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nonstopTheo🎩

@nonstoptheo

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OLAS Currents w/ @olassians + Marlin Protocol continued (Part 2 below)... Link to Part 1: https://warpcast.com/nonstoptheo/0x24c44399 Part 2: ## Oyster Platform - **Technology**: Uses TE for secure computation - **Capabilities**: Handles private data and non-deterministic agents, expanding the design space for developers. ## Integration with OLAS - **Security and Verifiability**: Enables OLAS agents to run securely and verifiably off-chain. - **New Possibilities**: Opens up handling of private data and non-deterministic computations. ## Future Prospects - **AI Agent Space**: Growing interest and rapid development. - **Marlin's Initiatives**: - One-click deployment solutions - Expanding TE support to various platforms ## Calypso Product - **Description**: A ZK-proof marketplace - **Functionality**: Outsources the generation of ZK proofs securely using TE.
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Here's a summary of yday's OLAS Currents with @olassians + Marlin Protocol . It's a great convo about how ZK + TEE co-processors can work for decentralised AI . Comment for more. Part 1: - Topic: Recent developments and integrations between Marlin and OLAS - Marlin's Role: A Verifiable Compute Protocol using Trusted Execution (TE) coprocessors to securely delegate complex workloads and verify results on-chain **Marlin's Value to OLAS** - Decentralized Autonomous Networks: Marlin's technology aids OLAS in running these networks using AI agents - Security and Verification: Helps prevent manipulation and detect incorrect responses through consensus-based mechanisms, which are often costly and impractical **Comparison of TE, ZK, OP** - TE (Trusted Execution): - Practical and cost-effective - Weaker security assumptions - ZK (Zero-Knowledge): - Highly secure - Not practical for complex applications - OP (Optimistic): - Slow due to challenge period - Broken incentives in practice
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New article out by Valory - the core contributor to the OLAS protocol (@olassians) - about Synthetic Data x OLAS agents TL;DR: The article discusses the importance of synthetic data in training AI models, emphasizing its role in preserving privacy and overcoming data scarcity. It highlights the concept of agentic AI, which involves autonomous AI agents operating in decentralized environments, leveraging blockchain for transparency and fairness. Olas ecosystem aims to democratize AI by enabling co-ownership, ensuring the benefits are widely shared and risks are minimized. The convergence of advancements in web technology, AI, and user experience is leading to a new paradigm of autonomous, decentralized AI systems that are accessible and equitable. https://www.valory.xyz/post/agent-economies-synthetic-data
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