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BTC Fruit fly inspired AI intervenes in Bitcoin transactions
Coinbase software engineer Alex Wormuth launched a digital experiment inspired by the fruit fly neural network. The project, called "Stonkfly", used $100 in Bitcoin as an initial trading test and achieved a $1 profit on the first day. This result demonstrates the unique application of neurobiology in financial transactions.
Experimental operation mechanism
This system converts market data from the Coinbase platform BTC/USDC trading pairs into RGB visual representations. These visual inputs are then mapped into thousands of simulated sensory inputs, corresponding to the fruit fly's neurovisual system. Trading decisions are made based on this neural activity model, which uses biological strategies to assess market trends without involving real insects.
Stimulation and response mechanisms
Faced with profit and loss scenarios,"Stonkfly" responds by activating dopamine neurons: 15 PAM11 neurons are activated during profit and two PPL101 neurons are activated during loss to simulate avoidance responses. The design is designed to mimic a neurofeedback system used to respond to market changes. However, a $1 profit earned on the first day cannot be regarded as evidence of effective learning-it is more likely due to random contingency and market fluctuations.
Recently, the field of neuroscience has begun to focus on projects such as "Stonkfly". There was a previous announcement revealing a complete neural map of the fruit fly brain. The Google research team and multiple institutions used artificial intelligence to map the connections of 166,700 neurons, capturing the connectivity of the brain and nervous system of male fruit flies. However, such simulations have limitations and fail to fully replicate neurotransmitter processes and other complex biological mechanisms.
Early innovations based on the same male central nervous system (MaleCNS) model include integrating it into games such as Doom, Beat Saber, Super Mario 64, Minecraft, and Pong. Wormuth's combination of this neurobiological simulation with financial transactions marks the model's latest cutting-edge exploration outside of the gaming arena.
- Stonkfly's goal: Transform market data into neural inputs that can be replicated by fruit fly brain structures.
- Preliminary results: shows small profits, indicating potential, but also highlights the randomness of early detection.
- Precedent references: Projects like DOOMFLY demonstrate attempts to combine neurobiology with interactive platforms.
The Stonkfly experiment expands the horizons of neural network applications, but its journey to build a reliable advantage in Bitcoin transactions is still in its early stages. As the interesting intersection of biology and economics continues to deepen, it will be interesting to observe whether such systems can mature into consistent prediction tools for market behavior, or whether they simply remain in innovative explorations lacking substantial advantages.
