Leveraging AI & Layer 2 Blockchain Solutions
summary
A platform-first pitch that claims agents run off-chain agent-based L2 work by opening peer-to-peer state channels, spinning up short-lived chains, and using aggregated signature verification to avoid on-chain congestion. It ships a Cosmos-based chain, a search-and-discovery protocol, an open economic framework, and a collective machine learning layer where contributors co-own models and revenue. Live proofs include a mobility/delivery MVP trial and an agent DEX plus a liquidity-protection agent that auto-withdraws on negative signals while keeping key control with the user.
AI-written summary · about
chapters (12)
- 0:00Introduction to Fetch.ai
- 1:38Company background
- 2:57Core technology and agents
- 4:29Multi-agent systems
- 6:00Blockchain infrastructure
- 7:19Layer 2 scaling solutions
- 9:32Interoperability and use cases
- 10:59Future of collective intelligence
- 12:41Real-world applications
- 14:34Identity and co-learning
- 16:27Bridging crypto and real world
- 18:04Q&A session
related talks
16mTokenization and Agents: Why It Matters
15mBuilding AI Agents the Web3 Way
13mKite AI: Economic Layer for Agentic AI
17mInfrastructure of AI
19mTrusting Agents With Capital: The Gearbox Playbook
20mAn Overview of Building with AI on Base
27mFrom Theory to Real-World Impact
14mWhy does AI need Blockchain?