The Delphi Podcast The Delphi Podcast

Eigenlayer is a protocol for decentralized trust, allowing anyone to build new crypto applications without worrying about the source of trust. It enables other protocols to inherit the security of Ethereum by staking ETH and running the Ethereum protocol correctly. Eigenlayer also introduces the concept of Actively Validated Services (AVS), which consume decentralized trust from the Eigenlayer ecosystem. AVSs are verifiable SaaS (Software as a Service) that provide specialized services on top of Eigenlayer. Economic security is crucial for the short-term trust in blockchain systems, while social consensus operates on a longer time scale. The conversation explores the concept of economic security and the role of institutions in managing risks. It discusses the importance of protocols having sharp measured security and the need for regularizing risks in the crypto space. The conversation also delves into the idea of open innovation and the goal of empowering better services. The second part of the conversation focuses on the interplay between objective, subjective, and intersubjective faults in blockchain systems. It explains the need to bring social truth on-chain and the mechanism of forking to determine the true version of a token. The conversation concludes by highlighting the benefits of pooling security and the importance of isolation between financial applications and forking applications. EigenLayer's core premise is to provide decentralized trust to as many different applications as possible. The Eigen token is consumed by AVSs for intersubjective false and intersubjective staking. In the event of a fault, all AVSs must decide which token to follow within a lag period. Forking occurs after the 28-day period, with each AVS switching to one of the two forks. The system ensures that faults are adjudicated by a majority vote among eigenstakers. The AVSs are compensated for any faults, and the system remains secure as long as the transaction value is less than the attributable security. The Eigen token design went through multiple iterations, with the goal of finding the right balance between order and chaos. EigenLayer's view is that decentralized trust is the raw material of the crypto economy, and trustless composability is crucial. The project aims to bridge the gap between short-term utility and long-term merit. The success of EigenLayer's ecosystem was an emergent phenomenon, driven by the principles of reducing capital costs and incentivizing adoption.


Sreeram's Twitter - https://twitter.com/sreeramkannan



Chapters



00:00 Introduction to Eigenlayer and Restaking

03:52 Verifiable SaaS: Actively Validated Services

14:31 The Importance of Economic Security

34:09 Managing Risks and Ensuring Economic Security

36:01 Open Innovation and Better Services

45:26 The Importance of Unit Matching in Economic Security

54:23 Bringing Social Truth On-Chain through Forking

01:03:53 Pooling Security and Elastic Scaling

01:07:31 Isolation: Maintaining Trust and Avoiding Centralized Influence

01:08:26 Decentralized Trust and the Eigen Token

01:09:25 Forking and Adjudication in EigenLayer

01:10:52 Balancing Order and Chaos in the Eigen Token Design

01:14:11 Bridging Short-Term Utility and Long-Term Merit in EigenLayer





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.


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In this episode of the Delphi podcast, the co-founders of Drift Protocol, Cindy Leow, along with Arthur Hayes and Kyle Samani, discuss the vision and development of Drift, as well as the future of DeFi. They highlight the importance of censorship resistance and access to financial markets for all individuals, regardless of their location. They also discuss the advantages of building on Solana and the challenges of operating an app chain. The conversation covers topics such as cross-margin and cross-collateral, the democratization of finance through DeFi, the potential of tokenizing real-world assets, and the value of meme coin derivatives. The episode concludes with a discussion on the future of Drift, including plans for faster transactions and the internalization of MEV. The conversation covers various topics related to decentralized finance (DeFi) and the current state of the crypto market. The speakers discuss the advantages and challenges of decentralized exchanges (DEXs) compared to centralized exchanges, the potential for stablecoin innovation, the growth of DeFi, and the future of the crypto market. They also touch on the upcoming token generation event (TGE) for Drift Protocol.

