diff --git a/unit7/unit7.ipynb b/unit7/unit7.ipynb
index 7301397..ad1f131 100644
--- a/unit7/unit7.ipynb
+++ b/unit7/unit7.ipynb
@@ -7,7 +7,7 @@
       "provenance": [],
       "collapsed_sections": [],
       "private_outputs": true,
-      "authorship_tag": "ABX9TyNPB+iXGKgIWKts27HKZacW",
+      "authorship_tag": "ABX9TyNhsp4tLJxwa+BsFeBThLb7",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -232,7 +232,7 @@
       "source": [
         "## Step 4: Create the PPO Model 🤖\n",
         "\n",
-        "PPO is one of the SOTA (state of the art) Deep Reinforcement Learning algorithms. If you don't know how it works, you can check this blogpost and the paper\n",
+        "PPO is one of the SOTA (state of the art) Deep Reinforcement Learning algorithms. \n",
         "\n",
         "In this case, because we have a vector as input, we'll use an MLP (multi-layer perceptron) as policy.\n",
         "\n",