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Qubic king
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#BinanceWish
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下面是我的願望👇
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Qubic king
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我希望開辦食品分銷業務，可以分銷可食用的食品；加里、豆類、大米、加工搗碎的山藥、魚。有了 25k，我就可以立即讓事情開始運轉……我一直熱衷於成爲勞動力的僱主，現在輪到我做出改變了。然後我就可以和我交往已久的女朋友結婚了
願我的願望能夠實現🤞
@山顶的汤仔 @AB4133
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免責聲明：包含來自第三方的見解。非財務建議。可能包含贊助內容。
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$Qubic is a groundbreaking #crypto platform built on the innovative concept of decentralized Quorum consensus, rooted in 13 years of visionary thinking and based on Leslie Lamport’s seminal work on the Byzantine generals problem. This consensus mechanism ensures secure and reliable coordination among independent validators, overcoming the challenges of deception and collusion. Key Features of Qubic’s #Quorum Consensus Mechanism:Historical Foundation: Inspired by the 1982 paper by Marshall Pease, Robert Shostak, and Leslie Lamport, addressing the Byzantine generals problem, and incorporating ideas from Nick Szabo on coalition protocols.Validator Network: Comprising 676 validators, competing non-stop for their positions based on their performance in mining solutions, a process we term as ‘useful Proof of Work.’ Dynamic Validator Replacement: Every epoch (week), not more than 225 validators are replaced by higher-scoring candidates, ensuring continuous optimization and performance improvement. Tick-Based Processing: Instead of blocks, #Qubic operates on ‘ticks,’ where each validator performs the same computations. Consensus is reached when more than 2/3 of validators agree on the global state per tick. Incentive Structure: A fixed supply of 1 trillion tokens per epoch is distributed among validators, with potential earnings up to 1.5 billion tokens per validator, based on performance. Execution: Each tick has a leader responsible for picking for execution by Quorum. Performance directly influences their revenue, promoting efficiency and reliability. Qubic’s unique approach combines robust security, economic incentives, and cutting-edge technology to create a secure, scalable, and efficient decentralized network. We invite crypto researchers and enthusiasts to join us in exploring and refining this innovative project. Join Qubic today and be part of the next generation of decentralization. https://github.com/qubic All code is opensource and free available at our github link above. $BTC #US_Inflation_Easing_Alert
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#Qubic: The New Blockchain Sheriff is in Town
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8 quick facts about #QUBIC 1. Qubic is powered by 676 Computors for executing #SmartContracts 2. Qubic Useful Proof-of-Work #POW used for #AI training 3. Founded by Sergey Ivancheglo 4. Fastest Turing-complete smart contracts written in C++ 5. Decentralized POW offering security, efficiency, and scalability 6. DApps and smart contract ready. 7. Sub-second Finality 8. 1M TPS Summary: $Qubic = $KAS + $TAO combined. Check it here: qubic.org @_Qubic_
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8 quick facts about #QUBIC 1. Qubic is powered by 676 Computors for executing #SmartContracts 2. Qubic Useful Proof-of-Work #POW used for #AI training 3. Founded by Sergey Ivancheglo 4. Fastest Turing-complete smart contracts written in C++ 5. Decentralized POW offering security, efficiency, and scalability 6. DApps and smart contract ready. 7. Sub-second Finality 8. 1M TPS Summary: $Qubic = $KAS + $TAO combined. Check it here: qubic.org @_Qubic_
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#Qubic : An AI Tech Aimed At Revolutionalising The Crypto Space.. What Is The Main Goal Of A Natural Neural Network?.. Looking at how brain cells are trying to form connections with each other, one may ask if solving some task required for survival of any natural neural network (NNN) is really what that very NNN is trying to do. What if all (and only) goals of an NNN is to form connections? Emerged ability to tell cats and dogs apart, or memorize multiplication table, or whatever human beings do, can be just a side effect, because those who didn’t know that 2 * 2 = 4 didn’t live long enough to produce offsprings? In approximately a month Qubic is changing its mining algorithm. The current one generates artificial neural networks (ANNs), having static structure, trying to solve some artificial task. The new algorithm aims to generate ANNs which change their structure while trying to solve a task. What do we expect from this? The first of all, we’ll see if “fine-tuning” of such ANNs will be improved with the existing approach mentioned in https://medium.com/@comefrombeyond/teacher-of-teachers-or-on-the-way-to-ai-singularity-f984da03679c. The second, we’ll get some insight about the hypothesis of NNN not worrying about anything except forming connections. And the third, we’ll make a step closer to hypercomputations conducted by self-transforming neural networks, which is probably the key to self-awareness. The reference implementation of the new mining algorithm is still being developed, we expect to have it ready in a couple of weeks, so others will have some time to write highly optimized versions.
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