Tory Green: io.net’s 500,000 GPUs Powering Crypto x AI on Solana
The Delphi Podcast8 Huhti 2024

Tory Green: io.net’s 500,000 GPUs Powering Crypto x AI on Solana

io.net is a distributed training and inference project built on Solana. They aim to solve the problem of the GPU shortage in the AI industry by building a decentralized network that connects underutilized GPUs from multiple sources. Ionet uses clustering technology to combine GPUs from different geographic locations, allowing for more efficient and cost-effective AI compute. They are attracting both web2 and web3 customers, with a focus on inferencing, which makes up the majority of the market. The goal is to decentralize the AI ecosystem and prevent big tech companies from controlling all aspects of AI. io.net is a decentralized AI network that provides GPU compute power for AI workloads. They are focused on solving the compute aspect of decentralized AI and offer a network of choice for users to perform inference, fine-tuning, and training. The team is driven by a sense of urgency and executes quickly, following operational best practices. They have a disciplined go-to-market approach, targeting Series A to seed-generated AI companies. io.net aims to be the currency at the center of decentralized AI and is exploring the possibility of building a decentralized model marketplace and expanding into other areas like gaming and zero knowledge.



Chapters


00:00 Introduction to Ionet

01:03 Solving the GPU Shortage

13:24 Attracting Web2 and Web3 Customers

27:51 Building a Decentralized Model Marketplace

29:47 The Role of Crypto in Incentivizing Participants

32:37 Easy Onboarding for GPU Workers

34:00 Organic Demand and Onboarding Sales Process

37:20 Choice and Flexibility in Compute Options

43:22 Conquering the Three Key Stakeholders in Decentralized AI

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.



Jaksot(468)

Kyle Samani and Nick White: Are Modular or Monolithic Blockchains The End Game Design?

Kyle Samani and Nick White: Are Modular or Monolithic Blockchains The End Game Design?

In this spirited debate podcast episode, Tommy is joined by Kyle Samani, Co-Founder of Multicoin Capital, and Nick White, COO of Celestia Labs, to discuss the future of blockchain infrastructure. Kyle lays out the case for integrated blockchain platforms like Solana and Aptos that optimize for scalability, while Nick argues for the flexibility of modular networks like Celestia. They dive deep into the core philosophies underpinning modular versus monolithic designs when it comes to topics like scalability, verification, composability, and more. Kyle and Nick exchange perspectives professionally on whether modular systems or integrated chains will become the optimal architecture for blockchains in the long run. This intellectually stimulating discussion provides insight into the reasoning behind two schools of thought on blockchain infrastructure design. Learn about the end-state visions from Kyle and Nick as they civilly debate this important topic for the future of crypto and Web3. Resources The Hidden Costs of Modular Systems by Multicoin Capital Socials Kyle’s Twitter Nick’s Twitter Tommy’s Twitter Follow Delphi Digital Website: ⁠⁠https://members.delphidigital.io/home⁠⁠ Twitter: ⁠⁠https://twitter.com/Delphi_Digital⁠⁠ Youtube: ⁠⁠https://www.youtube.com/@Delphi_Digital⁠ 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. Multicoin Capital Disclosure Although our guests this week are managing partners of a registered investment adviser, nothing in this podcast should be considered an offer of Multicoin’s investment advisory services or should otherwise be confused for investment, tax, legal or other financial advice. Keywords blockchain, cryptocurrency, decentralization, web3, modular systems, integrated platforms, scalability, throughput, latency, flexibility, customizability, developers, smart contracts, consensus, proof of stake, interoperability, bridges, atomic composability, rollups, ethereum, solana, celestia, aptos, multicoin capital, infrastructure, architecture, verification, security, nodes, validation, governance, regulation, modular blockchain, monolithic blockchain,

1 Syys 20231h 25min

James Seyffart, Scott Johnson and Hal Press: Are Bitcoin and Ethereum ETFs are Inevitable?

James Seyffart, Scott Johnson and Hal Press: Are Bitcoin and Ethereum ETFs are Inevitable?

