Verifiable Inference: Don't Trust, Verify | Crypto x AI Event

In this engaging debate for Crypto x AI Month, join Luke Saunders as he moderates a conversation on Verifiable Inference—a critical technology that ensures trustless AI by verifying the correctness of outputs without revealing internal workings. He is joined by leading founders from the crypto AI space, including Colin Gagich of Inference Labs, Ryan McNutt of SphereOne, Jeremy from Aizel Network, and Travis Good of Ambient, to explore:

► What verifiable inference is and why it’s essential in the age of AI

► How decentralized models can offer solutions to centralized AI control

► Real-world use cases of verifiable inference across blockchain and AI applications

This panel digs into the technical approaches—from ZK proofs to trusted execution environments (TEEs)—and discusses how the future of AI and crypto requires trustless verification to ensure security, transparency, and privacy.

Watch more sessions from Crypto x AI Month here: https://delphidigital.io/crypto-ai

—

Crypto x AI Month is the largest virtual event dedicated to the intersection of crypto and AI, featuring 40+ top builders, investors, and practitioners. Over the course of three weeks, this event brings together panels, debates, and discussions with the brightest minds in the space, presented by Delphi Digital.

Crypto x AI Month is free and open to everyone thanks to the support from our sponsors:

https://olas.network/
https://venice.ai/
https://near.org/
https://mira.foundation/
https://www.theoriq.ai/

—

Follow the Speakers:

– Luke Saunders on Twitter/X ► https://x.com/lukedelphi
– Travis Good on Twitter/X ► https://x.com/IridiumEagle
– Jeremy on Twitter/X ► https://x.com/immorriv
– Colin Gagich on Twitter/X ► https://x.com/colingagich
– Travis Good on Twitter/X ► https://x.com/ryanmcnutty33