Zero Knowledge Network 致力于构建元数据私有互联网层,保护用户在Web3交互中产生的各种痕迹,运用零知识证明技术,在DeFi、身份验证、数据安全等领域构建一个安全网络,并探索零知识机器学习的应用,打造更安全、更私密的Web3世界。
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Things are all coming together. Be sure to check out the official TG and make sure you have migrated old 0kn tokens to receive your #zkn. The next chapter is soon underway. #PrivacyMatter #Crypto #DePin #IoT @_zknet
事情都在逐渐成形。请务必查看官方TG(Telegram),并确保已将旧的0kn代币迁移以接收你的#zkn。下一章即将开始。#PrivacyMatter #Crypto #DePin #IoT
Things are all coming together. Be sure to check out the official TG and make sure you have migrated old 0kn tokens to receive your #zkn. The next chapter is soon underway. #PrivacyMatter #Crypto #DePin #IoT @_zknet
事情都在逐渐成形。请务必查看官方TG并确保已将旧的0kn代币迁移以接收你的#zkn。下一章即将开始。#PrivacyMatter #Crypto #DePin #IoT
ZKN is developing Layer 0 mix-networks that are quantum resistant, providing secure network infrastructure in the DePIN sector. They use advanced post-quantum mix networks and zero-knowledge proofs to create a decentralized ecosystem, ensuring military-grade privacy and data protection, and empowering global privacy-focused applications. Things are starting to heat up. @_zknet #zkn
ZKN正在开发抗量子的Layer 0混合网络,为DePIN领域提供安全的网络基础设施。他们使用先进的后量子混合网络和零知识证明来创建一个去中心化的生态系统,确保军事级别的隐私和数据保护,并赋能全球注重隐私的应用程序。事情开始升温了。@_zknet #zkn
The #ZKN team was selected for the Mina Web Node Testnet, testing stability and performance of a developing node. The node runs in a web browser without specialized hardware.@_zknet explores system requirements within their privacy-preserving decentralized utility. https://t.co/JVg8kWOvho
#ZKN团队被选中参与Mina Web节点测试网,测试开发中节点的稳定性和性能。该节点在无需专用硬件的网页浏览器中运行。@_zknet探索其隐私保护去中心化实用工具的系统需求。https://t.co/JVg8kWOvho
✨ZKN for Decentralized AI Training Compute Imagine you're an AI researcher, but instead of relying on expensive centralized cloud services like AWS or Google Cloud, you tap into a decentralized network of GPUs. These GPUs belong to individuals worldwide such as gamers, crypto miners, and even regular PC Users who aren't fully utilizing their hardware. Here's where @_zknet steps in 👇: ✅Resources Providers Anyone with unused GPU power can stake $ZKN tokens and offer their compute power to the network. ✅AI Model Trainers Developers, startups, or researchers looking for affordable, privacy preserving AI training can pay in $ZKN to rent these distributed GPUs. ✅Zero Knowledge Proofs (ZKPs) Instead of sending raw AI training data to multiple GPUs (which could leak sensitive information), #ZKPs ensure that computations are verified without exposing the actual data. ✅Energy Efficient Computer Sharing Since GPU owners already have hardware running (e.g., mining, gaming, or idle workstations), this reduces waste and makes AI model training more sustainable. ✅Token Incentives GPU providers earn $ZKN rewards based on the compute they contribute, while AI trainers get cost effective, decentralized computing without relying on Big Tech monopolies. This flips the script on AI model training, making it more private, decentralized, and energy efficient, all while using #ZKN as the backbone of the economy. Want to know more about #ZKN please check @_zknet twitter official account.
✨ZKN用于去中心化AI训练计算 想象一下,你是一名AI研究员,但不再依赖昂贵的集中式云服务(如AWS或Google Cloud),而是接入一个去中心化的GPU网络。这些GPU属于全球各地的个人,如游戏玩家、加密货币矿工,甚至是未充分利用硬件的普通PC用户。 这就是@_zknet的用武之地👇: ✅资源提供者 任何拥有未使用GPU算力的人都可以质押$ZKN代币,并将其算力提供给网络。 ✅AI模型训练者 开发者、初创公司或研究人员可以支付$ZKN来租用这些分布式GPU,以获得经济实惠且保护隐私的AI训练。 ✅零知识证明(ZKPs) 与将原始AI训练数据发送到多个GPU(可能泄露敏感信息)不同,#ZKPs确保在不暴露实际数据的情况下验证计算。 ✅节能的计算机共享 由于GPU所有者已经运行硬件(例如挖矿、游戏或闲置工作站),这减少了浪费,使AI模型训练更加可持续。 ✅代币激励 GPU提供者根据其贡献的算力获得$ZKN奖励,而AI训练者则获得成本效益高、去中心化的计算资源,无需依赖大型科技公司的垄断。 这彻底改变了AI模型训练的格局,使其更加私密、去中心化和节能,同时使用#ZKN作为经济的支柱。 想了解更多关于#ZKN的信息,请查看@_zknet的官方推特账号。