Podcast #4: Decentralized & Open-source AI in Crypto

Yoni Ben Shimon Podcast Episode #4

Decentralized AI has the potential to - and will likely - revolutionize Web3.

In this podcast, I evaluate the current Decentralized AI projects and future investment opportunities in this category. More specifically, Ellis and I uncovered the critical problems and ideas that decentralized compute, inference, model training, and much more.

We also answer the following critical questions:

1. What are the current inadequacies in centralized AI that spawned this new decentralization?

2. How can investors stay up-to-date and make informed project investment decisions?

3. How can we leverage current decentralized AI to build a personalized thesis?

4. What are the leading projects we should all be following?

In the later part of the episode, we thoroughly investigate the current decentralized AI projects, the problems they seek to solve, and how to stay active within their community base. For my own investment strategy, I couple the same category approach with a thorough investigation of the incentive systems, emission schedules, and most importantly, developer/community engagement.

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Additional References

Getting Started in Open Source ai :

https://book.premai.io/state-of-open-source-ai/eval-datasets/

Decentralized AI in Web3 (current projects)

1. Automation and Agents

• $OLAS

• $GELATO

• $FETCH

1. Decentralized Compute :

• $NOS

• $AKT

• https://io.net/

• $RNDR

1. Decentralized Models

• TAO

• Inference

• Ritual

1. Storage :

• $AR

• $FIL