GoKawiilReddit user trains Google's fruit fly brain simulation to play Balatro at 20% win rate
A Reddit user known as ActualAerie1011 says they used a custom trainer algorithm alongside Google's recently released fruit fly connectome to play the card game Balatro on its easiest settings. The setup pits the simulated brain against an algorithm that hunts for favorable game seeds, comparing outcomes and reinforcing the brain's decisions through repeated trials. The creator reports a current 20% success rate and says training is ongoing, though no code or detailed methodology has been shared publicly.
GoKawiil's interpretation of the reporting above, not reported fact.
This is part of a wave of hobbyist experiments repurposing Google's fruit fly connectome for tasks far outside biology, from stock trading to parking simulations, showing how quickly niche scientific datasets get adopted by tinkerers for playful, unverified demos. Without shared code or methodology, claims like this remain difficult to verify, highlighting a broader trend of viral AI experiments that outpace peer scrutiny.
- A Reddit user trained Google's fruit fly connectome to play Balatro using a custom reinforcement learning setup.
- The model currently wins about 20% of the time on the game's easiest difficulty and deck combination.
- No code or detailed methodology has been released, leaving some commenters skeptical of the claims.
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Published there as: “Balatro fan claims they trained Google fruit fly brain simulation to beat the game — reinforcement learning currently has the model at 20% success rate”
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