In this episode of the Delphi podcast, co-host José Maria Macedo speaks with Kain Warwick, co-founder of Synthetix and Infinex. They discuss Kain's journey in the crypto space, the evolution of Synthetix, and the challenges faced by decentralized finance (DeFi). The conversation delves into user experience innovations, the competition in the DeFi space, and the importance of governance. Kane shares insights on the future of ICOs and the need for better governance models in the crypto ecosystem. Kain's Twitter: https://x.com/kaiynne Chapters 00:00 Introduction to Kain Warrick and Synthetix 03:23 Kain's Journey in the Crypto Space 06:59 The Evolution of Synthetix and Yield Farming 10:07 Understanding User Needs in DeFi 12:36 Infinex: Bridging Centralized and Decentralized Experiences 15:12 Challenges of Centralized Exchanges 17:53 User Experience Innovations in Infinex 20:19 Cross-Chain Integration and Aggregation 23:07 Building a Stateful Application for DeFi 26:26 Competition in the DeFi Space 29:12 Long Tail Opportunities in DeFi 34:54 The ETH vs. Solana Debate 37:56 Governance in DeFi: Challenges and Innovations 47:23 The Future of ICOs and Token Distribution 55:43 Governance Models and Their Evolution 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.

In this conversation, Jason from Story Protocol discusses the innovative approach to intellectual property (IP) in the blockchain space. He explains how Story Protocol aims to create a decentralized ecosystem for IP licensing, allowing creators to monetize their work without the traditional barriers of legal complexities. The discussion covers the vision behind Story Protocol, the challenges of traditional IP models, and the potential for user-generated content in a composable world. Jason emphasizes the importance of building a protocol that fosters creativity and collaboration among creators while addressing the legal and distribution challenges in the current landscape. Jason's Twitter: https://twitter.com/jasonjzhao Chapters 00:00 Introduction to Story Protocol and Recent Developments 02:51 The Vision Behind Story Protocol 06:03 Transitioning from AI to Blockchain 09:16 Understanding IP and Its Composability 13:02 The Future of IP Licensing with Story 16:51 The Role of Creators in the New IP Landscape 20:45 Building a Decentralized IP Ecosystem 23:34 Challenges of Traditional IP Models 27:18 Distribution Challenges in the IP Space 30:11 Engagement with Traditional IP Holders 33:03 The Future of IP in a Composable World 37:44 User-Generated Content and Its Potential 40:31 Managing IP Rights and Disputes 46:12 Global IP Enforcement Challenges 50:29 The Role of Copyright in IP Protection 52:22 Closing Thoughts on Story Protocol 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.

In this episode, host José Maria Macedo speaks with Illia Polosukhin, co-founder of NEAR and a key figure in AI development, about the launch of the Crypto X AI Accelerator. They discuss Illia's journey in AI, the significance of the Transformers paper, and the evolution of AI technologies. The conversation delves into the implications of AI on society, the importance of user-owned AI versus corporate-controlled AI, and the role of data in AI development. They also explore the goals of the accelerator and the opportunities it presents for founders in the AI and crypto space. José's Twitter: https://x.com/ZeMariaMacedo Illia's Twitter: https://x.com/ilblackdragon Chapters 00:00 Introduction to the Crypto X AI Accelerator 05:54 Ilya's Journey in AI and the Transformers Paper 12:40 The Evolution of AI and Google's Role 20:24 The Vision Behind Near and AI's Future 27:09 The Role of AI in Society and Future Implications 34:28 User-Owned AI vs. Corporate AI 39:48 The Importance of Data in AI Development 47:48 The Crypto AI Accelerator and Its Goals 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.

Legion aims to bring back ICOs and improve on the current market structure. The current market structure involves raising significant amounts of venture capital, running points programs or incentives, negotiating with centralized exchanges, and engaging with market makers. However, this system lacks community involvement and accountability, leading to poor outcomes for retail investors and hindering project growth. Legion aims to solve these issues by providing regulatory compliance, handling KYC, and ensuring investor reputation and accountability. This allows projects to distribute tokens to a valuable community and build a strong network from the early stages. Legion is focused on market and crypto assets regulation, particularly in the European Union (EU). The main goal of Legion is to ensure appropriate disclosure and investor protection in the crypto market. They aim to remove information asymmetry and make crypto assets more accessible. Legion is aligned with the Mika regulation, which allows projects from anywhere to raise funds from European citizens. The Legion score is a reputation-based metric that maximizes value add per dollar raised. It considers factors such as social influence, developer activity, on-chain activity, and endorsements. The ultimate vision for Legion is a world where projects are born and raised on the platform, with widespread community involvement and decentralized decision-making. José's Twitter: https://x.com/ZeMariaMacedo Fabrizio's Twitter: https://x.com/D0itdifferent Matt's Twitter: https://x.com/mattyTokenomics Chapters 00:00 Introduction to Legion and the Goal of Bringing Back ICOs 05:07 The Current Market Structure and its Issues 12:18 The Importance of Community Involvement and Accountability in ICOs 17:01 The History of ICOs and Why They Went Away 23:47 Issues with ICOs and How Legion Solves Them 30:23 MECA and Regulatory Compliance in ICOs 30:52 Market and Crypto Assets Regulation 39:38 Legion and Mika 40:37 The Legion Score 51:37 The Importance of Community 54:16 The Vision for Legion 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.

