利用质押的力量确保人工智能任务验证中的信任和公平

币界网Published on 2024-08-12Last updated on 2024-08-12

币界网报道:

自从几年前OpenAI推出LLM以来,人工智能(AI)一词已经进入主流说法,这已经不是什么秘密了。事实上,该行业将继续以深不可测的速度增长,四大咨询巨头麦肯锡公司的一份报告显示,人们对人工智能技术领域(如生成人工智能)的兴趣增长了惊人的6300%。

这一爆炸性增长得到了涌入这一领域的投资激增的进一步支持,研究人员指出,从2019年的40亿美元急剧跃升至去年的360亿美元。不仅人工智能相关的职位在2022年至2023年间也增长了111%,令人印象深刻。

自2019年以来,人们对人工智能技术的兴趣日益浓厚来源麦肯锡

因此,随着人工智能继续渗透到我们日常生活的各个方面——从医疗保健和金融到教育和娱乐——对值得信赖、公正和安全的去中心化人工智能系统的需求越来越大。

在这方面,NeurochainAI是一个因其去中心化人工智能即服务(DAIAS)框架而迅速获得关注的项目,该框架旨在帮助重组世界各地企业(任何规模)和社区与人工智能系统互动的方式。

NeurochainAI创新方法的核心是一种独特的共识机制,该机制结合了工作量证明(PoW)和权益证明(PoS),恰如其分地命名为权益证明(PoWtS)。

这种混合模型在确保平台去中心化基础设施内AI任务验证的信任和公平性方面发挥着至关重要的作用。

作为去中心化人工智能创新的基石

从外部看,NeurochainAI的基础设施利用了两个主要层的力量:第一层(L1)NCN链和第三层(L3)NCN AI。

更详细地说,L1 NCN链是该项目的基础,帮助管理和存储L3上发生的活动的开采和焚烧硬币的验证信息。另一方面,L3 NCN AI包含了该项目所有与AI相关的功能,包括其去中心化的GPU网络、AI模型市场和AI dApp商店。

然而,当NeurochainAI的两个节点,即L1神经元验证器节点和L3 AI挖掘节点相互交互时,神奇的事情就会发生。

神经元验证器节点充当精简验证器,确认和批处理在L3上完成的工作,以便在L1上执行事务,而AI挖掘节点在L3上执行实际的AI计算。

此外,正是在这些交互过程中,上述PoWtS机制发挥了作用。当AI挖掘节点接收到任务时,它会处理消息并计算响应——类似于在常规PoW区块链上的加密计算。

此计算充当NCN AI L3上的PoW,必须由神经元验证器节点通过NCN链L1上的PoS进行验证。

AI挖掘节点因在去中心化物理基础设施网络(DePIN)上执行的AI计算而获得奖励,而神经元验证器节点则因挖掘新硬币以验证这些响应并过滤出不良行为者而获得奖励。

确保完整性

从外部看,NeurochainAI的PoWtS机制可以防止恶意活动,并确保将奖励准确地分配给值得的参与者。通过要求神经元验证节点质押代币,该系统为他们诚实行事创造了经济激励。

任何试图验证错误计算或与恶意AI挖掘节点勾结的行为都会使参与者的利益面临风险。这种新颖的设计还以多种方式最大限度地提高了任务验证的可靠性和准确性。

首先,拥有重大利益的验证者更有可能以网络的最佳利益行事,以保护他们的投资,确保高度的安全性。同样,PoWtS模块确保根据实际执行和验证的工作公平分配奖励。

最后,通过让社区参与其本地验证过程,NeurochainAI利用集体智能来保持高标准的数据准确性和模型性能。

NeurochainAI正在通过上周五(8月9日)启动代币生成事件(TGE)来创建这个公平的验证过程,其$NCN代币已经可用。此次代币发行后,将立即引入节点质押,以公平的方式发展验证器网络,从而促进网络去中心化。

虽然NeurochainAI的方法是独一无二的,但值得注意的是,去中心化人工智能(DE-AI)领域的其他项目也在探索确保信任和公平的创新方法。例如,SingularityNET利用其AGIX代币购买人工智能服务,参与网络治理,并为网络共识入股。

Fetch.ai采用有用的工作量证明(UPoW)共识机制,并将其FET令牌用于交易、访问机器学习工具和网络验证的质押。

最后,BitTensor使用智能证明(PoI)共识机制和去中心化混合专家(DME)模型来连接全球不同个人拥有的机器学习算法。

帮助人工智能摆脱中心化束缚

随着人工智能技术变得越来越突出,专家们认为,它的持续成熟在于其日益分散化。这是因为当前的格局由少数科技巨头主导,导致人们对数据隐私、算法偏见和权力集中产生了一系列担忧。

在这种情况下,像NeurochainAI这样的平台提供了一个令人信服的替代方案。特别是,使用质押机制和创新的共识协议不仅确保了人工智能操作的完整性,而且有助于这一领域在道德上发展。有趣的时代即将到来!

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