Confidential AI for Web3: SecretVM + Solidity-LLM Explained

Description

Discover how SecretVM and ChainGPT's Solidity-LLM bring confidential AI to Web3 smart contract development. In this video, you’ll learn: - What SecretVM is and how Trusted Execution Environments (Intel TDX, AMD SEV) protect your smart contract code. - How Solidity-LLM, a 2B-parameter model trained on 650,000+ Solidity contracts, generates and audits smart contracts privately. - Why running AI inside an encrypted enclave solves the IP and data-leak risks of traditional cloud-based coding assistants. - Real use cases: confidential co-development, AI-assisted security audits, compliant DeFi, DAOs, and institutional workflows. - How developers can call Solidity-LLM via API/SDK or directly from smart contracts as a programmable on-chain agent. - The future roadmap: confidential fine-tuning, multi-agent orchestration, federated learning on encrypted data, and cross-chain deployments. SEO-friendly key points covered: - Confidential AI for Web3 and Ethereum. - Private smart contract generation and audit. - On-chain verifiable AI inference with remote attestation. - Privacy-preserving DeFi, DAOs, and enterprise automation. If you’re a Web3 developer, auditor, or builder in DeFi, DAOs, or institutional blockchain, this video will show how to leverage confidential computing and domain-specific AI to ship faster without exposing your code or business logic. Chapters: 0:00 Intro – Why confidential AI for Web3 matters 1:10 What is SecretVM and confidential virtual machines 3:00 Inside Solidity-LLM and its Solidity training 5:00 How confidential AI-assisted development actually works 8:00 Use cases: developers, auditors, enterprises, DeFi & DAOs 11:00 Federated learning and encrypted datasets 13:00 Roadmap and how to get started