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Some uncomfortable inevitabilities: - The heat death of the universe - The sun will consume the Earth - AI and Robots will survive humanity - AI and Robots will perform most of our current professions within this generation Your only actual options: - Freak out - Cope Which of

🧵 Zero Knowledge Proofs Explained Like You’re 5! 1/What the heck is Zero Knowledge Proof (ZKP)? 🤯 🕵️‍♂️ Imagine you have a secret and you can prove that you know it without telling anyone what it is! That’s ZKP. It’s like telling your friend, “Trust me, I know the Wi-Fi

GUD MORNING vie...... CRYPTO! If your ears have endured enough torture from DJ Soda and washed-up house DJs during KBW&Token, we got you covered. youtube.com/watch?v=ZWijx_… Let’s prove crypto’s got better taste. 🔥 Grab your code, your beer (or coffee), and keep on rocking:

Yzi Labs is glad to have supported Salus in the security auditing space over the years, and we look forward to seeing the growth of their latest crypto venture, ZEROBASE

These 12 projects from our portfolio will be pitching on the Innovation Stage at Binance Blockchain Week in Dubai, taking place from 30-31 Oct. aPriori ⌘ KiloEx MilkyWay 🥛 Movement OpenEden Puffer Finance 🐡 Solayer StakeStone UXUY | Where 100x happens ZEROBASE

We're proud to launch ZEROBASE Staking! This sophisticated yet user-friendly product is crafted to ensure the security and reliability of prover nodes during ZKP generation. Supported by cutting-edge ZK Interval Proof technology, our system provides robust risk control and

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ZEROBASE GZERO. Hyperliquid.

AI is sweeping DeFi, giving birth to a new trend in DeFAI. Hey Anon chat interface simplifies DeFi operations through natural language, spans IOTA, Arbitrum, Solana and other chains, with a token market value of over US$100 million. griffain focuses on automated

One bottleneck to training AI 1. Good training data is limited 2. The more people become reliant on AI, the more people become retarded 4. Good training data becomes even more limited

Sybil 攻击对区块链生态系统构成重大安全威胁，尤其是在代币空投活动中. 本研究的方法和结果可以进一步应用于交易操纵识别、代币流动性风险评估等更广泛的区块链安全领域，为构建更加安全、公平的区块链生态系统做出贡献 由于所有的作者都无法到场,该研究由 Lilith 在 IEEE ICBC 报告，谢谢你