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.