Add additional concluding slide to first lecture

README.md

@@ -4,10 +4,29 @@
 
 ## Quick-start
 
-* `git clone` the repository and `cd` into the root directory.
-* For the exercise Jupyter notebooks
-  * create a virtual environment (recommended)  e.g. with [venv](https://docs.python.org/3/library/venv.html), [conda](https://docs.conda.io/en/latest/) or other.
-  * install python dependencies with `pip install -r requirements.txt` in a virtual environment. Note: the [fake-data-for-learning package](https://github.com/munichpavel/fake-data-for-learning) has some non-python dependencies; see its [installation instructions](https://github.com/munichpavel/fake-data-for-learning/blob/main/README.md#installation).
+
+### Obtaining the repository
+
+Either
+
+`git clone` the repository
+
+OR
+
+download a zipped-version of this repo from GitHub
+
+then `cd` into the created folder
+
+### Running the workshop notebooks in [noteebooks](notebooks/)
+
+#### Option 1, local installation
+
+* create a virtual environment (recommended)  e.g. with [venv](https://docs.python.org/3/library/venv.html), [conda](https://docs.conda.io/en/latest/) or other.
+* install python dependencies with `pip install -r requirements.txt` in a virtual environment. Note: the [fake-data-for-learning package](https://github.com/munichpavel/fake-data-for-learning) has some non-python dependencies; see its [installation instructions](https://github.com/munichpavel/fake-data-for-learning/blob/main/README.md#installation).
+
+#### Option 2, Google Colab
+
+Coming soon.
 
 ## Workshop topics
 
@@ -81,6 +100,8 @@ Note: I do not follow [Semantic Versioning](https://semver.org/) for this projec
 
 ### Latest
 
+* Add concluding slide to introductory presentation
+* Remove older version of causal model exercises notebook
 * Git ignore common virtual environment folders
 
 ### v2024.1.1

slides/intro/ai-risk-and-discrete-geometry.tex

@@ -95,7 +95,7 @@
     \huge Artificial Intelligence Does Not Exist
   \end{center}
 
-\vspace{0.5\textheight}
+\vspace{0.3\textheight}
 or so I claimed in the Spring, 2022 Workshop \ldots
 \end{frame}
 
@@ -245,6 +245,29 @@
 
 \end{frame}
 
+\begin{frame}{AI: Where is the crisis?}
+  \framesubtitle{Concluding thoughts and questions}
+  {\large Potential risks}
+  \begin{itemize}
+    \item Loss of jobs, actual and prospective
+    \item Climate impact: Do \href{https://english.elpais.com/technology/2024-04-30/why-data-centers-want-to-have-their-own-nuclear-reactors.html}{AI data centers need their own power plants}?
+    \item The \href{https://www.hhs.gov/about/news/2023/05/03/new-surgeon-general-advisory-raises-alarm-about-devastating-impact-epidemic-loneliness-isolation-united-states.html}{crisis of loneliness}
+  \end{itemize}
+
+  {\large Potential returns}
+  \begin{itemize}
+    \item New jobs and companies, e.g. GenAI Risk Manager
+    \item New solutions to problems
+  \end{itemize}
+
+  {\large Risk management principles}
+  \begin{itemize}
+    \item Manage information asymmetry, e.g. \href{https://en.wikipedia.org/wiki/The_Market\_for\_Lemons}{"Market for Lemons"} phenomenon
+    \item Watch out for confusing metaphors with reality
+  \end{itemize}
+
+\end{frame}
+
 
 \begin{frame}
 \frametitle{Workshop topics}
@@ -262,10 +285,8 @@
 \begin{itemize}
 \item For each topic, lecture + tutorial
 \item Emphasis on examples with data produced via python package \href{https://munichpavel.github.io/fake-data-for-learning/}{fake-data-for-learning}
-\item Light on non-mathematical definitions, thanks to
+\item Favor examples over definitions and proofs
 \end{itemize}
-\centering
-\includegraphics[width=0.3\textheight]{graphics/pi_wittgenstein}
 \end{frame}
 
 \begin{frame}[allowframebreaks]