Agentic AI & Blockchain: Autonomous Systems
summary
Claims that agentic systems run on an autonomy engine with six core components including reinforcement learning, memory, reasoning and a governance layer that enforces ethical boundaries and real time decision metrics; demonstrates tool integration via APIs and fallbacks and gives concrete examples like AI agents posting social media and an IoT‑driven supply chain where smart contracts trigger on‑chain payments and immutable audit trails; speculates that compute costs fall sharply — cost of AI drops by a factor of 10 every year — and recommends federated learning at the edge.
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chapters (11)
- 0:00Introduction and Welcome
- 0:28Key Points from Sam Altman
- 1:49Understanding Agentic AI
- 4:16Components of AI Agents
- 5:57Agentic AI Architecture
- 7:39AI Agents in Action
- 12:56AI Automation vs. AI Agents
- 13:57Introduction to Blockchain
- 16:20Combining AI and Blockchain
- 18:24Use Cases of AI and Blockchain
- 20:05Future Outlook and Conclusion
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