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Results of the Open Source AI Game Jam
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Hugging Face Blog

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Results of the Open Source AI Game Jam

From July 7th to July 11th, we hosted our first Open Source AI Game Jam, an exciting event that challenged game developers to create innovative games within a tight 48-hour window using AI.

The primary objective was to create games that incorporate at least one Open Source AI Tool. Although proprietary AI tools were allowed, we encouraged participants to integrate open-source tools into their game or workflow.

The response to our initiative was beyond our expectations, with over 1300 signups and the submission of 88 amazing games.

You can try them here 👉 https://itch.io/jam/open-source-ai-game-jam/entries

The Theme: Expanding

To inspire creativity, we decided on the theme of "EXPANDING." We left it open to interpretation, allowing developers to explore and experiment with their ideas, leading to a diverse range of games.

The games were evaluated by their peers and contributors based on three key criteria: fun, creativity, and adherence to the theme.

The top 10 games were then presented to three judges (Dylan Ebert, Thomas Simonini and Omar Sanseviero), who selected the best game.

The Winner 🏆🥇

After careful deliberation, the judges crowned one outstanding game as the Winner of the Open Source AI Game Jam.

It's Snip It by ohmlet 👏👏👏.

Code: Ruben Gres AI assets: Philippe Saade Music / SFX: Matthieu Deloffre

In this AI-generated game, you visit a museum where the paintings come to life. Snip the objects in the paintings to uncover their hidden secrets.

You can play it here 👉 https://ohmlet.itch.io/snip-it

Participants Selection: Top 10 🥈🥉🏅

Out of the 88 fantastic submissions, these impressive games emerged as the Top 11 finalists.

#1: Snip It

In addition to be the winner of the Game Jam, Snip it has been selected as the top participant selection.

🤖 Open Source Model Used: Stable Diffusion to generate the assets.

🎮👉 https://ohmlet.itch.io/snip-it

#2: Yabbit Attack

In Yabbit Attack, your goal is to beat the constantly adapting neural network behind the Yabbits.

Original source

This story was published by Hugging Face Blog. SyncAI.news shows a preview; the complete article is on the publisher's site.

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