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/

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