EP 35 — AI Traders, Swarms, and Surviving the Bear Market with Shaw

In a space where information is the ultimate edge, how do the best traders and builders stay ahead?Shaw from elizaOS returns to the podcast to break down the harsh realities of crypto trading, AI-driven investing, and building through market cycles. We explore:•The information edge in crypto: Why the best traders aren’t chart readers but those closest to deal flow.• AI trading agents: Overhyped? Why LLMs struggle with time-series data and where AI can actually add value.• Swarms over super AIs: The case for specialized AI agents instead of one-size-fits-all models.• Surviving market downturns: How token allocation mistakes are forcing founders into existential choices.• Revenue vs. hype: Why sustainable monetization beats reliance on speculative pumps.• Vampire attack partnerships: How some collaborations are designed to drain value rather than create it.Chapters —00:00 Introduction 02:52 The Role of AI in the Current Market05:53 Building Trust for AI-Driven Trading08:45 Exploring Copy Trading and Community Dynamics12:02 AI Agents and Swarms17:51 Practical Applications of AI Agents in Workflows28:09 Privacy and Security in Multi-tenant Environments35:12 Navigating Startup Challenges and Team Dynamics38:08 Tokenomics and Value Accrual Strategies46:21 Timing the Market and Launch Strategies50:20 The Future of Product Quality in DAOs51:09 Identifying Gaps in DAO Governance55:52 Balancing Contributions and Token Holding01:01:52 User Experience in DeFi Applications01:04:04 The Hype Cycle of New Technologies01:06:35 Lessons Learned from the Crypto SpaceFollow Us:DCo – https://x.com/DecentralisedcoShaw (wartime arc) – https://x.com/shawmakesmagicSaurabh Deshpande – https://x.com/desh_saurabhSubscribe to the DCo Newsletter – https://www.decentralised.co/subscribe This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.decentralised.co