Everything Bagel: Frontier AI Models and Open Source Monetization with Founder Bidhan Roy
Have you ever considered how many frontier models could exist if open source AI was monetizable? This is the core problem that Bagel solves, and co-founder Bidhan Roy is creating a way to make open source AI monetizable. In this episode of Everything Bagel, Alex Kehaya, and Bidhan dive into this groundbreaking vision and discuss a recent blog article highlighting innovative research from the Bagel team.
Founders and developers will gain insight into a significant breakthrough in verifiable inference spearheaded by Bagel. The episode details how verification times were reduced from 200 hours to just a minute through advanced fingerprinting and watermarking technologies—a decentralized AI model management milestone.
The discussion also navigates the trade-offs between scalability and accuracy, comparing probabilistic and deterministic systems. For developers working in fields like high-frequency trading or any area reliant on precision, understanding these trade-offs is crucial.
They explore the challenges of monetizing open-source AI, the role of verifiable inference, and how Bagel is building economic incentives to empower developers. Bidhan shares insights into the open-source community's potential to rival closed AI labs and explains how Bagel is shaping the future of decentralized AI networks.
Tune in to learn how Bagel’s work transforms the open-source AI landscape and drives innovation forward.
Bagel website: https://www.bagel.net/
Show Links
The Index
X Channel
YouTube
Host - Alex Kehaya
Producer - Shawn Nova
00:06 - Monetizable Open Source AI
11:02 - Accelerating Decentralized AI Adoption
22:54 - Trading Off Determinism for Scalability
