AI-generated fan fiction for a popular novel series has become a hot topic. A recent chatbot experiment, however, has taken it to a new level – using AI to predict fan preferences in casting decisions.
A group of researchers has been training a large language model (LLM) on a dataset of online fan discussions and reviews. The goal was to see if the AI could accurately predict which actors fans would like to see in a hypothetical new season of the popular novel-turned-TV-series, **Dungeon Crawler Carl**. The results are both fascinating and a little disconcerting.
The researchers used a simple prompt: “Who should play the next cast member in **Dungeon Crawler Carl**?” They then fed the AI a series of popular actor names and asked it to pick the one most likely to be chosen by fans. The surprising result? The AI chose an actor that fans had already been discussing online for weeks – **Michael B. Jordan**.
While this experiment is largely for entertainment purposes, it does highlight the potential of AI in understanding and predicting fan behavior. As AI-generated content becomes more prevalent, it’s not hard to imagine a future where AI is used to predict casting decisions, or even create entire scripts based on fan feedback. While the idea might seem unsettling to some, it could also be a major opportunity for creators to tap into the collective enthusiasm of their fanbase.
As for **Dungeon Crawler Carl**, fans are still eagerly anticipating the release of the TV series. And it seems they might not have to wait too much longer, with production reportedly set to begin later this year. Whether Michael B. Jordan will ultimately be cast as the next big player in the series remains to be seen, but one thing’s for sure: fans are already talking.
