Explaining the Rise of AI Generated 'Games' | AI and Games #78

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In the past year we've seen an increasing number of Generative AI projects that seek to clone or mimic real video games. What's that about? In this episode Tommy digs into what these projects are doing, why they are on one level quite interesting, but are also nowhere near as capable as the hype suggests.

Read this episode on the AI and Games website:
https://www.aiandgames.com/p/the-rise-of-the-ai-simulated-game

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You can read more of my thoughts on Muse on the AI and Games website!

Muse Explained:
https://www.aiandgames.com/p/unpacking-microsoft-researchs-muse

Reading the Research Paper:
https://www.aiandgames.com/p/researchers-digest-microsofts-muse

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The projects discussed in this video are:
Oasis (Minecraft):
https://oasis.decart.ai/

GameNGen (DOOM):
https://gamengen.github.io/

Muse (Bleeding Edge):
https://www.microsoft.com/en-us/research/blog/introducing-muse-our-first-generative-ai-model-designed-for-gameplay-ideation/

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Chapters
[00:00] Introduction
[01:13] The AI Generated 'Game'
[04:32] Learning Games v2.0
[08:39] Oasis (Minecraft)
[12:58] GameNGen (DOOM)
[16:38] Muse (Bleeding Edge & The WHAM Model)
[20:00] These Are Not Real Games
[24:22] Closing
[25:36] Credits

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