
Privacy is the bedrock for the agent economy and NEAR Protocol is building the infrastructure to prove it.
In this episode of AI Supercycle, we sit down with Alex Shevchenko and Harshit Tiwari from NEAR Protocol and Aurora to discuss NEAR's 67+ chain intents with zero slippage, why privacy is a prerequisite for agent commerce, and how user-owned AI competes with the centralized AI cabal.
We discuss:
- NEAR Intents: 67+ Chains, Zero Slippage
- Shielded Zcash Transactions & Privacy Rights
- User-Owned AI vs. The Centralized AI Cabal
- How Solvers Create Efficient Cross-Chain Markets
- NEAR's Revanchist Theory & Token Economics
- Why Privacy Is a Prerequisite for Agent Commerce
00:00 Intro
01:02 NEAR Intents Overview: 67+ Chains, Zero Slippage
03:50 Zcash Integration Strategy
07:37 Chain Signatures & Omni Bridge Technology
10:52 Relay Ad, Alvara Ad, Talus Ad
11:40 Solver Network & Fee Structure
16:30 Privacy Levels Explained
20:09 User-Owned AI Philosophy
22:45 Hibachi Ad, Enso Ad
23:04 Private Money in the Agent Economy
26:20 NEAR Token Value Accrual
28:42 Revanchist Theory: Why NEAR Is Different
30:29 Product-First Ecosystem Approach
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