The conversation discusses the emergence of rollups on the Solana blockchain and explores different projects and their unique approaches. The main projects mentioned are Magic Block, SpiceNet, Zeta, Grass, and GetCode. Each project has its own specialization and use case, ranging from gaming to trading to data scraping. The conversation also touches on the importance of scalability and performance in these rollup solutions. In this conversation, the speakers discuss various topics related to Solana and its roll-up solutions. They touch on the importance of scalability, reliability, and privacy in layer 2 solutions. They also explore the concept of shared sequencers and the benefits they offer. The conversation highlights the potential of Solana as a sequencer for base roll-ups and the importance of composability and alignment between layer 1 and layer 2 solutions. The speakers also mention the use of Solana in banking operations and the need for privacy in financial transactions. They conclude by discussing the role of Solana in the roll-up ecosystem and its potential for attracting developers. Prasad's Twitter: https://x.com/Mahadikprasad15 Chapters 00:00 Introduction to Solana rollups 05:18 Exploring Magic Block, SpiceNet, Zeta, Grass, and GetCode 09:38 Scalability and Performance in Solana Rollups 28:01 Scalability, Reliability, and Privacy in Layer 2 Solutions 29:00 The Potential of Shared Sequencers 30:24 Solana as a Sequencer for Base Roll-Ups 37:15 The Importance of Privacy in Financial Transactions 46:19 Solana's Role in the Roll-Up Ecosystem 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.

TIG (The Innovation Game) is a decentralized science project designed to accelerate algorithmic innovation. It uses a coordination protocol and proof of work to discover the most efficient algorithms for scientific problems. The project originated in 2012 with the goal of addressing the lack of open development and funding for scientific research. TIG aims to bring real utility to the world using blockchain technology and is an outlier in the crypto space. The network consists of supply side actors (benchmarkers and innovators) who submit and improve algorithms, and demand side actors (miners) who use the algorithms to mine and provide market signals. The Innovation Game (TIG) aims to discover the most efficient algorithmic solutions to scientific problems. TIG focuses on solving problems that are hard to solve but easy to verify. The selection of problems is done by a committee of scientists and domain experts. TIG currently has challenges in Boolean Satisfiability, Knapsack Problem, Capacitated Vehicle Routing, and Vector Search. These problems have applications in various industries, including hardware design verification, logistics optimization, and AI. TIG plans to add more challenges and aims to onboard several hundred more challenges over the next three to five years. The network captures the value it creates through IP licensing, using a dual licensing model. TIG offers an open data license for academics and open source enthusiasts and a commercial license for corporations. The commercial license fees are payable in TIG tokens, generating demand for the token. TIG's go-to-market strategy includes targeting universities, crypto and science societies, and leveraging industry connections. The roadmap includes transitioning to a layer one blockchain and adding a deposit requirement for benchmarkers. TIG aims to bring in more innovators, particularly from the academic world, by providing a tangible value that can fund their research. Dr Fletcher's Twitter/X: https://x.com/dr_johnfletcher Chapters: 00:00 Introduction to TIG 02:00 Proof of Work in TIG 03:26 Origin of TIG 11:08 TIG as an Outlier in Crypto 15:16 Role of Benchmarkers, Innovators, and Miners 18:07 Rewards for Innovators and Benchmarkers 24:06 Purpose of Proof of Work in TIG 26:03 Using Synthetic Problems in TIG 28:18 Discovering Efficient Algorithmic Solutions 29:39 Hardware and Algorithm Development 31:05 Challenges in Various Industries 34:22 Problem Selection and Importance 41:36 Capturing Value through IP Licensing 46:36 Go-to-Market Strategy and Onboarding Challenges 51:13 Roadmap: Transitioning to a Layer One Blockchain 53:33 Adding Deposit Requirement for Benchmarkers 55:19 Bringing in Innovators from the Academic World Disclaimer: 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.