In this episode, Tommy speaks with James Seyffart, Scott Johnsson, and Hal Press about the latest developments in the long-running saga to get Bitcoin and Ethereum exchange-traded funds (ETFs) approved by the SEC. They discuss the current filings from major players like Grayscale, BlackRock, and ARK Invest, provide analysis on Grayscale's lawsuit against the SEC, and debate the timeline and likelihood of approval. The experts also examine the potential market impact and discuss how an ETH futures ETF approval could pave the way for a spot Bitcoin ETF. Will the SEC finally approve these products? How would it impact crypto adoption? Tune in for this wide-ranging discussion on the nuances of ETF filings, SEC reasoning, and the uncertain road ahead. As a disclosure the host Tommy currently holds ETHE. Socials ⁠James Seyffart's Twitter Scott Johnsson's Twitter Hal Press's Twitter ⁠Tommy’s Twitter⁠ Follow Delphi Digital Website: ⁠⁠⁠https://members.delphidigital.io/home⁠⁠⁠ Twitter: ⁠⁠⁠https://twitter.com/Delphi_Digital⁠⁠⁠ Youtube: ⁠⁠⁠https://www.youtube.com/@Delphi_Digital⁠⁠ 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. Keywords  bitcoin ETF, ethereum ETF, SEC approval, crypto ETF, grayscale bitcoin trust, GBTC, ethereum grayscale trust, bitcoin futures ETF, ethereum futures ETF, spot bitcoin ETF, SEC regulation, crypto regulation, bitcoin adoption, institutional crypto adoption, bitcoin price impact, crypto investing, bitcoin investing, bitcoin IRA, bitcoin in brokerage account, grayscale vs SEC, gensler bitcoin, crypto ETF race, winklevoss ETF, Barry Silbert, digital asset investing, bitcoin institutional adoption, bitcoin mainstream adoption, bitcoin passive investing

23 Elo 20231h 22min

Andrew Kilbride and Matthew Lewis: TestMachine's AI Is Attacking Crypto Code To Surface and Fix Vulnerabilities

Andrew Kilbride and Matthew Lewis: TestMachine's AI Is Attacking Crypto Code To Surface and Fix Vulnerabilities

In this episode, we delve into the fascinating world of blockchain security and the intersection of artificial intelligence with the crypto space. Join us for an insightful conversation with the co-founders of Test Machine, a company dedicated to making smart contracts safer by utilizing advanced AI technology for vulnerability detection. Matt and Andrew share their experiences, insights, and expertise in the realm of smart contract security. They discuss the challenges of identifying vulnerabilities, the potential risks of AI misuse, and the synergy between blockchain technology and AI in enhancing data reliability and security. Whether you're a developer, investor, or simply curious about the future of blockchain, this episode offers valuable perspectives on the evolving landscape of crypto security. Socials Andrew's Twitter Matt's Twitter TestMachine's Website Tommy’s Twitter Follow Delphi Digital Website: ⁠⁠https://members.delphidigital.io/home⁠⁠ Twitter: ⁠⁠https://twitter.com/Delphi_Digital⁠⁠ Youtube: ⁠⁠https://www.youtube.com/@Delphi_Digital⁠ 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. KeywordsAI-driven security, Blockchain technology, Smart contract vulnerabilities, Test Machine solutions, Crypto security, Ethical hacking, Blockchain data integrity, AI in cybersecurity, Vulnerability detection, AI-powered audits, Crypto ecosystem, Dystopian AI scenarios, Blockchain adoption, AI-Blockchain integration, Defi projects, Ethical hacking tools, Crypto autonomy, Future of blockchain, Financial data protection, Crypto industry challenges, AI,

10 Elo 202355min

Stephen Wolfram: Unraveling the Mysteries of Large Language Models, Intelligence and Autonomous Crypto Agents

Stephen Wolfram: Unraveling the Mysteries of Large Language Models, Intelligence and Autonomous Crypto Agents

