Deep Dive
1. Purpose & Value Proposition
Qubic aims to build a decentralized supercomputer for artificial general intelligence (AGI). Founded by Sergey Ivancheglo (co-founder of IOTA and NXT), its core mission is to turn raw computational power into intelligence. Instead of wasting energy on arbitrary cryptographic puzzles, Qubic's network dedicates its resources to training neural networks, creating a self-improving AI system (Qubic). This useful proof-of-work model provides real-world utility, positioning Qubic as infrastructure for a future decentralized AI economy.
2. Technology & Architecture
The network is powered by 676 nodes called Computors, which execute smart contracts and transactions. Consensus is achieved through a quorum-based system, requiring agreement from at least 451 Computors for finality (Qubic Docs). This architecture enables feeless transactions and is verified as one of the fastest blockchains, capable of over 15 million transactions per second. A key innovation is splitting workloads: CPUs/GPUs train the AI, while dedicated ASICs can mine external cryptocurrencies like Dogecoin in parallel, generating external revenue.
3. Tokenomics & Governance
QUBIC has a fixed maximum supply. Its unique economics are driven by multiple burn mechanisms. A portion of tokens from smart contract fees and rewards for inefficient Computors are burned. Furthermore, revenue from external mining operations (e.g., from Dogecoin) is used to buy back and burn QUBIC tokens (Decrypt). This creates a deflationary pressure on the supply. Governance is decentralized, with the quorum of Computors voting on key parameters like fee sizes.
Conclusion
Qubic is fundamentally a decentralized machine that commoditizes compute power for AI development, secured by a consensus mechanism that creates tangible value. How will its ability to generate external revenue from mining reshape the economic sustainability of decentralized networks?