The Delphi Podcast

Anil Lulla and Yan Liberman host Sapijiju, co-founder of Pump.fun. Sapijiju shares Pump.fun’s bigger vision: beyond meme coins, it’s aiming to be the most rewarding social platform, revolutionizing creator monetization, and building a $2B-backed financial ecosystem.

Pump.fun: https://pump.fun

🎯 Key Highlights

▸ Pump.fun’s vision: TikTok + Robinhood + Twitch in one

▸ Streamers earning 100–300x more than on traditional platforms

▸ 9 failed products before finding product-market fit

▸ Why most crypto firms are just riding Bitcoin

▸ New fee model: $2.4M to creators on day one

▸ Mobile-first: beating desktop crypto apps

▸ $2B balance sheet for smart capital moves

▸ 100% revenue buybacks (Hyperliquid/Binance playbook)

▸ Roadmap: stablecoin + full financial stack

▸ Young founders vs. traditional finance

▸ Why social media’s incentives are broken

▸ Targeting 16–24s ignored by incumbents

▸ Stats: 70 staff, $1.6B locked, billion+ daily volumes

▸ Aggressive M&A, Facebook-style

💡 Subscribe for more crypto & AI insights! 🔔

🧠 Follow the Alpha

▸ Sapijiju's Twitter: @sapijiju

▸ Pump.fun Twitter: @pumpdotfun

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://x.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital/

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753&nd=1&dlsi=50105fd66e6c4124

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 – Intro & Sapijiju’s crypto journey

04:45 – 9 failed products → Pump.fun success

07:15 – Product-market fit & anti-rug mechanism

09:15 – Scaling team to 70

10:30 – Vision: social trading super-app

13:00 – $2.4M to streamers on launch day

14:15 – Why social platforms fail creators

16:45 – 300x better monetization

18:15 – DMs, streaming & mobile-first

19:30 – Competing vs. Coinbase/Binance

21:45 – User patterns: TikTok + finance

24:30 – Network effects via creator rewards

26:30 – $500k creator starter kits

28:00 – Mobile strategy for viral growth

29:15 – Zora vs. Pump.fun (content vs. coin)

31:15 – Small changes → 5x streaming growth

33:30 – Sandbox for creator freedom

35:15 – Telegram + crypto-native tools

36:30 – Democratized ICOs

38:15 – $1.6B locked, billion+ daily volumes

39:15 – Stablecoin vision

40:15 – Long-term: global takeover

42:30 – $2B balance sheet strategy

44:30 – ROI-driven capital deployment

45:15 – M&A playbook

46:15 – DAT & institutional access

47:15 – Revenue buybacks model

49:15 – VCs missing meme culture

51:15 – Story Protocol critique

53:30 – Meme coins vs. infra “scams”

54:30 – Generational wealth cycles

57:45 – Crypto as last frontier

59:15 – TradFi as modern slavery

1:01:30 – Black Mirror & moderation

1:02:30 – Mobile growth engines

1:03:30 – Scaling to $200M daily revenue

1:04:30 – Post-token comms lessons

1:05:30 – Open DMs & next episode

1:06:15 – Closing thoughts

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 ma

Join Tommy Shaughnessy as he hosts Pondering Durian (Lead at Delphi Intelligence) and José Macedo (Co-Founder at Delphi Labs & Founding Partner at Delphi Ventures) to introduce Delphi Intelligence — Delphi’s new open research initiative focused on artificial intelligence. Learn why Delphi is going deep into frontier models, robotics, reinforcement learning, and the intersection of crypto and AI, and how this initiative aims to uncover transformative opportunities across emerging tech.

Delphi Intelligence: https://www.delphiintelligence.io/

🎯 Key Highlights

▸ Why Delphi pivoted to AI after years in crypto research and investing.

▸ Inside Delphi Intelligence: free, high-quality research on AI, RL, robotics, and more.

▸ How the team blends deep research with deal sourcing — like early crypto days.

▸ The three phases of AI scale: pretraining, inference, and the RL renaissance.

▸ José and PD on decentralizing RL and building “The World’s RL Gym.”

▸ The case for open AI: modular design, public reasoning, and collaboration.

▸ How LLMs are learning to “think longer” — and what it means for training.

▸ Open-source vs. proprietary AI — and China’s growing lead in open models.

▸ Why José believes AGI may already be here with GPT-4o.

▸ Where early AI startups can still win — from robotics to edge hardware.

