In a recent interview with Amik A., Head of Product at Autonomys Network, he shares his insights on decentralized AI for Web3 and how Autonomys Network can scale and support the fast growth of agentic technologies without compromising decentralization. Autonomys has an active Asian community involved in securing its storage network.
We also discuss:
- Will AI, like the Internet, end up dominated by a handful of big-tech companies?
- Can decentralized AI mount a meaningful challenge to centralized AI?
- What happens if we run out of data for training AI models?
- Why does Autonomy believe it has solved the blockchain trilemma and is built to scale and support the upcoming boom in AI agents?
Timestamps:
00:00 – Opening remarks
00:59 – Amik’s Background and Responsibilities
03:50 – What is AI 3.0?
05:21 – Autonomys’ Layered Approach
07:08 – AI 3.0 vs. Centralized AI
10:12 – Laying the Foundation for AI 3.0 and a Web3-Focused Future
15:23 – Solving the Blockchain Trilemma
17:46 – A Closer Look at Autonomys’ Solution to the Trilemma
20:04 – Product Roadmap
22:20 – Why Use MCP to Store Your Own Data in Centralized AI
24:55 – Users Served by Autonomys
27:08 – Challenges in Valuing Data and Compensating Data Contributors
28:40 – Will We Run Out of Data for AI Training?
31:21 – Why Build on Autonomys?
34:55 – AI + Web3: Are They a Good Match?
Here’s a sneak peek of the interview:
Hope you enjoyed the episode! Feel free to share it if you did.
Coco
I am Coco Kee, author and host of World Ledger with Coco Kee newsletter and podcast, a rebrand from BlockchainAsia, the Co-founder of Kee Global Advisors, and a dog lover with a Goldendoodle Lucy.
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