In this thought-provoking podcast episode, we discuss the mysteries surrounding Large Language Models (LLMs) and their implications for the future of artificial intelligence (AI) with Stephen Wolfram, creator of Mathematica, Wolfram | Alpha & Wolfram Language. We dive into the fascinating world of Large Language Models (LLMs) and their surprising capabilities. He also discusses the underlying scientific principles behind LLMs, including the concept of computational irreducibility, and how they function as probabilistic sentence finishers. Wolfram reflects on the potential applications of LLMs in computational contracts and the challenges of aligning AI systems with human aspirations. As the conversation delves into the future of AI governance, Wolfram explores the complexities of regulating AI and the importance of finding a balance between human intervention and autonomous decision-making. This episode offers a captivating exploration of the evolving landscape of AI and its impact on various industries and job roles. If you enjoy the podcast, please follow us on ⁠Spotify⁠ and rate us 5 stars on ⁠Apple Podcasts⁠. Socials Stephen Wolfram Stephen Wolfram's Website ⁠Tommy’s Twitter⁠ Follow Delphi Digital Subscribe to Delphi Digital: ⁠https://members.delphidigital.io/home⁠ Twitter: ⁠https://twitter.com/Delphi_Digital⁠ YouTube: ⁠https://youtube.com/@Delphi_Digital⁠ Disclosures: This conversation is for informational purposes only and does not constitute legal or investment advice. Actual results may vary materially from any forward looking statements made and are subject to risks and uncertainties. This podcast is not investment advice. Do not buy or sell tokens based off this episode.

27 Heinä 20231h 27min

Jesse Pollak: Coinbase Launches Base - An Ethereum L2 Accessible To 100 Million Coinbase Users

Jesse Pollak: Coinbase Launches Base - An Ethereum L2 Accessible To 100 Million Coinbase Users

Podcast description In this episode we talk to Jesse Pollak, Head of Protocols at Coinbase where he leads the development of Base, Coinbase’s L2 built on the OP Stack. Prior to leading Protocols, he led retail engineering at Coinbase for many years, building Coinbase, Coinbase Pro, and Coinbase Wallet. We explore how Base went from idea to product inside of Coinbase, how Base and Coinbase will reconcile their differences in technical and social centralization, how Base compares to other solutions, and much more. If you enjoy the podcast, please follow us on Spotify and rate us 5 stars on Apple Podcasts. Socials Jesse Pollak Base Tommy’s Twitter Follow Delphi Digital Subscribe to Delphi Digital: https://members.delphidigital.io/home Twitter: https://twitter.com/Delphi_Digital YouTube: https://youtube.com/@Delphi_Digital Disclosures: This conversation is for informational purposes only and does not constitute legal or investment advice. Actual results may vary materially from any forward looking statements made and are subject to risks and uncertainties. Chapters: (0:00) - Introduction (0:58) - History of Base (7:47) - Base vs other L2 blockchains (12:50) - Reconciling Coinbase and Base’s differences (16:08) - Why L2? (20:47) - ZK rollups vs OP stack (29:16) - Growing the Base ecosystem (30:42) - Coinbase’s neutrality framework (32:23) - Base and Coinbase are complementary (34:27) - Base vs other CEX blockchains

24 Heinä 202338min

Andriy Mulyar: The AI Trailblazer Making Personal ChatGPT a Reality With GPT4ALL

Andriy Mulyar: The AI Trailblazer Making Personal ChatGPT a Reality With GPT4ALL

In this episode, we discuss the impact of AI with Andriy Mulyar, co-founder of AtlasAI and creator of GPT4All. We explore how running local private language models can provide competitive benefits over using public models like ChatGPT without confidential data. Additionally, we delve into the importance of embeddings in AI and their potential impact on understanding data semantically. Finally, Andriy shares his thoughts on crypto/AI overlap, specifically focusing on data provenance as a key area for collaboration. Socials Andriy’s Twitter GPT4ALL AtlasAI Tommy’s Twitter Follow Delphi Digital Website: ⁠⁠https://members.delphidigital.io/home⁠⁠ Twitter: ⁠⁠https://twitter.com/Delphi_Digital⁠⁠ Youtube: ⁠⁠https://www.youtube.com/@Delphi_Digital⁠ 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.

22 Kesä 202345min

Emad Mostaque: Stability AI's Open Source Models To Drive Human Potential vs OpenAI’s One Model To Rule Them All

Emad Mostaque: Stability AI's Open Source Models To Drive Human Potential vs OpenAI’s One Model To Rule Them All