▸ Why this AI moment feels like crypto in 2017 — and why it’s still early.

▸ The team’s views on AI safety vs. acceleration, including visits to Anthropic.

▸ A geopolitical view: US vs. China in AI, talent flows, and capital differences.

▸ What the next “Mag 7” of AI could be — and why Big Tech might not lead.

▸ How Delphi plans to find early winners in AI, like they did in crypto.

💡 Subscribe for more crypto & AI insights! 🔔

🧠 Follow the Alpha

▸ Delphi Intelligence's Twitter: @delphi_intel

▸ PD's Twitter: @PonderingDurian

▸ José's Twitter: @ZeMariaMacedo

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://x.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital/

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753&nd=1&dlsi=50105fd66e6c4124

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Introduction to Delphi Intelligence

01:30 - Why AI Feels Like Crypto in 2017

03:30 - The AI Research Gap Delphi Aims to Fill

06:30 - Robotics Deep Dive: Humanoids vs. Specialization

10:00 - AI’s Impact on Traditional Tech Moats

14:30 - Can the Mag 7 Be Disrupted by AI Labs?

17:00 - Google, Meta, OpenAI, and the Race for Interface

21:00 - Crypto as a Hedge Against AI-Driven Inequality

24:00 - Safety vs. Acceleration: Anthropic vs. OpenAI

28:00 - China’s Open-Source AI Strategy

31:30 - Zero-to-One vs. One-to-X Innovation Models

35:00 - Open-Source Models: Strategic or Suicidal?

38:00 - Early-Stage Edge: Where Startups Can Win

42:00 - Verticalized AI Apps, Context Engineering, and GPTs

46:00 - US vs. China in Robotics: Software vs. Hardware

50:00 - The Role of Simulation, Sensors, and Real-World Feedback

53:00 - Delphi’s Dual Approach: Deep Research + Early Deal Flow

55:00 - The Vision for Delphi Intelligence 10 Years Out

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 f

Join Tommy Shaughnessy as he dives into the world of Dev.Fun with founders Devlord and Robi. Dev.Fun is revolutionizing app creation by enabling anyone — regardless of technical background — to build and launch applications using AI-powered vibe coding. Learn how the team is merging Web3, tokens, and consumer apps to create a decentralized ecosystem of user-generated tools, games, and communities. They cover technical architecture, distribution strategies, monetization paths, and why Solana is their chain of choice.

Explore how Dev.Fun is pushing the boundaries of app creation, developer incentives, and decentralized attention markets — and why streaming, tokens, and memes might be the next big unlock.

Dev.Fun: https://dev.fun/

🎯 Key Highlights

▸ Devlord and Robi's AI/crypto backgrounds and meeting via Pump.fun
▸ Birth of Dev.Fun and the “vibe coding” philosophy
▸ Empowering non-tech users to build token-based apps
▸ Shift from memes to tools, productivity, and full-stack apps
▸ Views on AI autonomy vs. human-led design
▸ Monetization via in-app payments, tokens, and community ownership
▸ Vision: from solo devs to tokenized micro-startups
▸ Modular backend, AI-first SDKs, and payment stack
▸ Stance on moderation, decentralization, and freedom
▸ How Dev.Fun differs from Web2 builders like Locofy
▸ Long-term incentives and plans for a Dev.Fun token
▸ Crypto-native future of streaming, distribution, and curation
▸ Why Solana powers their user-generated crypto apps

💡 Subscribe for more crypto & AI insights! 🔔

🧠 Follow the Alpha

▸ Dev.Fun's Twitter: @devfunpump

▸ Devlord's Twitter: @devlordone

▸ Robi's Twitter: @RxbiXyz

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: / delphi_digital

💼 LinkedIn: / delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753&nd=1&dlsi=50105fd66e6c4124

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 – Intro: Dev.Fun, Devlord & Robi
01:00 – Meeting via Pump.fun, founding story
02:20 – Vibe coding with AI
04:15 – Empowering non-devs to launch apps
06:30 – Token mechanics vs. traditional apps
08:00 – In-app monetization strategies
10:00 – Favorite builds: memes to tools
13:30 – Viral Epstein app & other hits
15:30 – AI autonomy vs. human input
18:00 – Can vibe-coded apps scale to startups?
20:00 – Foundation models shaping UX
22:00 – Dev.Fun vs. Lovable: app store vs. SaaS
24:00 – Crypto-native distribution’s edge
26:00 – Tokens, capital, and incentives
28:00 – What’s on-chain vs. off-chain
30:00 – AI scaffolding under the hood
33:00 – Future of decentralized infra
35:00 – Curation, virality, and app caps
37:00 – Moderation and NSFW policies
40:00 – Streaming, attention, Black Mirror
42:00 – Why Solana powers Dev.Fun
44:30 – Post-launch reflections
46:30 – Building vs. distributing
48:00 – Build team spotlight
49:15 – Token rewards & retention
51:30 – Key metrics: usage & value flow
53:00 – Final thoughts & vision

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.

