FutureBit Released Biological Bitcoin Mining Concept
The HashFly project attempts to utilize a simulated fruit fly brain to perform SHA-256 hash calculations.
Updated on Sept. 20, 2026 in Quantum Computing
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FutureBit has launched a proof of concept titled HashFly, which uses a simulated fruit fly connectome to mine Bitcoin. The project aims to explore the computational efficiency of organic systems by leveraging neuronal firing patterns.
Why it matters
This research provides a novel proof of concept to gain insight into the potential efficiency of organic computing. By modeling biological structures for hashing, the team hopes to determine if organic neurons could eventually surpass the capabilities of traditional silicon hardware.
The HashFly demo currently visualizes 2,914 firing neurons, a fraction of the 165,122 total neurons in the MaleCNS v1.0 connectome. FutureBit projects that full organic integration could theoretically achieve an efficiency of 1 watt per terahash.
The players
FutureBit
FutureBit is a technology firm focused on developing hardware and experimental platforms for Bitcoin mining.
The details
The HashFly system processes block headers using simulated photoreceptors that trigger neuronal activity. Specific PPL101 neurons light up when the simulation successfully computes a double-SHA-256 target.
Timeline
FutureBit released the HashFly proof of concept in September 2026.
The Tech Race
This project represents a radical departure from traditional silicon-based computing by attempting to harness organic neural pathways for cryptographic work. It seeks to challenge the dominance of specialized hardware like the Apollo III ASIC miner by reaching an efficiency of 1 watt per terahash.
The project is currently a web-based proof of concept and does not provide immediate hardware improvements or new mining capabilities for individual users. Readers can access the HashFly demo online to observe how the simulated neuronal firing correlates with the SHA-256 hashing process.
The takeaway
While the HashFly project is in its experimental infancy, it demonstrates a growing interest in biological computing models that could one day redefine power consumption in crypto mining. Future results from the full connectome simulation will determine if organic systems can bridge the efficiency gap.
Further reading
Explore more about the future of high-performance computing in our Quantum Computing section.
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Will biological computing prove more efficient than silicon-based chips in the next decade?
