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 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 Yan's Twitter - https://x.com/yanliberman

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.

The conversation explores the concept of attention as a driving force in the crypto market, particularly in the context of meme coins. It discusses how attention influences demand and behavior, and how it can be a valuable asset in itself. The conversation also touches on the importance of distribution and capturing attention in the success of crypto projects. It examines the role of fundamentals in the market and how attention can drive price and technology improvements. The conversation concludes with a discussion on how crypto has the potential to disintermediate the Web2 model of monetizing attention through the use of tokens. The conversation explores the impact of meme coins and the attention economy on the crypto space. It discusses the beauty of meme coins as they are not trying to be something they are not, and the pure speculation they represent. It also highlights the difficulty of disintermediating incumbents in the web2 space and the importance of the application layer in web3. The conversation delves into the potential of tokens as a new distribution channel and the ability to connect creators with fans. It also explores the role of AI in changing the way we interact with the internet and the potential for AI to disrupt the advertising business models of big tech giants. The conversation concludes with a discussion on the net impact of meme coins and the attention economy on the crypto space.

Kevin's Twitter - https://x.com/Kevin_Kelly_II Michael's Twitter - https://x.com/mrink0

Chapters

00:00 Introduction and Inspiration for the Report

04:25 The Long-Term Value of Attention

09:44 Distribution Channels and Capturing Attention

23:40 Disintermediating the Web2 Model with Tokens

33:38 The Beauty and Speculation of Meme Coins

34:57 The Importance of the Application Layer in Web3

40:16 Tokens as a New Distribution Channel

46:42 The Potential of AI in Changing Internet Interaction

53:40 Debating the Net Impact of Meme Coins and the Attention Economy

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.

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.

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.