Join Can Gurel as he hosts Harry Dewhirst, co-founder and CEO of 375ai, to discuss their ambitious real-world application of DePIN. Learn how they're building a decentralized network of sensors to capture and monetize physical data at scale.

375ai: https://www.375.ai/ 

🎯 Key Highlights

▸ Harry Dewhirst’s background in Web2/Web3 and his path to founding 375ai.
▸ How 375ai evolved from deploying third-party DePIN devices to building its own network, hardware, and token.
▸ Overview of 375ai’s edge data intelligence network, the real-world data it captures (e.g., traffic, vehicles, weather), and the advanced sensors used.
▸ How 375ai turns unstructured video into valuable, privacy-compliant, normalized data at the edge.
▸ Real examples of how 375ai’s high-fidelity, real-time data outperforms alternative data methods for businesses.
▸ 375ai’s current development phase and monetization strategy, focused on premium geographic deployments.
▸ New buyer types and use cases emerging as the network scales and historical data grows richer.
▸ 375ai’s go-to-market strategy: integrating data into major marketplaces to reach Fortune 500 companies.
▸ Why 375ai runs AI at the edge instead of the cloud—prioritizing efficiency and privacy.
▸ Modular sensor system design that supports future upgrades and evolving data needs.
▸ Introducing 375ai Street, a compact self-deployable device expanding network data coverage.
▸ Comparison with Hivemapper, and how 375ai delivers different insights through fixed sensor deployment.
▸ 375ai Go, a mobile app enabling anyone to contribute passive and active data—unlocking new monetization paths.
▸ The rising need for real-time physical data in LLMs and autonomy—and 375ai’s potential as a key proprietary source.
▸ Key challenges and risks in building and scaling physical hardware for the network.
▸ The story behind the name “375ai.”

💡 Subscribe for more crypto & AI insights! 🔔

🧠 Follow the Alpha

▸ 375ai's Twitter: @375ai_

▸ Harry's Twitter: @harry_dewhirst

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: / delphi_digital

💼 LinkedIn: / delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753&nd=1&dlsi=50105fd66e6c4124

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Intro: Harry Dewhirst & 375ai

00:55 - Harry's background

02:26 - 375ai's pivot

08:29 - 375ai overview

10:48 - Why 375ai's data is valuable

13:28 - Concrete examples of data usage

18:18 - Current stage of 375ai

22:38 - Future customers and scale

25:57 - Go-to-market strategy

29:28 - Edge AI vs. Cloud AI

34:47 - Sensors and device design

38:15 - 375ai Street and self-deployment

41:52 - Comparison with Hivemapper

44:17 - 375ai Go (mobile app)

48:06 - Demand from LLMs and real-world data

53:29 - Biggest risks and challenges

57:48 - Meaning behind the name 375ai

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

Join Tommy Shaughnessy as he hosts Mitch and Mikel, co-founders of Taofu and TPN, to discuss Taofu, a launchpad for Bittensor subnets. Learn about how they're democratizing subnet funding and their first subnet launch.

Taofu: https://www.Taofu.xyz/

Taofu Funding Form: https://form.typeform.com/to/KmvNfUg5

🎯 Key Highlights

▸ Mitch and Mikel's journey from DeFi to discovering Bittensor and Tao

▸ Taofu's subnet launchpad: selling future emissions upfront to avoid selling pressure

▸ How Dynamic TAO (dTAO) changed Bittensor's power dynamics from voting to market-based

▸ The challenge of subnet registration costs and predatory funding deals pre-dTAO

▸ Taofu's tokenization process: multisig custody and Subnet Seeds (SNS) tokens

▸ Tao Private Network (TPN): First subnet registered post-dTAO, powering decentralized VPN

