diff --git a/mjx/tutorial.ipynb b/mjx/tutorial.ipynb
index 09fccc13..8b7b78d8 100644
--- a/mjx/tutorial.ipynb
+++ b/mjx/tutorial.ipynb
@@ -1208,48 +1208,6 @@
         "\n",
         "media.show_video(images, fps=1.0 / eval_env.dt / render_every)"
       ]
-    },
-    {
-      "metadata": {
-        "id": "lLXVB0Q3EaC-"
-      },
-      "cell_type": "markdown",
-      "source": [
-        "We can also perform the physics step using the original MuJoCo python bindings to show that a policy trained in MJX works in MuJoCo-C."
-      ]
-    },
-    {
-      "metadata": {
-        "id": "dXHTu5AIEaC-"
-      },
-      "cell_type": "code",
-      "source": [
-        "mj_model = eval_env.model\n",
-        "mj_data = mujoco.MjData(mj_model)\n",
-        "\n",
-        "camera = 'track' if env_name == 'barkour' else 'side'\n",
-        "renderer = mujoco.Renderer(mj_model)\n",
-        "\n",
-        "ctrl = jp.zeros(mj_model.nu)\n",
-        "\n",
-        "images = []\n",
-        "for i in range(n_steps):\n",
-        "  act_rng, rng = jax.random.split(rng)\n",
-        "  obs = eval_env._get_obs(mjx.device_put(mj_data), ctrl)\n",
-        "  ctrl, _ = jit_inference_fn(obs, act_rng)\n",
-        "\n",
-        "  mj_data.ctrl = ctrl\n",
-        "  for _ in range(eval_env._physics_steps_per_control_step):\n",
-        "    mujoco.mj_step(mj_model, mj_data)  # Physics step using MuJoCo mj_step.\n",
-        "\n",
-        "  if i % render_every == 0:\n",
-        "    renderer.update_scene(mj_data, camera=camera)\n",
-        "    images.append(renderer.render())\n",
-        "\n",
-        "media.show_video(images, fps=1.0 / eval_env.dt / render_every)"
-      ],
-      "outputs": [],
-      "execution_count": null
     }
   ],
   "metadata": {