just synchronizing the abilities of the models. There may be some
additional complexification of quizzes that get accepted by chance.
+\item It can be parallelized by dispatching the GPTs across multiples
+ nodes, and avoiding a quadratic cost by limiting the validation of
+ the quizzes to a subset of them.
+
\item The current process to generate new quizzes, which simply
samples them at random is very rudimentary and probably not
sufficient in a real-data setup. It can probably be supplemented
with a MCTS-type search.
\item There may be already in the generated quizzes some structure
- that \textemph{we} do not pick up (e.g. certain color or motion
+ that \emph{we} do not pick up (e.g. certain color or motion
patterns).
\end{itemize}