David Johnston: Morpheus's Fair Launch Attracts $400M in stETH to Build Network of AI Agents

MAY 02, 2024 • 51 Min

Tom Shaughnessy
Tom Shaughnessy
Disclosures: This podcast is strictly informational and educational and is not investment advice or

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David Johnston discusses the Morpheus project, which aims to build a free future by providing individuals with their own personal AI. The project attracted significant interest and support through a fair launch, where users could stake their ETH and contribute to the project in exchange for tokens. The Morpheus network acts as a coordination platform between personalized AIs and a global network of services. The network uses a smart agent rank algorithm to recommend the best smart agents for specific tasks based on factors like reputation and usage. The fair launch model and token economics of Morpheus have attracted attention and may inspire other projects to adopt similar approaches. Morpheus Network has different buckets for rewarding contributors, including the code bucket, compute bucket, community bucket, capital bucket, and protection fund bucket. The code and compute buckets are important for providing value to the network. The code bucket rewards those who build the platform, while the compute bucket rewards those who provide computing resources. The community bucket rewards the builders of smart agents, and the capital bucket rewards those who provide capital. The protection fund bucket is for handling audits, bounties, and recovering from attacks. The network aims to strike a balance between proof of stake and proof of work.

David’s Twitter – https://twitter.com/DJohnstonEC

 

Chapters

00:00 Introduction to Morpheus and its Goals

03:18 The Fair Launch Model and Attracting Support

05:16 The Role of the Morpheus Network

10:29 The Smart Agent Rank Algorithm

25:53 Understanding the Reward Mechanism

31:08 Rewarding Smart Agents and Compute Providers

34:56 Directing Rewards with Morpheus Token Holders

38:45 Creating an Ecosystem for Developers

45:01 Rewarding App Builders and Preventing Centralization

46:28 The Potential of Decentralized AI Models

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Tom Shaughnessy
Tom Shaughnessy

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