sbtc and BTC at a ratio of one-to-one. This is only possible by making changes to Bitcoin Cores scripting language and adding an Account Abstract Layer. We can focus on other core features, and dedicate resources to improve the sustainability of our project. Qtum, for more technical information. BC: Whats the ultimate goal of the Qtum Foundation? We wanted to avoid a situation where virtual transactions result in two block explorers showing different results for one transaction, as some would be virtually untraceable. The Bitcoin blockchain is not only the originator but the most battle-tested on the planet.
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Reinventing the wheel, when a flexible solution already exists, seems like an industry regression. The next update from iExec will be coming this month. Explains Bendella: Once V2 is made compatible with RSK as a next milestone, RSK applications and their smart contracts will be able to access the same decentralized cloud that Ethereum dapps make use. PD: There are so many reasons to implement a staking consensus model, and we considered this carefully when designing the Qtum architecture. The proof-of-stake consensus model makes a strong case for adoption in the Proof-of-Stake whitepaper. Also, Qtum aims to establish a smart contract hub, offering secure and thoroughly tested contract templates, tailor fit for a multitude of industries, such as supply chain management, telecommunications, IoT, social networking, and more. Qtum brings the best of both worlds together, since we can easily implement any Bitcoin Improvement Proposals (BIPs) to Qtum and Ethereum dapps can also be ported to Qtum. PD: Qtum received backing from Roger Ver, the first investor in blockchain startups. What do you think about the Qtum project? Patrick Dai (PD The Qtum Project combines Bitcoin Core.13, the Ethereum Virtual Machine to execute smart contracts and Proof-of-Stake as the consensus mechanism. Its all speculation at this point, but well know for sure on 10 December when the first contracts start to emerge. Industry users dont spend an excessive amount of time learning how proof-of-work systems operate.