FutureBit Released Organic Mining Proof of Concept
The HashFly project demonstrates a neural simulation approach to hashing, mapping fruit fly brain activity to SHA-256.
Updated on Sept. 20, 2026 in Quantum Computing
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Will biological computing prove more efficient than silicon-based chips in the next decade?
FutureBit has released the HashFly proof of concept, a web-based project that simulates neurons from a fruit fly connectome to perform SHA-256 hashing. The current demo utilizes a portion of the MaleCNS v1.0 connectome to model Bitcoin mining processes.
Why it matters
This research project serves as an exploratory proof of concept to evaluate the potential efficiency of organic computing architectures. FutureBit aims to determine if simulating neural structures could eventually offer an alternative to traditional silicon-based ASIC mining hardware.
The HashFly web demo tracks 2,914 firing neurons out of 165,122 total neurons in the MaleCNS v1.0 fruit fly connectome. While current performance is limited to 100 kH/s, the firm projects organic neuron mining could theoretically reach an efficiency of 1 watt per terahash.
The players
FutureBit
A developer of specialized mining hardware known for the Apollo series of ASIC miners.
The details
The HashFly system operates by using simulated photoreceptors to ingest Bitcoin block headers. When the simulated neural network computes a successful double-SHA-256 hash target, specific PPL101 neurons within the fruit fly brain model fire. This architecture aims to mimic biological information processing to perform the cryptographic calculations required for blockchain mining.
Timeline
September 17, 2026: FutureBit released the HashFly proof of concept.
The Tech Race
This project marks a radical departure from the traditional silicon-based efficiency gains seen in hardware like the Apollo III ASIC miner. FutureBit is pivoting from iterative semiconductor scaling to investigate whether biological neural architectures can eventually outperform current ASIC throughput.
This project is currently limited to a web-based demonstration and does not impact existing mining operations or hardware requirements. Users can interact with the current simulation online to observe neural firing patterns during the hashing process.
The takeaway
FutureBit is positioning its research toward a long-term goal of achieving 1 watt per terahash efficiency through biological simulation. Observers should monitor the company's planned publication of findings from the full-scale MaleCNS v1.0 connectome simulation for future performance metrics.
Further reading
For broader trends in unconventional computing architectures, see Quantum Computing.
Live Poll
Will biological computing prove more efficient than silicon-based chips in the next decade?
