A Reddit user known as ActualAerie1011 says they used Google's simulated fruit fly connectome to play the card game Balatro, reportedly achieving a roughly 20% win rate on the easiest difficulty with the default deck. The approach reportedly paired a custom seed-finding algorithm with reinforcement-style feedback, rewarding the model for good outcomes and penalizing poor ones. No code or technical documentation has been shared publicly, leading some commenters to question the claim's validity.
androidauthority.com
· 2026-09-18
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.
tomshardware.com
· 2026-09-17
Jacopo Attolini, an AI industry worker posting as Atol8, built a bot powered by GPT-6 Astra combined with Python-based numerical tools to play Balatro. He reported the bot has repeatedly beaten the game's toughest difficulty, the Gold Stake Black Deck, and shared a YouTube video explaining its design, though he walked back an initial claim that it does so reliably.
tomshardware.com
· 2026-09-16