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 Moments

00:00:00 - Introduction to Recall

00:01:26 - Introduction to Andrew Hill and Recall

00:01:45 - The Need for a Curation Layer for AI Models

00:03:08 - Recall's Vision and Functioning

00:05:26 - The Role of Competitions in Recall

00:10:45 - The Future of Recall and AI Agents

00:15:26 - Demand for Agentic Systems in Trading

00:17:47 - The Evolution of AI Agents and Their Capabilities

00:20:17 - The Growing Role of AI Agents in Crypto Trading

00:26:51 - The Approach to Evaluating Subjective Skills

00:28:29 - The Behavior of AI Models

00:32:45 - The Role of Curators and Boosters in Recall

00:36:11 - The Future of AI Evaluation and Alignment

00:41:05 - The Role of Recall's Token in the AI Marketplace

00:43:38 - Revenue Lines for Recall

00:45:41 - The Role of Human Judges in Recall

00:48:11 - Challenges for Agent Builders and Future Prospects

00:49:08 - Potential Risks and Fears for Recall

00:49:20 - The Battle of Decentralized vs Centralized Intelligence

00:50:43 - The Future of AI Agents and Complex Tasks

00:51:19 - The Threat of a Single, All-Powerful Agent

00:52:13 - Recall's Achievements and What to Look Forward To

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