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Zo

@zoapp

94 Following
184 Followers
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@zoapp
AMA Announcement 📢 We're gearing up for the Zo x Farcaster Launch Party, and to kick things off, we're hosting an exciting AMA session on "Social Agents: The Future of Web3 Social" with our special guest @awkquarian.eth ✨ 🗓️ Date & Time: 15th October, 3:30 PM UTC Join us as we dive into how AI agents are reshaping social interactions and crypto research in Web3, all while celebrating the upcoming launch of Zo's Farcaster Frame! 🎉 Mark your calendars, and don't miss out on this insightful conversation and the launch festivities! ⬇️ Set a Reminder 🔔 https://x.com/i/spaces/1DXxydVQEnnJM
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AMA Announcement 📢 We're gearing up for the Zo x Farcaster Launch Party, and to kick things off, we're hosting an exciting AMA session on "Gamification in Web3: How to drive user engagement through meaningful incentives" with our special guest Tony from @catoffgaming 🚀 🗓️ Date & Time: 11th October, 3:30 PM UTC Join us as we dive into how AI agents are reshaping social interactions and crypto research in Web3, all while celebrating the upcoming launch of Zo's Farcaster Frame! 🎉 Mark your calendars, and don't miss out on this insightful conversation and the launch festivities! Set a Reminder ⬇️ #ZoAMA #ZoFarcasterLaunch #Web3Social #AIxWeb3
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Trump got his #Zovereign merch, get yours now🔗👇🏻 https://x.com/joinzo/status/1843314807073894755
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Zo September Recap: Key Highlights 🧵 A month filled with exciting product updates, partnerships, community engagements, insightful discussions, and more. Breaking it down to catch you up on them: Check out the full details on X 👇 https://x.com/joinzo/status/1844292506487488901?s=46
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CRDTs Part 2: Here’s how CRDTs can benefit and support federated on-chain multi-agent systems, something that @joinzo is based on. Let's define CRDTs: CRDTs (Conflict-Free Replicated Data Types) are a class of data structures that enable efficient, decentralized data replication across multiple nodes or systems, ensuring eventual consistency without the need for coordination or locking mechanisms. The correlation between how CRDTs and federated on-chain multi-agent systems👇🏻
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Looks like someone’s trying really hard to make us believe they're not Satoshi! 👀 Ask him yourself 👉🏻https://zo.me/zo-iamsatoshicqfm & share your chat(ss) in the comments.
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In mood for some snag? Grabs yours👇 https://x.com/joinzo/status/1843314807073894755?s=46
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50k and going🚀
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🎉 Zo is officially 50K downloads strong 🎉 To our incredible Zo community—THANK YOU! 🙌🏻 This milestone wouldn't be possible without our amazing users and early supporters. We're just getting started, and to celebrate, we're giving back! Join the #ZovereignStreak campaign and snag exclusive Zo merch by completing a few simple social tasks. Link in the next tweet🔗👇🏻 Let's keep building together! #Zo50k #ZoCommunity #Zovereign
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We are giving away some merch to our Zo fam! Check us out👇🏻 https://x.com/joinzo/status/1843314807073894755
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🇪🇸 Hola familia Zo! El soporte en español está disponible para los chatbots > Spanish support is live. Try now at http://app.zo.me
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Set /zoapp as a widget for easy access on your Lock Screen and as a shortcut. To add the widget, update to the latest version of the app. Available on App store & Play store.
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The bounty is live! Join in🚀
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The "Why now" of Data DAOs: Here's why Data DAOs are critical for the Agentic web👇🏻🧵 Imagine a world where your personal data could be the key to unlocking the next AI breakthrough. One way to unlock is through "Data DAOs." Why now? - Public data: Largely exhausted - Login-gated content: Mostly inaccessible - Private user data: An untapped goldmine Enter Data DAOs: Collectives that create, organize, and govern data. They offer a solution to both the 'what' and 'how' of data collection: 1. New datasets: Opening up previously inaccessible data sources. 2. Fair value distribution: Ensuring data contributors see economic upside. 3. Governance: Allowing users to control how their data is used and monetized. Potential Data DAO Applications: - Real-world data from IoT devices - Human feedback for AI model fine-tuning - Private user data, ethically sourced and governed As publicly available data sources become exhausted, proprietary datasets will likely become the new basis of competition in AI.
