Google PaLM 2 and AI will change gaming, for better or worse googlepalm2 ai tech opinion
Being able to run from a local device, even in an offline state, Gecko is going to be capable of near-instantaneously generating dialogue and in-game pathways for games ranging from mobile devices, gaming handhelds, and PCs, without having to refer to a distant server somewhere across the world. For reference, if a game wanted to make use of AI generated content, it would need to connect to a distant language model and wait for a response.
Of course, the quality of content generated by Gecko will be limited. Content generated offline on an Android device won’t compare to content parsed through thousands of graphics cards, but it will lay solid foundation for local AI generation.For iterative Gacha games and dungeon crawlers – thisbe fantastic. Imagine endlessly generated maps, characters, enemies, and weapons, alongside matching dialogue that accurately compliments it.
If AI generated gaming really takes off – we’d imagine a solid time period of mediocre, un-convincing releases featuring soulless, derivative content. Google Bard, for example, had a critically poor launch, after consistentlywhile also contradicting itself as much as possible. AI generated games will see equally difficult launches. AI models need iterative training, and while PaLM 2 is promising, there’s still a sense that we haven’t reached the point where it’s ready to go.
While games might certainly benefit from the ease of generative item descriptions and NPC dialogue here and there, the eventual merging of all content creation hailing from a single, digital identity is inevitable – and the frighteningly small scale of Google’s PaLM 2 could push us closer to this.Cover image generated with Dall-E 2, then edited-in-house.
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