In terms of the code, I don't think it would be hard to create an Angry Bird clone of this quality using a GPT-4 scale model that had somehow had all knowledge of Angry Birds excluded from it.
Some of them make no mention of Angry Birds - "Wooden box. Large skeleton bone. Item assets sprites. White background. In-game sprites" - but others do: "Item assets sprites. Wooden planks. White background. In-game sprites. Similar to Angry Birds style"
My hunch is that a skilled image prompter could still get to results that were right for this particular demo even with a model that had not seen Angry Birds assets before.
Most of the Angry Birds mechanics in this demo come from the underlying Matter 2D library. Relevant demo here: https://brm.io/matter-js/demo/#slingshot
Honestly, that's most of the code part accounted for.
The bigger question is the graphical assets. The developer shared their prompts for those here: https://twitter.com/javilopen/status/1719363587351740711
Some of them make no mention of Angry Birds - "Wooden box. Large skeleton bone. Item assets sprites. White background. In-game sprites" - but others do: "Item assets sprites. Wooden planks. White background. In-game sprites. Similar to Angry Birds style"
My hunch is that a skilled image prompter could still get to results that were right for this particular demo even with a model that had not seen Angry Birds assets before.