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Join the Zo x Farcaster Launch 🚀 Zo: An OS for human to agent coordination, will be launching it's farcaster frame that lets you clone your farcaster profile as an agent on the Zo app. We'll be launching the frame on 1st November and as part of the launch, we want to celebrate the pre-launch month with the Warpcast family with a bunch of bounties. This one being the first👇🏻 Task: 1. Follow /zoapp 2. Click notify icon 🔔 for launch updates. 3. Bonus task: Recast pinned cast, link: warpcast.com/zoapp/0xa7ef... Note: Completing the bonus task increases your chances of winning. Reward: ONE lucky winner will receive 1000 $DEGEN! 💰 Get ready, participate, and this could be YOUR chance to win! 🚀 Winner announcement: 15th October, 2024 @bountybot @bountycaster
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Good to have you on, @samuellhuber.eth 🙌 Tune in now, folks. We are live! 🔴
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(1/3)Will AI agents run the show? Welcome to the world of AI DAOs. The rise and how it shapes the collective intelligence. A thread It's a fascinating convergence of crypto and AI, with potential to reshape how we approach complex problem-solving. Let's dive in. AI DAOs leverage the power of swarm intelligence - multiple AI agents working together to make decisions and solve problems that would be challenging for individual agents. Think of it as collective AI wisdom. These systems use multi-agent communication to tackle complex issues. It's not just about individual AI capability, but how they interact and combine their strengths to find solutions. Machine-to-machine (M2M) communication is at the heart of this. It's accelerating AI evolution and adaptation at an unprecedented pace, opening new possibilities for autonomous systems.
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Join the Zo x Farcaster Launch 🚀 Zo: An OS for human to agent coordination, will be launching it's farcaster frame that lets you clone your farcaster profile as an agent on the Zo app. We'll be launching the frame on 1st November and as part of the launch, we want to celebrate the pre-launch month with the Warpcast family with a bunch of bounties. This one being the first👇🏻 Task: 1. Follow /zoapp 2. Click notify icon 🔔 for launch updates. 3. Bonus task: Recast pinned cast, link: https://warpcast.com/zoapp/0xa7eff298 Note: Completing the bonus task increases your chances of winning. Reward: 20 winners will each receive 5 USDC. Total prize pool: 100 USDC. Winners announcement: 15th October, 2024 @bountybot @bountycaster
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Meet Zo: The OS for Human to Agent Coordination. Chat with Friends and AI 🤖 ​ Zo is a Super App with AI powered mini-apps! Chat with powerful AI Agents and your friends using Zo. ​ Zo is powered by a Decentralized Messaging protocol using a CRDT and Federated Nodes to enable Multi-Actor Coordination! ​ Key Features of Zo: ​ ✅ Customized AI Apps: Enhance your conversations with customized AI apps trained on your data, tailored to your needs. ​ ✅ Group Chats with Friends and AI: Create multi-agent group chats with friends, your custom AI apps and apps from the marketplace. ​ ✅ Link In Bio: Your linktree for the Web3 x AI era. Showcase your socials, NFTs, AI apps and other links. Your social graph now has a home page. ​ ✅ Rewards: Earn rewards for active engagement in the app. Participate in daily and weekly quests. ​ 📲 Download the Zo App now! Available on both Play Store and App Store. ​ Join Zo now! Available on Web, iOS & Play store. ​ #JoinZo #ZoApp #ZoxFarcaster
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If you building agents, you should first understand "Agent Architecture Profiles"👇🏻 Agents have profiles or personalities which define a role into the prompt to influence the LLM behaviors and skillset. This is largely determined by the specific application. Likely many of you already use this as a prompting technique today: "You are an expert nutritionist. Provide me with a meal plan...". Interestingly, providing the LLM a role improves its outputs vs. baseline. Profiles can be crafted by the following methods: → Handcrafting: Manually specified profiles by a human creator; most flexible but also time consuming. → LLM-generation: profile generated by an LLM with a ruleset around composition and attributes + (optionally) few-shot examples. → Dataset Alignment: profiles are generated from a real-world dataset of people.
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