GoKawiil
Tech News
FutureBit, maker of the Apollo ASIC miners, released HashFly, a browser-based proof of concept that simulates part of a fruit fly's neural connectome—recently mapped and shared by Google—to process simplified Bitcoin-style hashing tasks. The demo uses simulated photoreceptor and PPL101 neurons to check double-SHA-256 targets, with adjustable difficulty levels far below real Bitcoin mining complexity.
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.
Google Research and HHMI Janelia released MaleCNS v1.0, a dataset mapping over 166,000 neurons from a male fruit fly's brain and nervous system, built by converting millions of 2D images into 3D neural reconstructions. Developers quickly began using the model outside its intended scientific purpose, wiring its simulated neurons to control games like Doom and Super Mario 64, where sensory input from game frames drives neural activity that translates into player actions.
Google Research, working with HHMI Janelia Research Campus, published the first complete map of an adult male fruit fly's brain and central nervous system, called MaleCNS v1.0. The AI-assisted project stitched together millions of 2D images into a 3D model reconstructing more than 166,000 neurons. Within days, software engineers used the connectome data to train a simulated version of the fly's neural circuitry to play Doom and Super Mario 64.