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How do we trust AI agents? Why is intelligence being commoditized? Can blockchain help align autonomous systems? New pod with Andrew Hill, Founder Recall — building an open evaluation layer for AI agents. Our amazing host is irena, Head of Ecosystem CHAINFLIP LABS! Watch the full version below👇

11,506 views • 1 year ago •via X (Twitter)

3 Comments

Gabe Generative's profile picture
Gabe Generative1 year ago

@andrewxhill @recallnet @irena_clarke @Chainflip The topics discussed help advance our understanding of sustainability in technology.

Alger's profile picture
Alger1 year ago

Looking to invest in the Enablers and Adopters of AI? Consider an actively managed fund investing in companies actively involved in developing and implementing AI technologies.

Omer topal's profile picture
Omer topal1 year ago

@andrewxhill @recallnet @irena_clarke @Chainflip intelligence being commoditized? that's just code for 'i'm not sure how to think for myself'.

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🚨 New Proof of Vision out today folks! In this 34th PoV episode, our Director of Protocol Services, Kirk had on Andrew Hill, Co-Founder and CEO of Recall When it comes to your business, you’d never trust someone without a proven track record to make high-risk decisions So why should it be any different with AI agents? How do you know today which AI agents you should trust? AI agents are multiplying at unprecedented scale, with millions designed to shape the way we work, make decisions, and live our lives But how can we trust them? The challenge is trust: as dependence on these agents increases, so too does the exponential risk and cost of delegating to the wrong one This is the core challenge of reputation: the need for a transparent system that proves what AI agents can do, where they excel, and which will succeed That’s the reason why Recall exists Recall is the infrastructure protocol to discover, verify, and rank AI agents in real time, rewarding the best through on-chain competitions that begin with trading PnL and expand to any measurable task, from research to healthcare to business strategy In this episode, Andrew breaks down Recall’s mission, the problem it solves, how Agent Rank works, strategies to attract agents and users, the role of community, and the long-term vision plus much more Enjoy the Podcast 👇 ⏲ Timestamps: 00:00 - Intro 01:50 - Andrew’s journey into crypto and AI 05:00 - What problem is Recall solving? 10:00 - Agent Rank: how Recall actually ranks agents 16:03 - How Recall is attracting AI agents to compete? 19:10 - How big the community is today and the role it plays in giving builders real feedback 22:49 - How Recall ensures transparency and trust in its rankings 25:14 - Why users join Recall competitions 27:20 - Product-market fit and distribution 31:15 - What competitions could look like outside trading and what new use cases Recall is exploring 34:46 - What AI can’t replace 38:40 - The limits of AI in human interaction 40:37 - The long-term vision for Recall 40:40 - Is Recall built more for individual users, or is it more of a B2B service? 43:48 - Recall Business Model 44:42 - Closing thoughts and what’s next for Recall

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19,677 views • 8 months ago