Confidential AI for Web3: SecretVM x Solidity-LLM Explained

Description

Discover how SecretVM and ChainGPT's Solidity-LLM are ushering in a new era of confidential AI for Web3. In this video, you’ll learn: - What SecretVM is and how its hardware-based Trusted Execution Environments (Intel TDX, AMD SEV) enable encrypted, verifiable on-chain compute. - How Solidity-LLM, a 2B-parameter AI model trained on 650,000+ Solidity contracts, writes and audits smart contracts without exposing your source code. - Why running AI inside a confidential virtual machine solves the paradox of AI-assisted development vs. IP and data privacy. - Real use cases: private smart contract co-development, confidential auditing, institutional DeFi, DAOs, and cross-chain automation. - How confidential AI can help enterprises meet regulatory and compliance requirements in finance, healthcare, and governance. Chapters: 00:00 Intro – Why confidential AI for Web3 matters 01:00 SecretVM overview and TEEs in plain English 02:30 Inside Solidity-LLM: training data, parameters, and strengths 04:00 How confidential AI-assisted smart contract development works end-to-end 06:00 DeFi, DAOs, and institutional use cases 08:00 Future roadmap: multi‑agent orchestration, confidential fine‑tuning, cross‑chain deployments Keywords: confidential AI, Web3, SecretVM, Solidity-LLM, ChainGPT, confidential computing, trusted execution environment, TEE, encrypted smart contracts, private smart contract auditing, confidential DeFi, privacy-preserving AI, verifiable compute on-chain, Ethereum, EVM, federated learning, secure multi-party computation, decentralized AI agents. If you’re a Web3 developer, auditor, or enterprise builder, this video will help you understand how to ship AI-powered smart contracts without giving up control over your data, code, or business logic.