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Ritual’s Modular Storage Explained Ritual introduces modular, storage-agnostic infrastructure that connects smart contracts with both Web2 and Web3 data layers, enabling secure, cost-efficient, and flexible access to large AI models and beyond. Ritual fixes this with modular, storage-agnostic design. Instead of locking into one system, Ritual uses repositories that can plug into multiple storage layers. #ritual #ai #tee
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What Are Ritual Smart Agents? Ritual enables verifiable, autonomous, and cross-chain AI agents with self-evolving capabilities. Ritual offers a framework for secure, cross-chain agents with: - Verifiable execution through TEEs and blockchain provenance. - On-chain AI inference for real-time decision-making. - Account abstraction for secure wallet management. - Cross-chain composability to act across any network. - Model marketplaces to trade agent models. #ritual
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Ritual’s Gadgets for Verifiable AI Ritual brings computational integrity to AI — making sure outputs are provably correct, without blind trust in centralized operators. Supported Gadgets: - ZK Machine Learning: Strongest cryptographic security, but costly and slow. - Optimistic ML: Assumes correctness, checks only if disputed, cheaper and scalable. - Trusted Execution Environments: Fast and private, but relies on chip vendors. - Probabilistic Proof ML: Cheap, statistical verification for heavy workloads like LLMs. #ritual
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EVM++ Sidecars Explained Simply Ritual extends the EVM with modular sidecars for powerful compute. Unlike Ethereum, where precompiles live in the client code, Ritual runs them as separate containers that scale in parallel. Supported Sidecars: - Classical ML: Run tree- and regression-based models. - LLM Inference: Power advanced language tasks with LLMs. - ZK Proofs: Generate verifiable zero-knowledge proofs. - TEE Execution: Secure compute in trusted environments for AI, APIs, and agents. - Chain Abstraction: Read and soon write state across other blockchains. #ritual
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