Can someone explain a bit more on the long term applicability, or maybe other use cases that might be easier to appreciate?
The reason why I ask is that it seems very challenging to generate the training data for such systems. Could someone explain how this can go further than to just replicating X? So, if assuming some creative freedom, could you give an idea of what the long term application of this would be?
NB: please take my questions at face value without thinking I'm implying this isn't cool for what it is. I'm all for people having fun. I'm all for projects not needing to tackle some grander issue.
That is an interesting thought. I don't fully understand how though. The main challenge is the training data. If you need to first create the interactive experience... What would the added value be?
For example is creating novel combination based on (large) training set. If the network had enough weights on what is realistic looking could create novel game experiences based on a prompt of say a film or book.
The reason why I ask is that it seems very challenging to generate the training data for such systems. Could someone explain how this can go further than to just replicating X? So, if assuming some creative freedom, could you give an idea of what the long term application of this would be?
NB: please take my questions at face value without thinking I'm implying this isn't cool for what it is. I'm all for people having fun. I'm all for projects not needing to tackle some grander issue.