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LaMouchNFT Community
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Ritual fams Something is cooking First ritual art dropping soon gRitual to those who still gRitual


𝐑𝐢𝐭𝐮𝐚𝐥𝐢𝐬𝐭 𝐯𝐨𝐥𝐮𝐦𝐞 𝟔 "𝗥𝗲𝗹𝗶𝗰" : 𝗠𝗟-𝗘𝗻𝗮𝗯𝗹𝗲𝗱 𝗔𝗠𝗠𝘀 𝗼𝗻 𝗥𝗶𝘁𝘂𝗮𝗹 When the Ritual Foundation introduced its Altar cohort (referred to as “Apostles”), one of the projects highlighted was Relic described as an ML-enabled automated market maker. To understand Relic, it helps to start with the design of most decentralized exchanges. Traditional AMMs follow deterministic formulas. Liquidity providers deposit assets into pools. Prices move according to predefined mathematical curves. The system is transparent but reliable, but it does not interpret behavior. It does not dynamically reason about volatility. It simply executes equations. Relic is presented within Ritual’s ecosystem as an experiment in changing that limitation. According to Ritual’s official ecosystem announcement introducing the Altar Apostles, Relic integrates machine learning models into AMM logic. Rather than relying exclusively on fixed parameters, the protocol incorporates model outputs to inform how the pool behaves under different market conditions. The core idea is not to replace smart contracts with AI. Instead, Relic uses Ritual’s architecture where smart contracts can request and act upon verifiable machine learning inference, to allow model analysis to influence liquidity behavior while contract rules still enforce execution. 𝑰𝒏 𝒑𝒓𝒂𝒄𝒕𝒊𝒄𝒂𝒍 𝒕𝒆𝒓𝒎𝒔, 𝒕𝒉𝒊𝒔 𝒎𝒆𝒂𝒏𝒔: • Model outputs can inform fee adjustments • Trading patterns can be analyzed for classification • Market conditions can influence parameter tuning But final execution remains governed by smart contract constraints. This is consistent with Ritual’s broader technical premise: contracts can depend on verified inference results without trusting a centralized operator. The model computation occurs off chain, but its output is returned in a way that can be relied upon programmatically. Relic applies that primitive to market structure. In traditional finance, market makers actively adjust spreads, monitor order flow, and respond to volatility in real time. DeFi AMMs, by contrast, operate passively their formulas remain static unless governance intervenes. Relic’s design explores whether liquidity infrastructure can remain decentralized while incorporating adaptive intelligence into its operational parameters. Importantly, Ritual’s documentation does not position Relic as a centralized AI exchange or a discretionary trading desk. It is framed as an ML-enabled AMM meaning: • Liquidity pools remain onchain • Smart contracts enforce rules • AI provides analytical input • Execution remains deterministic within defined boundaries The experiment is structural, not cosmetic. If successful, Relic represents a shift in how decentralized markets function. Instead of being purely reactive mathematical systems, they can incorporate contextual analysis while preserving transparency and rule enforcement. 𝑰𝒏 𝒔𝒉𝒐𝒓𝒕: Relic is not about making a DEX “smarter” in marketing terms. It is about testing whether machine learning inference can be safely integrated into liquidity mechanics using Ritual’s verifiable computation model. That makes it one of the clearest demonstrations of what Ritual’s infrastructure is intended to enable: financial contracts that can interpret conditions, not just process transactions. @ritualnet || @ritualfnd || @joshsimenhoff || @cryptooflashh


How is Ritual Account Abstraction actually used I feel some people won't like to admit: Using Web3 still feels fragile -> One wrong click -> One bad signature -> One lost key and it’s a loss Ritual Account Abstraction changes how actions happen, not just where it🧵




















