diff --git a/selfdrive/car/gm/interface.py b/selfdrive/car/gm/interface.py
index 3220a2e1eb..f76e98cc37 100755
--- a/selfdrive/car/gm/interface.py
+++ b/selfdrive/car/gm/interface.py
@@ -1,6 +1,5 @@
 #!/usr/bin/env python3
 import os
-from typing import cast
 from math import fabs, exp
 from panda import Panda
 
@@ -57,7 +56,7 @@ class CarInterface(CarInterfaceBase):
     # An important thing to consider is that the slope at 0 should be > 0 (ideally >1)
     # This has big effect on the stability about 0 (noise when going straight)
     # ToDo: To generalize to other GMs, explore tanh function as the nonlinear
-    non_linear_torque_params = NON_LINEAR_TORQUE_PARAMS.get(cast(CAR, self.CP.carFingerprint))
+    non_linear_torque_params = NON_LINEAR_TORQUE_PARAMS.get(self.CP.carFingerprint)  # type: ignore[call-overload]
     assert non_linear_torque_params, "The params are not defined"
     a, b, c, _ = non_linear_torque_params
     steer_torque = (sig(latcontrol_inputs.lateral_acceleration * a) * b) + (latcontrol_inputs.lateral_acceleration * c)
diff --git a/selfdrive/car/honda/carstate.py b/selfdrive/car/honda/carstate.py
index 3710a1cfec..7558562d00 100644
--- a/selfdrive/car/honda/carstate.py
+++ b/selfdrive/car/honda/carstate.py
@@ -1,5 +1,4 @@
 from collections import defaultdict
-from typing import cast
 
 from opendbc.can.can_define import CANDefine
 from opendbc.can.parser import CANParser
@@ -198,7 +197,7 @@ class CarState(CarStateBase):
 
     ret.steeringTorque = cp.vl["STEER_STATUS"]["STEER_TORQUE_SENSOR"]
     ret.steeringTorqueEps = cp.vl["STEER_MOTOR_TORQUE"]["MOTOR_TORQUE"]
-    ret.steeringPressed = abs(ret.steeringTorque) > STEER_THRESHOLD.get(cast(CAR, self.CP.carFingerprint), 1200)
+    ret.steeringPressed = abs(ret.steeringTorque) > STEER_THRESHOLD.get(self.CP.carFingerprint, 1200)  # type: ignore[call-overload]
 
     if self.CP.carFingerprint in HONDA_BOSCH:
       # The PCM always manages its own cruise control state, but doesn't publish it