▸ How miners earn rewards for providing VPN infrastructure across 80+ countries

▸ Vesting mechanics and governance voting for SNS token holders

▸ Future AI predictions: robotics integration and potential for extended human lifespan

💡 Subscribe for more crypto & AI insights! 🔔

🧠 Follow the Alpha

▸ Taofu's Twitter: @taofuxyz

▸ Mikel's Twitter: @0xDutchmikel

▸ Mitch's Twitter: @Axilo

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: / delphi_digital

💼 LinkedIn: / delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753&nd=1&dlsi=50105fd66e6c4124

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Intro: Mitch, Mikel & Taofu

01:00 - Mikel's DeFi background and transition to Bittensor

02:00 - Mitch's growth background and getting "red-pilled" into Tao

03:00 - Taofu genesis: From liquid staking to subnet launchpad

05:00 - Dynamic TAO (dTAO) impact on Bittensor power dynamics

06:00 - How Taofu solves subnet funding and exit liquidity problems

08:00 - Pre-dTAO barriers: High registration costs and predatory deals

11:00 - Taofu's tokenization process and multisig custody

14:00 - Due diligence and curation model for subnet selection

17:00 - Balancing AI advancement vs. Bittensor ecosystem growth

22:00 - Dream projects: Creative AI and privacy-focused solutions

25:00 - Tao Private Network (TPN): Decentralized VPN subnet

28:00 - TPN's global infrastructure and miner incentives

33:00 - User experience and dynamic incentive adjustments

34:00 - Upcoming TPN sale mechanics and vesting structure

37:00 - Taofu platform evolution: Analytics, governance, and bridges

38:00 - Future of AI: 6-month predictions and longevity implications

42:00 - AGI timeline predictions and closing thoughts

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.

Join Jordan Yeakley as he hosts David Choi and Conor Moore from USD.AI to discuss their innovative synthetic dollar backed by AI and DeepEnd hardware assets. Learn about USD.AI's unique approach to on-chain infrastructure financing.

USD.AI: https://usd.ai

🎯 Key Highlights

▸ David and Conor's journey from Deutsche Bank to creating USD.AI

▸ USD.AI's three-pillar structure: Caliber, modular underwriting, and QEV design

▸ How USD.AI enables debt financing for DeepEnd hardware operators

▸ The unique redemption queue mechanism that maintains USD.AI stability

▸ Multiple lines of defense protecting depositors from defaults

▸ How leveraging hardware assets can dramatically increase yields

▸ USD.AI's potential to reduce token emission rates across DeepEnd networks

💡 Subscribe for more crypto & DeFi insights! 🔔

🧠 Follow the Alpha

▸ USD.AI's Twitter: @USDai_Official

▸ David's Twitter: @0xZergs

▸ Conor's Twitter: @_ConorMoore

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://twitter.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Intro: David Choi & Conor Moore from USD.AI

01:00 - Team background and journey to USD.AI

03:00 - USD.AI's origin and the DeepEnd hardware financing problem

06:00 - USD.AI's three-pillar structure overview

07:00 - Caliber: Tokenizing hardware assets with on-chain property rights

12:00 - Modular underwriting system with first-loss positions

15:00 - QEV design: Creating an arbitrage venue for redemptions

20:00 - Summary of USD.AI's value proposition

21:00 - Default protection and amortization process

24:00 - Value proposition for borrowers and DeepEnd networks

28:00 - How USD.AI benefits neo-cloud operators

31:00 - Phased approach to scaling USD.AI

34:00 - USD.AI's place in the broader crypto ecosystem

43:00 - Next steps and upcoming launch details

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.

Join Tommy Shaughnessy as he hosts Logan Allen, founder of Zorp and Nockchain, to discuss Nockchain, a new proof-of-work L1 blockchain. Learn about its ZK Powell consensus mechanism, where miners generate ZK proofs.

Zorp: https://zorp.ioNockchain: https://nockchain.org

🎯 Key Highlights

▸ Logan Allen's journey to creating Nockchain.

▸ Nockchain's "ZK Proof of Work" (ZK Powell) and its "Dumbnet" initial phase.

▸ How block rewards will subsidize proving capacity to build a proof market.

▸ "Intents" on Nockchain: enabling micro-apps via conditional coin locks.

▸ Nockchain's state growth strategy: prove once, verify by many.

▸ Potential for specialized ZK ASICs.

▸ Knock App framework for off-chain verifiable services.

▸ Roadmap: Nockchain namespace and cross-chain atomic swaps.