Himanshu, a core contributor to Sentient, discusses the vision and mission of the project in this conversation. Sentient aims to create a decentralized alternative to centralized AI, where contributors are rewarded for their contributions and the AI economy is more participatory. The project recently raised $85 million in funding led by Peter Thiel's fund. Himanshu explains that while $85 million may seem like a lot in the crypto world, it is not enough considering the expensive resources required for AI, such as compute and talent. He discusses his background in academia and his journey into building different systems related to blockchain and AI. He also explains how the idea for Sentient came about and the decision to focus on building a counterpart to centralized AI. He emphasizes the importance of participation in the AI economy and the need for a more inclusive and decentralized approach. He addresses the market forces that favor crypto AI, such as the availability of compute and the potential for a more powerful economic flywheel. He also discusses the challenges of attracting AI talent to the crypto space and explains how Sentient aims to build models and create an open economy where anyone can contribute and earn rewards. Sentient aims to solve the monetization problem of open source AI models through their Open Monetizable Loyal (OML) Models and Other Artifacts. OML models are open source, can be monetized, and are loyal to the builder's preferred alignment and safety rules. The OML protocol uses backdoor attacks as a basic primitive to tie ownership and monetization to the actual model. Sentient plans to attract and incentivize AI developers by offering distribution and revenue opportunities for their models. The platform will be released in a demo version at DevCon, with hackathons and limited circles experiencing it before that. Himanshu's Twitter: https://x.com/hstyagi Sentient's Twitter: https://x.com/sentient_agi Chapters 00:00 Introduction and Funding in Crypto AI 03:29 The Vision: Building a Decentralized Alternative to Centralized AI 09:07 Creating an Open and Participatory AI Economy 14:51 Sentient as an AI Company: Building Models and Providing AI 19:38 The Potential of Crypto AI and Access to Capital 30:38 Attracting AI Talent and the Role of the Younger Generation 34:32 The Future of Crypto AI: A More Inclusive and Decentralized AI Economy 35:01 Solving the Monetization Problem of Open Source AI Models 44:41 Introducing OML Models: Open, Monetizable, and Loyal 48:31 Using Backdoor Attacks to Tie Ownership and Monetization 51:25 Attracting and Incentivizing AI Developers with Sentient 01:00:33 Upcoming Release and Hackathons at DevCon 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.

This episode features a discussion between four AI experts. The conversation explores the advantages and disadvantages of both centralized and decentralized AI and delves into topics such as data concentration, market power, security, and the future of AI. We discuss the potential risks and benefits of each approach and highlight the importance of competition, open source development, and user value in shaping the future of AI. The limitations of the current centralized paradigm and the need for a more distributed approach are also examined. The conversation touches on the implications of AI for national security and the importance of economic value capture. The role of distribution as a moat and the potential for smaller, more nimble companies to outperform larger ones are considered. The conversation concludes with a discussion on the tipping point for decentralized AI and the potential for exponential growth with the emergence of agents on blockchain. Ben's Twitter: https://x.com/fenbielding Travis' Twitter: https://x.com/IridiumEagle Michael's Twitter: https://x.com/mrink0 PD's Twitter: https://x.com/PonderingDurian Read our reports on AI: The Real Merge - https://members.delphidigital.io/reports/the-real-merge#random-walks-down-determined-paths-ef0b The Tower and the Square - https://members.delphidigital.io/reports/the-tower-the-square Chapters 00:00 Introduction and Overview 03:26 The Tower in the Square: Centralized vs. Decentralized AI 08:14 The Importance of Trustworthiness and Privacy 11:24 Differentiating Between AI Types and Incentive Structures 14:43 Consumer Preference and Convenience in AI Adoption 26:08 Security Concerns and the Fragility of Concentrated Power 30:54 Building a Competitive Alternative to Centralized AI 37:19 The Accidental Gold Rush and the Future of AI 38:19 Scaling Models and Open Source Solutions 40:17 The Debate: Scaling Laws vs. Alternative Approaches to AGI 44:21 The Limitations of the Centralized Paradigm and the Need for a Distributed Approach 48:02 AI and National Security: Implications and Challenges 53:48 Economic Value Capture and the Role of Distribution 01:09:00 The Moat of Distribution: Large vs. Small Companies 01:17:16 The Potential Disruption of Decentralized AI and Crypto 01:19:11 Different Business Models: OpenAI vs. Meta 01:20:49 The Commodification Risk of AI Models 01:22:42 Advantages of Trustless and Deterministic Execution in Crypto 01:29:52 The Financialization Potential of AI in the Crypto Space 01:41:49 The Tipping Point for Decentralized AI: Agents on Blockchain 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.

Berachain is an EVM-compatible L1 blockchain powered by Proof-of-Liquidity. Users earn the native token, BGT, by providing liquidity to applications on the chain. Join us as we speak to Berachain's cofounder on how the chain works, it's liquidity framework and the roadmap ahead! Smokey's Twitter: https://x.com/SmokeyTheBera Chapters 00:00 Introduction 08:37 Overview of Berachain: EVM-Compatible L1 Blockchain 16:03 Incentivizing Liquidity and Applications on Berachain 25:49 Combining Security and Liquidity on Berachain 28:07 Tying Liquidity to Security 30:31 Curating Applications in DeFi, Gaming, and Social 34:42 Raising Funds and Expanding Internationally 45:28 Attracting Established Projects and Supporting Struggling Applications 54:01 Incentive Design, Launch Plans, and Supporting the App Layer Ecosystem 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.

Rossen Yordanov, core contributor to Azuro protocol, discusses challenges in prediction markets and Azuro's solutions. They focus on passive liquidity, decentralizing Oracles, and future governance plans. The podcast covers the token launch, dispute resolution, and user engagement in prediction markets.