diff --git a/CHANGELOG.md b/CHANGELOG.md
index a4b5af903484e9b376b16ecef8b51d525504b860..88f755efe8b4247489cac43c2b9c981c38593b19 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,7 @@
 
 ### unreleased
 
+- Fix typo in safeguards in [ML_forecast_template.ipynb](https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge-template/-/blob/master/notebooks/ML_forecast_template.ipynb): "We did NOT use `test` explicitly in training or implicitly in incrementally adjusting parameters."" (!8, [Aaron Spring](https://renkulab.io/gitlab/aaron.spring))
 - Add notebooks showcasing accessing output of different models from different sources: (!2, [Aaron Spring](https://renkulab.io/gitlab/aaron.spring))
     - S2S-Project models:
         - from from European Weather Cloud:
diff --git a/notebooks/ML_forecast_template.ipynb b/notebooks/ML_forecast_template.ipynb
index d0c07c0e1226ce0295784de9f950d055238b31ca..e123c326555e50a2a79d7e912e5bd3436a88929d 100644
--- a/notebooks/ML_forecast_template.ipynb
+++ b/notebooks/ML_forecast_template.ipynb
@@ -75,12 +75,12 @@
     "\n",
     "If the organizers suspect overfitting, your contribution can be disqualified.\n",
     "\n",
-    "  - [ ] We didnt use 2020 observations in training (explicit overfitting and cheating)\n",
-    "  - [ ] We didnt repeatedly verify my model on 2020 observations and incrementally improved my RPSS (implicit overfitting)\n",
+    "  - [ ] We did not use 2020 observations in training (explicit overfitting and cheating)\n",
+    "  - [ ] We did not repeatedly verify my model on 2020 observations and incrementally improved my RPSS (implicit overfitting)\n",
     "  - [ ] We provide RPSS scores for the training period with script `skill_by_year`, see in section 6.3 `predict`.\n",
     "  - [ ] We tried our best to prevent [data leakage](https://en.wikipedia.org/wiki/Leakage_(machine_learning)?wprov=sfti1).\n",
     "  - [ ] We honor the `train-validate-test` [split principle](https://en.wikipedia.org/wiki/Training,_validation,_and_test_sets). This means that the hindcast data is split into `train` and `validate`, whereas `test` is withheld.\n",
-    "  - [ ] We did use `test` explicitly in training or implicitly in incrementally adjusting parameters.\n",
+    "  - [ ] We did not use `test` explicitly in training or implicitly in incrementally adjusting parameters.\n",
     "  - [ ] We considered [cross-validation](https://en.wikipedia.org/wiki/Cross-validation_(statistics))."
    ]
   },
diff --git a/notebooks/ML_train_and_predict.ipynb b/notebooks/ML_train_and_predict.ipynb
index 9c23068dbb4fcd2acd899dcdc3eb1904d7822e0b..8d9a77928589e857b92f680870daa70ff9b00c65 100644
--- a/notebooks/ML_train_and_predict.ipynb
+++ b/notebooks/ML_train_and_predict.ipynb
@@ -81,12 +81,12 @@
     "\n",
     "If the organizers suspect overfitting, your contribution can be disqualified.\n",
     "\n",
-    "  - [x] We didnt use 2020 observations in training (explicit overfitting and cheating)\n",
-    "  - [x] We didnt repeatedly verify my model on 2020 observations and incrementally improved my RPSS (implicit overfitting)\n",
+    "  - [x] We did not use 2020 observations in training (explicit overfitting and cheating)\n",
+    "  - [x] We did not repeatedly verify my model on 2020 observations and incrementally improved my RPSS (implicit overfitting)\n",
     "  - [x] We provide RPSS scores for the training period with script `print_RPS_per_year`, see in section 6.3 `predict`.\n",
     "  - [x] We tried our best to prevent [data leakage](https://en.wikipedia.org/wiki/Leakage_(machine_learning)?wprov=sfti1).\n",
     "  - [x] We honor the `train-validate-test` [split principle](https://en.wikipedia.org/wiki/Training,_validation,_and_test_sets). This means that the hindcast data is split into `train` and `validate`, whereas `test` is withheld.\n",
-    "  - [x] We did use `test` explicitly in training or implicitly in incrementally adjusting parameters.\n",
+    "  - [x] We did not use `test` explicitly in training or implicitly in incrementally adjusting parameters.\n",
     "  - [x] We considered [cross-validation](https://en.wikipedia.org/wiki/Cross-validation_(statistics))."
    ]
   },
@@ -1620,9 +1620,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:s2s-ai]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-s2s-ai-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1634,7 +1634,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.10"
+   "version": "3.8.6"
   },
   "toc-autonumbering": true
  },