The Delphi Podcast

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 Disclosures This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token.

0G Labs is building the world's first modular AI chain that enables on-chain storage of training data, models, and the entire stack for crypto AI. Their DA layer provides high throughput and scalability, with a performance difference of 50,000 times better and 100 times cheaper than existing solutions. They aim to achieve Web2 parity on-chain for AI and promote transparency, traceability, and democratization of AI. 0G Labs is focused on making AI a public good and ensuring verifiability and alignment of models. Their roadmap includes launching the base infrastructure, introducing custom consensus, and expanding AI support and capabilities. Michael's Twitter - https://twitter.com/mheinrich Ming's Twitter - https://twitter.com/spark_ren Jason's Twitter - https://twitter.com/zenghbo Chapters 00:00 Introduction 17:42 The DA Layer: High Throughput and Scalability 29:13 Promoting Transparency and Democratization of AI 38:54 Differentiators of Zero G Labs 51:28 Roadmap and Future of Crypto AI Disclosures This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token.

Founder of GRASS, a viral crypto AI project on Solana, discusses democratizing web data access. GRASS has 2M scraping devices for AI training, promoting fairness and transparency. Protocol on Solana blockchain for speed and scalability. Addresses bias in AI models, compensating users for data contributions, and ensuring data authenticity.

Josh, Co-founder of Astria, talks about shared sequencers and their benefits for rollup developers, including cost-sharing and competitive experiences. He discusses the trade-offs and constraints of using a shared sequencer, like block time and potential lock-in. The podcast also explores the evolving landscape of optimistic rollups vs. ZK rollups and the challenges of building a cost-competitive shared sequencer in the market.

Integral is a financial operations and accounting platform for companies with Web3 assets. It simplifies financial workflows and provides real-time access to financial information. The platform saves businesses time and frustration by automating tasks such as bookkeeping, payroll, and payments. Integral enables companies to manage their crypto assets, track transactions, and generate financial statements easily. It also facilitates global operations, complex money flows, and multiple asset classes. The platform is part of the larger transformation in capital formation and the redefinition of companies in the Web3 era. Integral is an accounting software for the future of composable Web3 companies. It aims to facilitate the operations of businesses beyond just accounting, including tax, payments, payroll, and financial planning. By providing accurate and real-time data on business finances, Integral enables founders and large corporations to make better decisions and manage their assets more effectively. The platform also offers benefits such as reducing the need for internal controllers, automating processes, and improving efficiency. Integral serves a range of clients, including startups, large brands like Nike, and VC firms. The company is also exploring the use of AI to enhance legibility and provide proactive recommendations. Gui's Twitter⁠ Avi's Twitter Drew's Twitter Chapters 00:00 - Introduction and Background 08:39 - Overview of Integral and its Benefits 31:25 - The Composable Nature of Integral in the Web3 Era 45:13 - Enhancing Legibility and Providing Proactive Recommendations with Integral Disclosures Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi’s transparency page can be viewed ⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.

Tory Green, Co-founder of Ionet on Solana, discusses solving GPU shortages in AI with a decentralized network linking underused GPUs. Their focus is on inferencing, decentralized AI, and creating a model marketplace. They aim to disrupt big tech control, cater to Series A AI firms, and expand into gaming and zero knowledge.

The podcast explores Layer 3 blockchains' customization and low gas fees, focusing on Degen Chain's journey and Syndicate's role in its development. L3s offer customization for startups, with a vision for interoperability. The shift to L3 solutions from L2s is emphasized, with a focus on usage and adoption. Degen Chain aims to revolutionize on-chain communities through innovative experiences and decentralized mechanisms.

Jeff, Co-founder of Nous Research, discusses open-source models and BitTensor subnets to rank models. They explore synthetic data generation, AGI inevitability, crypto-AI intersection, verification challenges, and their mission in the crypto AI space.

A lively conversation at ETH Denver explores the intersection of crypto and AI, emphasizing the importance of decentralization and open-source projects like AGI Guild and Morpheus. The discussion covers the potential of Web3 technology to drive innovation in AI models and the challenges of decentralized data verification in DeFi protocols. Topics include the impact of MyShell.ai chatbots, the concept of zero party data, and the future trends in decentralized AI and compute integration.

The podcast discusses MyShell.ai, a platform for creating AI experiences, focusing on consumer-facing applications and enhancing daily life. They explore AI evolution, future AI companions, and the role of incentives in the ecosystem. The conversation also covers competition in the AI crypto space, anticipating user needs with AI, and navigating the intersection of AI, crypto, and regulation. Lastly, they touch on blockchain deployment, empowering creators, and integrating AI into crypto projects.