PotatoKing (✱,✱)

Training an AI model is expensive, but how do you prove that a model was actually fine-tuned on the data you provided without leaking the data itself? @ritualfnd is introducing vTune, a dual provenance and computational integrity gadget for LLMs. In the current AI landscape, you have to trust centralized providers when they say they have fine-tuned a model for you. There is no way to verify the process. Ritual solves this by combining Watermarking and ZK proofs to create an immutable record of the fine-tuning process. vTune allows for Verifiable Provenance. It tracks exactly which datasets were used and ensures the resulting model weights are authentic. This is critical for industries like healthcare or finance where the origin story of an AI logic must be auditable and tamper-proof. By utilizing Computational Integrity, vTune ensures that the fine-tuning was not skipped or faked to save on compute costs. It creates a Proof of Training that can be verified on-chain, allowing for a decentralized marketplace where users can trust the quality and history of the models they buy. The stack making this possible: ZK-Proofs for verifying the fine-tuning execution. Watermarking for identifying model weights and data origin. Modular Storage to securely hold the training artifacts. Ritual is bringing accountability to the Black Box of AI training, ensuring that decentralized models are as reliable as they are powerful. @ritualfnd @majorproject5 @Jez_Cryptoz @dunken9718 @mongdiny7

AI models are massive and data-hungry, but current blockchains have expensive and limited on-chain storage. @ritualfnd is solving this with Modular Storage, making AI models first-class citizens on the blockchain. Most protocols treat AI as an external resource accessed via oracles. This creates a disconnect between smart contracts and the data they need. Ritual introduces Provider-Agnostic Storage, abstracting access so smart contracts can directly interact with data stored on both Web2 (Hugging Face) and Web3 (Arweave/Celestia) layers. This setup enables Verifiable AI Provenance. Because the storage is integrated, Ritual can maintain an immutable record of model origins, updates, and transformations. Users don't just get an output; they get a verifiable trail proving which model was used and how it has evolved over time. By utilizing Blob Pricing and DA Layers, Ritual makes it cost-effective to store time-sensitive market data and massive model weights. This allows developers to build "Sovereign AI" applications where the model, the data, and the execution all live within a unified, decentralized framework. The stack making this possible: Modular Storage for unified access to Hugging Face, Arweave, and more. Celestia Integration for high-throughput Data Availability (DA). Verifiable Provenance to ensure model integrity and ownership. Ritual is moving AI from siloed, opaque black boxes to transparent, on-chain infrastructure. @ritualfnd @majorproject5 @Jez_Cryptoz @dunken9718 @mongdiny7

Current blockchain interactions are static, requiring users to manually sign every transaction and navigate complex UIs, so @ritualfnd is building the infrastructure for Smart Agents, autonomous entities that can think, reason, and act onchain. Standard "bots" are hard-coded and brittle. They follow simple "if-this-then-that" rules and fail when market conditions change. Ritual introduces Intelligent Decision Making by allowing agents to utilize on-chain LLMs to reason through complex scenarios. One of the biggest hurdles for agents is security. Ritual solves this through Agent Autonomy & Security. By combining Account Abstraction with TEEs, users can delegate specific permissions to an agent. The agent can sign transactions on the user’s behalf, but the underlying private keys and logic are protected within a secure enclave. Ritual also enables Multi-Agent Coordination. Through Ritual’s modular storage and messaging layers, different agents can share data and collaborate on complex tasks. The stack making this possible: EVM++ for agent execution. Infernet for bringing offchain AI models to onchain smart contracts. Enshrined Oracles to provide agents with real-time world data. Ritual is evolving the user experience from manual clicking to intent-based execution via autonomous agents. @ritualfnd @majorproject5 @Jez_Cryptoz @dunken9718 @mongdiny7