▸ Vision: A circular economy with useful and engaging applications.

💡 Subscribe for more crypto & gaming insights!

🔔🧠 Follow the Alpha

▸ Zorp's Twitter: @ZorpZK

▸ Nockchain's Twitter: @Nockchain

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://twitter.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Intro: Logan Allen & Nockchain

01:00 - Interest in Knock instruction set & ZKVMs

02:00 - Building Nockchain: No pre-mine, PoW L1

03:00 - ZK Powell: Useful Proof of Work

10:00 - ZK Powell Deep Dive

12:00 - "Dumbnet" - Initial Nockchain Phase

15:00 - App Intents & Proving Capacity

19:00 - Miner Competition on Nockchain

22:00 - Knock App Development Framework

25:00 - State Growth & Verification

36:00 - Knock App Framework in Rust

38:00 - Nockchain Namespace Plans

46:00 - Challenge: Building Nockchain's Economy

52:00 - Getting Involved with Nockchain

53:00 - The "Aha!" Moment in Research

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.

Join Piers Kicks as he hosts BEN.ZZZ, founder of Cambria, for an insightful conversation about building high-stakes, risk-to-earn MMOs inspired by Runescape. Cambria is pioneering unique game worlds like Duel Arena and Gold Rush, recently concluding a season with a $1.5 million prize pool.

Cambria: https://cambria.gg

🎯 Key Highlights

▸ Ben's origins in the Runescape private server scene and the journey to founding Cambria.  

▸ Cambria's "risk-to-earn" MMO model with massive on-chain stakes.  

▸ Deep dive into Duel Arena (high-stakes 1v1) and Gold Rush (risk-to-earn MMO).  

▸ How Season 2 generated a $1.5M+ prize pool and saw massive player engagement.

▸ The emergent player behavior, guild strategies, and exploits seen in high-stakes environments.  

▸ Challenges of managing on-chain game economies: botting, exploits, and security.  

▸ Cambria's approach to balancing casual vs. hardcore players and "pay-to-win" mechanics.  

▸ Roadmap insights: Season 3 plans, Duel Arena V2, and the strategy for a potential token launch.  

▸ Cambria's multi-chain strategy and experiences deploying on different ecosystems.  

▸ The long-term vision for significant, high-stakes on-chain game economies and guild wars.  

💡 Want to stay updated with the latest in crypto & gaming? Hit subscribe and the notification bell! 🔔

🧠 Follow the Alpha

▸ Piers' Twitter: @pierskicks

▸ Ben's Twitter: @cyberpunk

▸ Cambria's Twitter: @playcambria

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://twitter.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Introduction to Ben & Cambria  

01:00 - Origins in Runescape Private Servers  

03:00 - Discovering Crypto & Early Web3 Gaming  

05:00 - Cambria Overview: Duel Arena & Gold Rush  

06:30 - Thesis Formation: Player Archetypes & Appeal  

09:30 - Duel Arena Launch & Success ($100M+ Volume)  

12:00 - Season 2 Deep Dive: Mechanics & $1.5M Prize Pool  

16:00 - Season 2 Player Stats & Engagement  

17:30 - Emergent Behavior & Exploits in Season 2  

22:30 - Challenges: Botting, Dupes & Managing On-Chain Economies  

29:00 - Balancing Risk/Reward, Casual vs. Hardcore, and Pay-to-Win  

32:00 - Roadmap: Season 3, Dungeons, Scaling  

34:30 - Duel Arena V2 & Excalibur  

36:30 - Token Launch Strategy & Considerations  

39:30 - Multi-Chain Approach (Ronin & Blast/Abstract)  

42:30 - Vision for the Future of On-Chain Game Economies  

47:45 - Evolving Thesis & Learnings  

51:00 - Most Impactful Digital Experience (Runescape)  

53:00 - Favorite Games & Recommended Reads/Media

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.

Join Tommy Shaughnessy from Delphi Ventures as he hosts Sam Lehman, Principal at Symbolic Capital and AI researcher, for a deep dive into the Reinforcement Learning (RL) renaissance and its implications for decentralized AI. Sam recently authored a widely discussed post, "The World's RL Gym", exploring the evolution of AI scaling and the exciting potential of decentralized networks for training next-generation models.The World’s RL Gym: https://www.symbolic.capital/writing/the-worlds-rl-gym

🎯 Key Highlights

The three phases of AI scaling: Pre-training, Inference Time Compute, and the RL Renaissance.

