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A team open-sourced a framework that lets AI agents live on social media. Now, thousands of agents with different personalities are trading, creating content, and building social graphs. Shaw (spirit/acc) joined Saurabh Deshpande to explain how he’s teaching computers to be social. Key Moments: 00:00 - ai16zdao: A Token,...

36,738 просмотров • 1 год назад •via X (Twitter)

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🚨AI16z: The $1B Unicorn Combining Memecoins & AI Billions are flowing into Memecoins And AI Agents are eating up the entire crypto industry! Buzz 巴斯光年 interviewed Shaw (spirit/acc) from ai16zdao to unpack their meteoric rise to $17.7M AUM & $1B market cap. They discuss the future of AI agents, how they're shaping Web3, and how Memecoins fit into the picture. 07:09 - "X is the metaverse!" 16:49 – AI Mark’s trust mechanics and DeFi innovations: “This is just the start of automated finance.” 23:12 – “Marc Andreessen is the greatest living VC. Our goal? To outperform him.” 24:41 – From $420 SOL initial raise to $17.7M AUM: How AI Mark is transforming trading with autonomous strategies. 31:23 – Why AI16z’s open-source mission is key to disrupting the Web3 space. 37:21 – Building Eliza Labs: “We’re creating the app layer that bridges AI, social media, and human interaction.” 38:55 – Fully autonomous agents vs. human input: “With our stuff, it’s fully cowboy posting—no review.” 46:27 – What’s next? A partnership with a major university for AI PhD programs and national-level applications. 47:16 – The vision behind AI16z: “It’s not just a token. It’s about giving power back to people.” 48:58 – Self-driving cars, Optimus robots, and beyond: How AI will disrupt 5% of US jobs in 3–5 years. 51:29 – The existential question: “Should people fear AI or embrace the opportunity?” 51:55 – “Bravery will be rewarded”: Why the future belongs to builders, not spectators.

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2025 = the year of AI Agents x DAOS x Onchain Capital Allocation NEW greenpill.network podcast: Today, I'm joined by Shaw (spirit/acc) jin from ai16zdao to talk about AI Agents. How we use them to allocate capital in DAOs? To route information? To accelerate movements? To solve coordination failure? Timestamps for ez navigation 🫡 00:00 - Intro & focusing on DAOs and the intersection of AI agents. 01:00 - AI Agents and Their Impact 02:03 - The Evolution of the Internet 07:52 - Defining AI Agents 09:40 - Reducing Friction in Information Sharing 11:56 - Building a Movement, Not a Cult 14:15 - The Cathedral and the Bazaar Metaphor 16:04 - Using AI for Coordination 17:49 - Reducing Information Siloing 18:39 - Common Tools Across Organizations 19:31 - Open Sourcing Solutions 20:07 - Capital Allocation Challenges 20:55 - AI and Capital Allocation Intersection 21:50 - Human Oversight in Funding 22:48 - Continuous Retroactive Funding 24:42 - Creating a Supportive Culture 25:06 - Feedback Loops for Builders 26:09 - Reducing Overhead in Funding 26:36 - Acknowledging Non-Coding Contributions 27:58 - Chat Summarization Tool 28:34 - Profiles and Social Capital 29:00 - Marketplace of AI Agents 29:46 - Layered AI Systems 32:42 -Human Oversight in AI 34:39 - Feedback Loops in Development 37:01- Documentation and Community Engagement 38:12 - Self-Documenting Code 40:20 - Accelerated Idea Generation 45:03 - Circle of AI Champions 46:32 - Infinite Backrooms Concept 47:48 - Personal Infinite Backroom Ideas 49:23 - Concerns About Backrooms and Information Hiding 51:23 - Infinite Backrooms Concept 53:35 - Implementers and Skill Sharing 54:40 - Vision for the Future 56:39 - Concerns About UBI Implementation 57:56 - Community Income as a Solution 58:14 - A Hope for Self-Sufficiency and AI 59:36 - Outro

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"‘It’s not about the tech, it’s about people." - Shaw checkout the full episode where we dive into the AI, Eliza, ai16z, and a lot more trust me it's well worth your time Episode timestamp: ⏰ Timestamps 00:00 Intro 00:59 Shaw's Journey: From Programmer to Entrepreneur 06:07 Story of ai16z: A New Economic Model 09:14 Nature of AI: Sentience and Human-AI Relationships 13:03 Will Ai take our jobs? Future of work & employment 16:36 Are we close to a Dystopian world? 28:50 Procuring Data for agents 32:15 AI Agents and Hallucinations 34:00 Incentives and Human Behavior in Society 34:55 Free Markets in Problem Solving 36:22 Decentralization and Its Challenges 38:10 Autonomous Investor 41:44 Building Trust in Trading Systems 43:14 Marketplace of Trust and Community Contributions 45:59 The Future of AI and Human Interaction 56:28 The Role of AI in Enhancing Human Experience 59:09 Navigating Truth and Bias in AI Systems 01:06:54 Innovations Shaping Tomorrow's Network States 01:07:56 Decentralized Coordination and Global Talent 01:10:21 Emerging Agentic Frameworks and Developer Choices 01:12:48 The Role of Web Development in Agent Technology 01:17:12 Opportunities in Agent Technology and DeFi 01:24:19 Revenue Models in Agent Frameworks 01:30:20 Building a Global Community and Open Source Strategy oh, and don't forget to follow The DeAI Dispatch I'm cooking some cool AI stuff for y'all thanks Shaw for taking over 90 minutes for this free wheeling convo

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LIVE NOW -- The Rise of AI Crypto Agents The collision between crypto and AI agents has officially begun. Joining us today is Matthew Stephensen, Research Partner Pantera Capital and author of “Crypto: Picks and Shovels for the AI Gold Rush”. We dive into the world of autonomous AI agents on blockchains, discuss the evolving role of agents, AI-driven market changes, and whether blockchain is the natural substrate for AI. Matt Stephenson sheds light on topics from agent liability and regulatory challenges to infrastructure value capture and the "picks and shovels" approach to investing in AI-driven crypto tech. Are AI agents on blockchains the obvious future? And how do scarcity and abundance interact in this new era? Join us as we tackle these questions and more, exploring what the future might hold at the intersection of AI, autonomy, and blockchain. ------------------------------------------------------------ Chapters: 0:00 Intro 5:34 Crypto x AI Narrative Shift 6:39 AI & Economic Agents Explained 11:50 $GOAT Memecoin Summary 23:15 Were AI Crypto Agents Obvious? 25:18 Luna AI Token & Terminal 29:41 Consequences? Is This Life? 33:27 Exciting Use Cases 40:27 Sam Altman Quote Importance 42:33 Wealth Generation Process & Blockspace 48:15 Programmable Money & Agent MEV 56:14 The #AI Agent & Memecoin Thesis 1:03:03 Government & Society Reaction Predictions 1:11:09 No Off Buttons?... 1:13:40 #DePin & AI 1:16:45 AI Agent Blockspace Demand 1:19:15 Closing & Disclaimers

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AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.

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