Build Agents with 0G + Office hours

on YouTube ↗19m

" summary

0G claims an EVM‑compatible Layer 1 built for on‑chain AI with four core components: storage, data availability, compute, and a service marketplace. The storage SDK now uses only uploader and downloader functions, supports client‑side encryption and KV via log storage, and promises 80–90% cost savings vs S3. Verifiable inferencing runs in TEEs with ZKML proofs for models like GLM 5.1, DeepSeek 27B and GPT‑OSS, and ERC‑7857 Agentic IDs enable encrypted metadata, re‑encryption on transfer and 100 delegated users per token; two $7.5K hackathon tracks plus post‑hack grants.

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" chapters (26)

1. 0:00Introduction and Workshop Overview
2. 0:58Speaker Introduction
3. 1:13The Trust Problem in the Agent Economy
4. 2:13What Is 0G: Decentralized AI Operating System
5. 2:45Four Core Pillars Overview
6. 3:29Why Native Storage for AI Workloads
7. 4:27Data Availability Layer Explained
8. 4:58Verifiable Inferencing in TEE Environments
9. 5:30On-Chain Fine-Tuning and Model Marketplace
10. 6:39Problems with Centralized AI Today
11. 7:32Censorship Control and Incentive Structures
12. 8:240G Storage SDK: Uploader and Downloader Functions
13. 9:39How Data Distribution and Merkle Trees Work
14. 10:08Recently Launched Encryption Feature
15. 10:32Cost Comparison: AWS S3 vs 0G Storage
16. 11:29GLM 5.1 and Verifiable Inferencing with ZKML
17. 12:09DA Throughput, TPS, and Sub-Second Block Finality
18. 12:40ERC-7857: Why Existing NFT Standards Don't Fit AI
19. 13:34Agentic ID Features: Re-Encryption and Delegation
20. 13:58Mainnet Launch and Ecosystem Stats
21. 14:55Guild on 0G 2.0 Grants Program
22. 15:49Alignment Nodes and Governance
23. 16:27Hackathon Tracks: Framework and Agent Builds
24. 17:18Project Idea Bank and MVP Review Support
25. 17:53Builder Hub and Telegram Support Channel
26. 18:11Closing and Office Hours Transition

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