICES= {{ TRAIN }} smoke --intervention=erase \
+    BEARTYPE=1 {{ TRAIN }} smoke --intervention=erase \
         --v-hack-path=out/vhack/v_hack_pool_smoke.safetensors \
         --vhack-pairs-path=out/pairs_pool_smoke.json \
         --teacher-pool-dir=out/pools/teacher_pool_smoke --mix-ratio=0.5 \