Cindy's Twitter - https://twitter.com/cindyleowtt
Arthur's Twitter - https://twitter.com/CryptoHayes
Kyle's Twitter - https://twitter.com/KyleSamani



Chapters



00:00 Introduction and Backgrounds

04:21 The Vision for DeFi

08:37 The Importance of Censorship Resistance and Access to Financial Markets

12:56 The Evolution of Drift Protocol

19:03 The Rise of Meme Coin Derivatives

21:19 Exploring Faster Transactions and MEV Capture

23:42 App Chain vs Monolith: Trade-offs and Considerations

26:58 The Future of Drift: Financializing Assets and Improving User Experience

30:48 The Value of Building on an L1 like Solana

31:43 The Advantages and Challenges of DEXs

34:39 The Potential for Stablecoin Innovation

38:03 The Growth of DeFi and Improving the Trading Experience

47:23 The Future of the Crypto Market

50:46 The Impact of Token Vesting Schedules

56:30 Factors Influencing the Crypto Market





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.






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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





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.








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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.






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GRASS (GetGrass.io) is a viral crypto AI project built on Solana that aims to scrape and validate internet data for AI training. The name 'GRASS' was chosen for its memeability and metaphors. The project addresses the scarcity of quality data and the control of web data by a few companies. It also tackles the unfairness of companies scraping data from residential networks without compensating users. GRASS is a network of 2 million devices that scrape and clean web data in real-time. The data collected by GRASS can be used for training specialized AI models, fine-tuning models, and real-time inference. GRASS is a web scraping protocol that aims to democratize access to public web data and enable the creation of AI models. The protocol allows users to download a browser extension or mobile app that scrapes data from websites and contributes it to the GRASS network. The data is then validated and stored on a decentralized network of nodes. GRASS aims to provide transparent and verifiable data, ensuring fairness and preventing bias in AI models. The protocol is built on the Solana blockchain for its speed, scalability, and innovation.


Andrej's Twitter - https://twitter.com/0xdrej



Chapters

00:00 - Introduction to GRASS

17:00 - Utilizing GRASS Data for AI Models and Inference

26:04 - Amassing Users and the Mission of GRASS

34:26 - Transparency and Privacy in Data Collection

44:36 - Tracking and Authenticating Data Sources

55:05 - Representing Every Region and Culture




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.


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Josh, the co-founder of Astria, discusses the journey from data availability layers to building a shared sequencer network. He explains the concept of shared sequencing and its advantages, such as amortizing the cost of engineering and providing a competitive experience for rollup developers. He also addresses the trade-offs and constraints of using a shared sequencer, including the block time and potential lock-in. Josh highlights the target market for shared sequencers and the potential value accrual in a world where multiple rollups tap into the same shared sequencer. Astria is focused on building a shared sequencer for rollups, which allows for faster and more cost-effective transactions. The market is still evaluating the cost and security trade-offs of shared sequencers versus centralized providers. The architecture of a shared sequencer relies on a distributed network, but it remains to be seen if it can be cost-competitive in the market. There is also an ideological question of where to draw the line between a developer building an app-specific rollup on a centralized sequencer and writing to a base layer. The landscape of optimistic rollups versus ZK rollups is constantly evolving, with ZK technology progressing significantly. Base sequencing refers to rollups that are purely dependent on the block producers of the L1, while shared sequencing involves a separate sequencing layer. Astria's go-to-market strategy involves vertically integrating and building their own rollups on top of the shared sequencer to demonstrate its viability.


⁠Josh's Twitter - https://twitter.com/Jskybowen



Chapters

00:00 Introduction and Background
17:14 Target Market for Shared Sequencers
25:11 Value Accrual in a World with Shared Sequencers
32:41 The Evolving Landscape of Optimistic Rollups and ZK Rollups
44:11 The Definition and Challenges of Base Sequencing
50:41 Astria's Go-to-Market Strategy: Vertically Integrating and Building Their Own Rollups



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.




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Send in a voice message: https://podcasters.spotify.com/pod/show/the-delphi-podcast/message