How DeepMind's novel RL approach (using GRPO) created powerful reasoning models with minimal human data.

Understanding "reasoning traces" and how models learn to "think" longer and more effectively.

The potential downsides of human preference data potentially inhibiting model creativity, drawing parallels to AlphaGo.

Exploring the "World's RL Gym" concept: Decentralizing RL through open environments, diverse tasks, and verified data.

Why open, collaborative RL environments might outperform closed-source labs in generating diverse AI strategies.

The critical role of high-quality base models for successful RL fine-tuning.

Future AI architectures: Continuous learning and the potential of modular Mixture-of-Experts (MoE) models.

Current landscape: Open-source vs. proprietary AI, the challenge of model lock-in, and the role of crypto networks.

Debunking recent claims that "RL is dead" and understanding its true impact.

💡 Want to stay updated with the latest in crypto & AI? Hit subscribe and the notification bell! 🔔

🧠 Follow the Alpha

Tommy's Twitter: @Shaughnessy119

Sam's Twitter: @SPLehman

Symbolic Capital’s Twitter: @symbolicvc

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://twitter.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Introduction: Sam Lehman, Symbolic Capital & "The World's RL Gym"

01:30 - History of AI Scaling: Pre-training Era

03:30 - Phase 2: Inference Time Compute Scaling

09:30 - Phase 3: The RL Renaissance & DeepMind Moment

14:30 - How DeepMind Trained R1 without Human Preferences

16:30 - AlphaGo Analogy: Human Data Inhibiting Creativity?

20:30 - Generalizability of RL Training: How Far Does It Go?

22:30 - The "Aha Moment": Models Learning to Think Longer

25:30 - Concept: Decentralized RL & The World's Gym

31:30 - Why Decentralize RL? Open Collaboration vs. Closed Labs

35:00 - Understanding Reasoning Traces

39:00 - Current Decentralized RL Projects (Prime Intellect, General Reasoning)

41:30 - Future Architectures: Continuous Improvement & Modular Models

46:30 - Open Source vs. Proprietary AI: Landscape & Challenges

50:30 - The Lock-In Problem with Foundational Models

52:30 - Is AGI Here? Experiences with GPT-4o

56:30 - Investment Focus in Decentralized AI

59:00 - Modular MoE Models & Jensen's HDEE Paper

1:03:00 - Debunking "RL is Dead" Claims

1:06:00 - Importance of Performant Base Models for RL

Disclaimer

This pod

Join Kevin Kelly from Delphi Digital as he hosts Guilhem Chaumont, CEO and co-founder of Flow Desks, for an insightful conversation about institutional-grade trading services in the crypto space. Flow Desks has established itself as a full-service digital asset trading and technology firm, pioneering a unique "market making as a service" approach.

🎯 Key Highlights

▸ How Flowdesk created "market making as a service" to serve crypto-native projects

▸ The growing importance of transparency, neutrality, and trust in crypto trading

▸ Why institutional adoption is a slow, steady shift—not a tidal wave

▸ The role of stablecoins and tokenized assets in the future of finance

▸ How regulation and compliance are shaping crypto’s next phase

▸ Why Flowdesk won’t issue a token—and what it says about alignment and incentives

▸ Long-term vision for tokenizing real-world assets and transforming financial rails

💡 Want to stay updated with the latest in crypto & AI? Hit subscribe and the notification bell! 🔔

🧠 Follow the Alpha

▸ Kevin's Twitter: @Kevin_Kelly_II

▸ Guilhem's LinkedIn: Guilhem Chaumont

▸ Flowdesk's Twitter: @flowdesk_co

🔗 Connect with Delphi

🌐 Portal: https://delphidigital.io/

🐦 Twitter: https://twitter.com/delphi_digital

💼 LinkedIn: https://www.linkedin.com/company/delphi-digital

🎧 Listen on

Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082

Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q

Timestamps

00:00 - Introduction to Flowdesk

02:00 - Providing Institutional Grade Service to Crypto Native Teams

04:00 - Challenges and Convincing the Market

06:58 - Current Market Read

10:00 - Why We Won’t See Large Drawdowns

13:00 - Growth Areas Going Forward

15:52 - Tokenization of Existing vs. Illiquid Assets

18:48 - Institutional Hesitation and Fee Capture

21:28 - Biggest Opportunities for Flowdesk

24:50 - Stable Coin Demand

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.