In this episode of the Delphi podcast, host Tommy interviews Emad, the CEO of Stability.ai, an open source AI company dedicated to democratizing access to AI tech. Emad explains how his company handles the rapidly evolving field of AI and machine learning, including their curation filtering priority setting process and the importance of building all types of models. The discussion also touches on the potential threat of artificial general intelligence to humanity. [00:01:32] Artificial General Intelligence. [00:04:11] Misaligned AI and ISIS. [00:07:26] Need for decentralization in AI. [00:11:17] Optimizing data for aligned AI. [00:13:46] Culture-specific AI models. [00:17:53] Standardized models for intelligence. [00:21:19] OpenAI's objectives and actions. [00:24:07] AGI vs. productivity. [00:30:07] The era of big models. [00:30:51] AI's mind-boggling compression. [00:36:37] Education with AI tablets. [00:38:31] AI's emergent behavior. [00:41:02] AI and Government Control. [00:44:53] New definition of intelligence. [00:48:45] The AI Bubble. [00:52:23] Impact of AI on economy. Socials Emad's Twitter Tommy's Twitter Recent Articles to Note Forbes article against Stability.AI Emad's Response 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. Keywords Stability.ai, open source AI, machine learning, text to image AI, artificial general intelligence.,AGI, dangers, AIs, humans, fake news,AI, education, healthcare, productivity gains, unemployment, panopticon, centralized control, propaganda, metaverse, regulations, government control, decentralization, distribution, Internet 2.,Google, Microsoft, Meta, AI, China Social Credit Score System.,entity, alignment, national models, data sets, AGI.,information rails, Reddit, structured data sets, AI, business model,data center, cloud, partnerships, revenue, open auditable AI,Google Search, standardized models, primitive building blocks, custom model creation, Amazon SageMaker.,models, business, culture, library, AGI,education, healthcare, AGI, automation, open source A.I.,Amazon, supercomputer, petaflops, ranking, infrastructure.,technology, deals, GPUs, super compute, partners,stable diffusion, clusters, optimization, speed, size,language, AI, productivity, scalability, data,GPT-4, compute, training, language models, productivity increase.,supercomputer, AI, training, terrorism, model weights,Iran, nuclear weapon, technology, AI, government.,GPUs, data, compute, intelligence, deep learning,protests, deep learning models, AGI, swarm intelligence, AI bubble,investing, business model, AI, finance, moats,AI startups, SaaS revenue, exit, Stability, Web3 chains, infrastructure, consolidation waves, CACLTVs, open side, production models.

13 Kesä 202354min

RISC Zero’s Brian Retford: Zero Knowledge Returns Trust To The World and Interplay of ZK and AI

RISC Zero’s Brian Retford: Zero Knowledge Returns Trust To The World and Interplay of ZK and AI

We sit down with Brian Retford, founder of RISC Zero, to discuss the vision and potential of zero-knowledge (ZK) technology and its impact on the world. ZK technology, although currently in its early stages and with high costs, has the potential to fundamentally change trust assumptions and enable privacy and scalability. RISC Zero's thesis is centered around making cloud computing universally accessible, privacy-focused, and owned by users. By removing barriers imposed by profit-driven cloud players, RISC Zero aims to create an open marketplace for automation and cloud services, challenging the dominance of a few companies in the industry. The conversation delved into the technical aspects of RISC Zero, such as the zkVM (zero-knowledge virtual machine) and its applications. The zkVM allows developers to write programs in various languages and generate proofs to verify their intended execution. RISC Zero targets a wide range of use cases, both within and beyond the blockchain space, aiming to automate manual processes, enhance trust, and ensure privacy. They also discussed Bonsai, an L2 network running on the zkVM, which enables seamless integration of ZK proofs into various blockchain protocols. The podcast explored the interplay between ZK technology and artificial intelligence (AI), highlighting how ZK can serve as a check on automation and support authenticity, privacy, and generative art. While acknowledging the mathematical complexities involved in ZK, Brian emphasized RISC Zero's goal of making it accessible and user-friendly, allowing users to focus on the possibilities it offers rather than the underlying intricacies. The AI angle was discussed in terms of leveraging ZK to enable new forms of social networking that emphasize privacy and individual responsibility. In conclusion, the podcast provided insights into RISC Zero's mission to democratize cloud computing, the potential of ZK technology to revolutionize trust assumptions, and the broad range of applications enabled by the zkVM. The conversation also touched on the future implications of ZK in AI, identity and privacy. RISC Zero aims to overcome the challenges of ZK adoption and create a more open and accessible computing landscape. This summary was written with the help of ChatGPT. Social Links Brian Retford Risk Zero Tommy Shaughnessy Follow Delphi Digital Website: https://members.delphidigital.io/home Twitter: https://twitter.com/Delphi_Digital Youtube: https://www.youtube.com/@Delphi_Digital 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. Additional disclosure: Delphi Ventures is invested in RISC Zero.

9 Kesä 202356min