What Is Decentralized AI? - Thinking On Paper

What this episode covers

Jihao Sun, co-founder of Flock.io, joins Mark and Jeremy to Think on Paper about decentralized AI. LLMs that trains locally, protect privacy, and reward users. They get into data ownership, blockchain-based training, and whether federated learning can really compete with centralized giants.If your data is building the next generation of AI, who’s it building it for? And why aren’t you in control?Please enjoy the show. And share with a curious friend. --CHAPTERS(00:08) Introduction to Decentralized AI(01:33) The Importance of Decentralization in AI(04:40) Accessibility and Cost of AI Technology(07:53) Understanding Federated Learning(11:38) Challenges of Centralized AI Systems(14:30) Exploring Federated Learning in Banking(17:10) Blockchain's Role in Decentralized AI(20:45) Democratizing AI Development with Flock(26:49) Real-World Use Cases of Flock(32:56) The Evolution of Parenting and Technology(35:28) Decentralization vs Centralization in AI(36:31) Future of Decentralized AI Models(37:29) Understanding AI Hallucinations(41:23) The Role of Synthetic Data(44:59) Getting Involved with Decentralized AI(45:53) Staying Out of Your Own Way(47:03) Final Thoughts on Decentralization and AI--Learn more:www.flock.iowww.thinkingonpaper.xyz

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Frequently Asked Questions

How long is this episode of Thinking On Paper?

This episode is 48 minutes long.

When was this Thinking On Paper episode published?

This episode was published on April 7, 2025.

What is this episode about?

Jihao Sun, co-founder of Flock.io, joins Mark and Jeremy to Think on Paper about decentralized AI. LLMs that trains locally, protect privacy, and reward users. They get into data ownership, blockchain-based training, and whether federated learning...

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