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🧠 REI Network: The Most Ambitious AI Agent Project in Crypto? | Deep Dive Analysis

Welcome back to another episode of CryptoScoop FM!
Today, we’re diving deep into REI Network, one of the most promising (and underrated) projects at the intersection of AI and crypto.

REI is NOT your average LLM hype play. It’s a research-first AI infrastructure project built on core cognitive science principles like metacognition, persistent memory, and adaptive learning — aiming to build synthetic brains that function more like real human brains than statistical pattern-matchers.

In this video, I’ll break down:

🚀 What REI Network is trying to achieve (and why it’s different from other AI projects)
🧠 How the architecture works: Bouty, Reasoning Cluster, and Model Orchestrator
📊 Their newly launched foundation model HANABI-1, focused on financial prediction
🛠️ Use cases, SDKs, agent marketplace, and staking dynamics
📈 My thoughts on the RAY token’s price action + tokenomics + why I took a small position
⚠️ PLUS: Why metacognition might be the missing piece in building useful AI agents

REI is still early (private beta stage), but its approach could become a cornerstone for the next generation of intelligent onchain agents.

CG $REI: https://www.coingecko.com/en/coins/un...
Follow me on X: https://x.com/degenrsc
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👋 If you’re new here, I’m Rohit. I’ve been in crypto for over 4 years with exec stints at Polygon Labs, Socket Protocol, and LongHash Ventures — and now I break down the most exciting ideas in crypto for you every day.

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📩 Got a project for me to review? Drop it in the comments.
🗣️ Join the convo in the comments or hop into Ray’s Discord if you’re curious.

⛔️ Nothing in this video is financial, legal, or life advice. DYOR always.