EP 47 — Solving the AI Curation Problem with Andrew Hill from Recall

AI agents are cheap to launch and impossible to trust. This episode is for people building and backing growth-stage crypto startups: how do you pick between thousands of on-chain “trading bots,” research assistants, and execution agents when most collapse in live conditions? Andrew Hill, CEO of Recall, lays out how Recall is trying to become crypto’s neutral trust layer for agents with live competitions, skill markets, and a ranking system you can actually underwrite.Key Moments00:00:00 - Introduction to Recall00:01:26 - Introduction to Andrew Hill and Recall00:01:45 - The Need for a Curation Layer for AI Models00:03:08 - Recall's Vision and Functioning00:05:26 - The Role of Competitions in Recall00:10:45 - The Future of Recall and AI Agents00:15:26 - Demand for Agentic Systems in Trading00:17:47 - The Evolution of AI Agents and Their Capabilities00:20:17 - The Growing Role of AI Agents in Crypto Trading00:26:51 - The Approach to Evaluating Subjective Skills00:28:29 - The Behavior of AI Models00:32:45 - The Role of Curators and Boosters in Recall00:36:11 - The Future of AI Evaluation and Alignment00:41:05 - The Role of Recall's Token in the AI Marketplace00:43:38 - Revenue Lines for Recall00:45:41 - The Role of Human Judges in Recall00:48:11 - Challenges for Agent Builders and Future Prospects00:49:08 - Potential Risks and Fears for Recall00:49:20 - The Battle of Decentralized vs Centralized Intelligence00:50:43 - The Future of AI Agents and Complex Tasks00:51:19 - The Threat of a Single, All-Powerful Agent00:52:13 - Recall's Achievements and What to Look Forward To 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