AI Method Boosts Mining Profit by 30%: QBT Promises a Revolution

Quantum Blockchain Technologies (QBT) claims its newly introduced Method C AI Oracle can enhance crypto mining efficiency by up to 30%. Published data reveal a machine-learning algorithm that filters out “unpromising” hashes, reducing chip power usage. Early trials used an FPGA chip, though developers believe the effect on ASIC architecture will be even greater.!

Reports indicate that more than 10k blocks were tested during the lab phase, with the overall number of rejected attempts rising to 47%. Company experts are convinced that full-scale integration with major pool operators in 2025 will validate these announced figures.

Not everyone in the industry shares the same enthusiasm. Critics highlight the challenge of adapting the algorithm to ASIC hardware and the extra costs required. Nonetheless, QBT continues advancing its AI-driven system, emphasizing its potential to become a breakthrough in future computational power solutions.