درباره این اپیزود
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
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