Decentralized/crypto AI Stack Layer Breakdown

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The crypto AI stack can be broken down into three layers: the base layer focuses on resource provisioning, including compute and data provisioning; the middle layer is dedicated to training and fine-tuning the intelligence to be more capable and smarter within a network; and the third layer is focused on delivering the trained machine intelligence to different applications, known as the inference or consumption layer.

AI innovation is accelerating rapidly, but centralized control threatens equitable access and distribution. Can decentralized coordination unlock AI's full potential?

We explore this question with Upshot CEO Nick Emmons on his mission to decentralize AI models and architect mechanisms for specialized models to work together.

We dive into Upshot's network architecture, machine learning pricing models for NFT valuations and DeFi, reimagining incentives and IP protections, challenges facing decentralized models, and whether crypto startups can realistically compete against data and talent-rich Big Tech.

Get Nick's forward-looking view on if decentralization can reshape access, power, and innovation in AI - as well as predictions on AGI evolution timelines and crypto's role in advancing an open and participatory AI future.

Don't miss this forward-looking glimpse into the AI decentralization uprising from one of its leading voices.

Summary:

The vision and roadblocks for decentralizing AI models outside of Big Tech's walled gardens
Architecting coordination mechanisms for specialized AI models to work together
Reimagining the crypto-AI stack from data to models to applications
Ensuring model IP protections while enabling collective intelligence
Who wins? Evaluating if crypto startups can realistically compete against AI giants
Predictions on AGI timelines and decentralization impacting access

Key Links

Upshot: https://upshot.xyz

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Disclosures

Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi’s transparency page can be viewed ⁠⁠here⁠⁠.

Additional disclosure: Upshot is a Delphi Ventures portfolio comp

Keywords

Decentralized AI, AI centralization, crypto vs Big Tech, decentralized AI models, AI coordination mechanisms, crypto AI stack, financial AI models, NFT valuations, AI incentives, model IP protection, collective intelligence, specialized AI models, verifiable AI, generative AI models, AI infrastructure, AI applications, AI, UpShot, BitTensor, Nick Emmons, Delysium, AGI, TAO, Proof of Alpha, NFT, DeFi, DePin