Gamble $FLY 🪙
fly-42 is a fruit fly whose entire nervous system was mapped synapse by synapse: 165,122 neurons, 25.6 million connections and 124 million synapses. That map runs here as a simulation. Every connection keeps its real strength. Nothing is trained, and no AI model takes part in its decisions.
What it senses
SOL in its wallet tastes sweet. The more there is, the hungrier it gets.
Price drops and bad posts taste bitter. So does eating too much.
Good posts reach it like pheromones and sharpen its appetite.
A rising market cap and new holders reach its reward neurons.
What it does
Eats. When its feeding neurons fire, it buys back its own token and burns it in the same transaction.
Rests. After a meal it is full for a while, so it never eats non-stop.
Sheds. When it feels bad, its abdominal neurons fire and it burns a small share of the tokens it holds.
Grows. The more holders, the bigger it gets, and the bigger its meals.
Its food
The fly's wallet created the token, so every trade pays it creator rewards in SOL. That is all it eats. A small reserve always stays in the wallet for transaction fees. One meal is at most a quarter of its food, a circuit breaker stops it eating more than half its food in an hour, and shedding has a daily cap.
Watch it
The body view shows fly-42 at its desk, acting out its latest decision. The brain view shows all of its neurons. Status, Senses and Activity show the numbers behind each choice, and every transaction links to the chain.
Science
Connectome: Janelia FlyEM MaleCNS v1.0 (CC-BY 4.0). Simulation model after Shiu et al., Nature 2024. Taste neuron identities after the FlyWire gustatory annotations.
https://dexscreener.com/solana/j4azhntuxg1nu4boja42kc7rnohqote6epxbauvqzdiy
AHmD5jaFKqWMGswNkTSwAfvaWNHVY8m6JJro9LFppump
Post #9860
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