The Delphi Podcast

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.

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:

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

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 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.

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

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

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!

Rossen Yardanov, a core contributor to Azuro protocol, discusses the challenges and potential of prediction markets in the crypto space. He explains why prediction markets haven't taken off in the past and how Azuro is addressing these issues. Azuro is focused on making passive liquidity work in prediction markets, allowing anyone to play the role of the house and counter bets. They are also working on decentralizing the Oracle solution and improving dispute resolution. Azuro aims to be a middleware protocol that connects to any chain and provides tooling for builders to create prediction market applications easily. They are planning to launch their token and further decentralize governance in the future.

Rossen's Twitter - https://x.com/RossToTheFuture

Chapters

00:00 Introduction and Background

05:44 Challenges of Liquidity in Prediction Markets

13:19 Addressing Dispute Resolution in Prediction Markets

29:20 Token Launch and Future Plans

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.