Thoughts on Gemini being able to crank out playable “demos”?
There's an enormous gulf between a prototype/demo and a shippable product. Even in the development process, the prototypes and tech demos are there years before the finished product can ever hit shelves. The Gemini Genie demos are no different. In the Genie demos, players are incredibly limited by the verbs they can perform and the verbs are what drive gameplay. Players can walk around, but they cannot fight, dodge, climb, shoot, crouch, equip gear, level up, pick up items, talk to NPCs, or any of a thousand other things players expect when playing a game. They're the equivalent of an internet rando cobbling a model and a few animations into Unreal Engine and having it run around in that default grassy field and posting it while other twitter people yell "NINTENDO HIRE THIS MAN" because they lack the context to understand what game development actually takes.
I wrote a while back about how [Keywords Studios attempted to build a game with generative AI back in 2023]. They were unsuccessful with building a full game, but the [GDC '24 talk they gave] was very interesting. The main takeaways from then were that the AIs were unable to fix their own bugs well enough and that the human touch is still necessary to go from the prototyping phase to the shippable production-quality phase. In 2024, [they tried to use generative AI to remaster an older game instead] and gave a talk at GDC '25 about it. The results were similar - the AI repeatedly failed to produce shippable quality assets, but was saved significant time at doing prototype and concept work early on.
This is basically where AI is right now - it struggles to make new things, but is very good at remixing a bunch of existing things into a prototype phase. Then, the actual humans have to do the real work of taking the prototype and improving it to production-quality. To me, this feels an awful lot like things are backwards. AI is supposed to do all the busy and tedious work like reducing the poly count and optimizing performance so that I can do the creative and interesting work, not the other way around. As such, we're not actively using AI in the development process in any real regard outside of making executive demo slide decks and as a search engine for our documentation.
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