
Inversion's Vision for Real-World Crypto w/ Santiago Roel Santos
In this episode, Austin chats with Santiago Roel Santos, founder of Inversion, discussing why crypto has struggled to reach mainstream adoption and what it will take to change that. Santiago explains how Inversion applies a private-equity-style model to deploy capital into real-world use cases, rather than chasing speculative cycles. He outlines why stablecoins are emerging as crypto’s strongest product-market fit, what infrastructure still needs to mature, and how regulatory clarity is shaping global distribution. The conversation also covers chain selection, the limits of “casino onboarding,” and why genuine adoption depends on building products that solve practical problems for people and businesses. 00:00 - Understanding Inversion and Its Origins 07:18 - Crypto's Consumer to Enterprise Shift 12:59 - Interoperability and Choosing the Right Blockchain 17:16 - Private Equity in a High Interest Rate Environment 20:16 - Distribution vs. Product in Crypto 25:50 - The Future of Crypto and Stablecoins 33:19 - Global Economic Power and Technology 35:51 - Crypto's Impact on Corporate Structures 40:32 - Tokenized Stocks and Market Access 48:02 - Advice for Founders in the Crypto Space
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Inversion's Vision for Real-World Crypto w/ Santiago Roel Santos
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Building the Bitcoin Equivalent for AI Inference Compute with David and Daniil Liberman (Gonka)
In this episode, Austin chats with David and Daniil Liberman of Gonka about the case for using crypto to build a permissionless, meritocratic AI compute network focused on inference rather than decentralized training. They argue that centralized AI infrastructure is rapidly concentrating both revenue and compute, and contrast Bitcoin’s immutable, open rules with corporate systems whose promises can change. With Bitcoin as their north star, Gonka’s protocol aims to verify inference outputs and validate the underlying hardware to guard against fraud, censorship, and model substitution, using proof-of-work-like measurements of real, always-on hardware rather than proof-of-stake incentives. 00:00 - Why Crypto for AI 03:10 - Inference Over Training 05:02 - Bitcoin as Compute Incentives 07:21 - OpenRouter Critiques 11:36 - Open Source and Safety 18:51 - How Gonka Works 20:14 - Verifiable Inference Proof 24:22 - Privacy and Encryption 29:07 - Decentralized Training Roadmap 34:16 - Keeping Frontier Labs Honest 42:44 - More on Why Bitcoin Provides an Ideal Compute Model 44:23 - Where to Learn More Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What are Intents Actually Solving? with Declan Hannon (Aurora Labs)
In this episode, Austin chats with Declan from Aurora Labs about building on NEAR’s Intents architecture. Declan explains why intents go beyond “a better bridge UI" and how Aurora Intents actually work, enabling one-click cross-chain journeys. They discuss how the protocol helps create liquidity, adoption metrics (over $21B lifetime volume, about $1B monthly), and use cases across wallets, neobanks, payments, RWAs, and more. The conversation also explores inherent cross-chain risks, as highlighted by a Litecoin reorg double-spend incident, and the need for insurance-like protections for onchain products. 0:00 - Aurora Intents Overview 02:57 - Intents vs Bridges 05:21- Solver Network Explained 06:23 - Aurora Intents’ Behind the Scenes Flow 07:43 - Liquidity and Market Making 08:55 - Real World Use Cases 11:25 - Confidential Intents 16:11 - Intents’ Speed Tradeoffs and Risks 17:30 - Litecoin Incident Earlier This Year 19:51 - Liability and Insurance 26:08 - Future Verticals for Intents 28:36 - Where to Learn More Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

OUT OF SCOPE Ep. 2: Anything But Crypto with David Hoffman
In this episode, Austin and Tori join David Hoffman (Bankless) to talk about "anything but crypto." Their conversation spans longevity and mind-uploading, the challenges of changing opinions in public, and how modern media incentives distort nuanced ideas. They also discuss social media, the future of long-form content, AI risk and alignment, what it means to “win” the AI race, regulatory uncertainty, and ... yes, David's ideas around fitness. 00:00 - Welcome and intro 01:46 - How Do You Want to Live? 06:17 - Changing Your Mind as a Public Figure 09:35 - Media Distortion Effects 14:34 - Quality of Content vs Virality 16:33 - Yudkowsky and AI Doom 24:58 - Base Models' Values 27:55 - China and AI's Moral Core 30:01 - What Winning the AI Race Means 36:46 - Why CLARITY Stalled 41:47 - Hypertrophy and Longevity 44:23 - Conclusion Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.